mirror of https://github.com/ArduPilot/ardupilot
1458 lines
48 KiB
C++
1458 lines
48 KiB
C++
/// -*- tab-width: 4; Mode: C++; c-basic-offset: 4; indent-tabs-mode: nil -*-
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#include <assert.h>
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#include <AP_Common/AP_Common.h>
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#include <AP_HAL/AP_HAL.h>
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#include <AP_HAL/I2CDevice.h>
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#include <AP_HAL/SPIDevice.h>
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#include <AP_Math/AP_Math.h>
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#include <AP_Notify/AP_Notify.h>
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#include <AP_Vehicle/AP_Vehicle.h>
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#include "AP_InertialSensor.h"
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#include "AP_InertialSensor_Backend.h"
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#include "AP_InertialSensor_Flymaple.h"
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#include "AP_InertialSensor_HIL.h"
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#include "AP_InertialSensor_L3G4200D.h"
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#include "AP_InertialSensor_LSM9DS0.h"
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#include "AP_InertialSensor_MPU6000.h"
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#include "AP_InertialSensor_MPU9250.h"
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#include "AP_InertialSensor_PX4.h"
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#include "AP_InertialSensor_QURT.h"
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#include "AP_InertialSensor_SITL.h"
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#include "AP_InertialSensor_qflight.h"
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/*
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enable TIMING_DEBUG to track down scheduling issues with the main
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loop. Output is on the debug console
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*/
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#define TIMING_DEBUG 0
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#if TIMING_DEBUG
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#include <stdio.h>
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#define timing_printf(fmt, args...) do { printf("[timing] " fmt, ##args); } while(0)
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#else
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#define timing_printf(fmt, args...)
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#endif
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extern const AP_HAL::HAL& hal;
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#if APM_BUILD_TYPE(APM_BUILD_ArduCopter)
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#define DEFAULT_GYRO_FILTER 20
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#define DEFAULT_ACCEL_FILTER 20
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#define DEFAULT_STILL_THRESH 2.5f
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#elif APM_BUILD_TYPE(APM_BUILD_APMrover2)
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#define DEFAULT_GYRO_FILTER 10
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#define DEFAULT_ACCEL_FILTER 10
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#define DEFAULT_STILL_THRESH 0.1f
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#else
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#define DEFAULT_GYRO_FILTER 20
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#define DEFAULT_ACCEL_FILTER 20
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#define DEFAULT_STILL_THRESH 0.1f
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#endif
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#define SAMPLE_UNIT 1
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// Class level parameters
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const AP_Param::GroupInfo AP_InertialSensor::var_info[] = {
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// @Param: PRODUCT_ID
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// @DisplayName: IMU Product ID
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// @Description: Which type of IMU is installed (read-only).
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// @User: Advanced
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// @Values: 0:Unknown,1:APM1-1280,2:APM1-2560,88:APM2,3:SITL,4:PX4v1,5:PX4v2,256:Flymaple,257:Linux
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AP_GROUPINFO("PRODUCT_ID", 0, AP_InertialSensor, _product_id, 0),
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/*
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The following parameter indexes and reserved from previous use
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as accel offsets and scaling from before the 16g change in the
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PX4 backend:
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ACCSCAL : 1
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ACCOFFS : 2
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MPU6K_FILTER: 4
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ACC2SCAL : 5
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ACC2OFFS : 6
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ACC3SCAL : 8
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ACC3OFFS : 9
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CALSENSFRAME : 11
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*/
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// @Param: GYROFFS_X
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// @DisplayName: Gyro offsets of X axis
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// @Description: Gyro sensor offsets of X axis. This is setup on each boot during gyro calibrations
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// @Units: rad/s
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// @User: Advanced
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// @Param: GYROFFS_Y
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// @DisplayName: Gyro offsets of Y axis
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// @Description: Gyro sensor offsets of Y axis. This is setup on each boot during gyro calibrations
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// @Units: rad/s
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// @User: Advanced
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// @Param: GYROFFS_Z
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// @DisplayName: Gyro offsets of Z axis
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// @Description: Gyro sensor offsets of Z axis. This is setup on each boot during gyro calibrations
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// @Units: rad/s
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// @User: Advanced
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AP_GROUPINFO("GYROFFS", 3, AP_InertialSensor, _gyro_offset[0], 0),
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// @Param: GYR2OFFS_X
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// @DisplayName: Gyro2 offsets of X axis
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// @Description: Gyro2 sensor offsets of X axis. This is setup on each boot during gyro calibrations
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// @Units: rad/s
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// @User: Advanced
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// @Param: GYR2OFFS_Y
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// @DisplayName: Gyro2 offsets of Y axis
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// @Description: Gyro2 sensor offsets of Y axis. This is setup on each boot during gyro calibrations
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// @Units: rad/s
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// @User: Advanced
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// @Param: GYR2OFFS_Z
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// @DisplayName: Gyro2 offsets of Z axis
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// @Description: Gyro2 sensor offsets of Z axis. This is setup on each boot during gyro calibrations
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// @Units: rad/s
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// @User: Advanced
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AP_GROUPINFO("GYR2OFFS", 7, AP_InertialSensor, _gyro_offset[1], 0),
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// @Param: GYR3OFFS_X
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// @DisplayName: Gyro3 offsets of X axis
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// @Description: Gyro3 sensor offsets of X axis. This is setup on each boot during gyro calibrations
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// @Units: rad/s
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// @User: Advanced
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// @Param: GYR3OFFS_Y
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// @DisplayName: Gyro3 offsets of Y axis
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// @Description: Gyro3 sensor offsets of Y axis. This is setup on each boot during gyro calibrations
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// @Units: rad/s
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// @User: Advanced
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// @Param: GYR3OFFS_Z
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// @DisplayName: Gyro3 offsets of Z axis
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// @Description: Gyro3 sensor offsets of Z axis. This is setup on each boot during gyro calibrations
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// @Units: rad/s
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// @User: Advanced
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AP_GROUPINFO("GYR3OFFS", 10, AP_InertialSensor, _gyro_offset[2], 0),
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// @Param: ACCSCAL_X
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// @DisplayName: Accelerometer scaling of X axis
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// @Description: Accelerometer scaling of X axis. Calculated during acceleration calibration routine
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// @Range: 0.8 1.2
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// @User: Advanced
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// @Param: ACCSCAL_Y
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// @DisplayName: Accelerometer scaling of Y axis
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// @Description: Accelerometer scaling of Y axis Calculated during acceleration calibration routine
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// @Range: 0.8 1.2
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// @User: Advanced
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// @Param: ACCSCAL_Z
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// @DisplayName: Accelerometer scaling of Z axis
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// @Description: Accelerometer scaling of Z axis Calculated during acceleration calibration routine
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// @Range: 0.8 1.2
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// @User: Advanced
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AP_GROUPINFO("ACCSCAL", 12, AP_InertialSensor, _accel_scale[0], 0),
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// @Param: ACCOFFS_X
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// @DisplayName: Accelerometer offsets of X axis
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// @Description: Accelerometer offsets of X axis. This is setup using the acceleration calibration or level operations
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// @Units: m/s/s
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// @Range: -3.5 3.5
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// @User: Advanced
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// @Param: ACCOFFS_Y
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// @DisplayName: Accelerometer offsets of Y axis
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// @Description: Accelerometer offsets of Y axis. This is setup using the acceleration calibration or level operations
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// @Units: m/s/s
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// @Range: -3.5 3.5
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// @User: Advanced
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// @Param: ACCOFFS_Z
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// @DisplayName: Accelerometer offsets of Z axis
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// @Description: Accelerometer offsets of Z axis. This is setup using the acceleration calibration or level operations
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// @Units: m/s/s
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// @Range: -3.5 3.5
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// @User: Advanced
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AP_GROUPINFO("ACCOFFS", 13, AP_InertialSensor, _accel_offset[0], 0),
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// @Param: ACC2SCAL_X
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// @DisplayName: Accelerometer2 scaling of X axis
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// @Description: Accelerometer2 scaling of X axis. Calculated during acceleration calibration routine
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// @Range: 0.8 1.2
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// @User: Advanced
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// @Param: ACC2SCAL_Y
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// @DisplayName: Accelerometer2 scaling of Y axis
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// @Description: Accelerometer2 scaling of Y axis Calculated during acceleration calibration routine
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// @Range: 0.8 1.2
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// @User: Advanced
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// @Param: ACC2SCAL_Z
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// @DisplayName: Accelerometer2 scaling of Z axis
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// @Description: Accelerometer2 scaling of Z axis Calculated during acceleration calibration routine
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// @Range: 0.8 1.2
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// @User: Advanced
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AP_GROUPINFO("ACC2SCAL", 14, AP_InertialSensor, _accel_scale[1], 0),
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// @Param: ACC2OFFS_X
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// @DisplayName: Accelerometer2 offsets of X axis
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// @Description: Accelerometer2 offsets of X axis. This is setup using the acceleration calibration or level operations
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// @Units: m/s/s
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// @Range: -3.5 3.5
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// @User: Advanced
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// @Param: ACC2OFFS_Y
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// @DisplayName: Accelerometer2 offsets of Y axis
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// @Description: Accelerometer2 offsets of Y axis. This is setup using the acceleration calibration or level operations
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// @Units: m/s/s
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// @Range: -3.5 3.5
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// @User: Advanced
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// @Param: ACC2OFFS_Z
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// @DisplayName: Accelerometer2 offsets of Z axis
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// @Description: Accelerometer2 offsets of Z axis. This is setup using the acceleration calibration or level operations
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// @Units: m/s/s
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// @Range: -3.5 3.5
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// @User: Advanced
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AP_GROUPINFO("ACC2OFFS", 15, AP_InertialSensor, _accel_offset[1], 0),
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// @Param: ACC3SCAL_X
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// @DisplayName: Accelerometer3 scaling of X axis
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// @Description: Accelerometer3 scaling of X axis. Calculated during acceleration calibration routine
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// @Range: 0.8 1.2
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// @User: Advanced
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// @Param: ACC3SCAL_Y
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// @DisplayName: Accelerometer3 scaling of Y axis
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// @Description: Accelerometer3 scaling of Y axis Calculated during acceleration calibration routine
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// @Range: 0.8 1.2
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// @User: Advanced
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// @Param: ACC3SCAL_Z
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// @DisplayName: Accelerometer3 scaling of Z axis
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// @Description: Accelerometer3 scaling of Z axis Calculated during acceleration calibration routine
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// @Range: 0.8 1.2
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// @User: Advanced
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AP_GROUPINFO("ACC3SCAL", 16, AP_InertialSensor, _accel_scale[2], 0),
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// @Param: ACC3OFFS_X
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// @DisplayName: Accelerometer3 offsets of X axis
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// @Description: Accelerometer3 offsets of X axis. This is setup using the acceleration calibration or level operations
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// @Units: m/s/s
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// @Range: -3.5 3.5
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// @User: Advanced
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// @Param: ACC3OFFS_Y
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// @DisplayName: Accelerometer3 offsets of Y axis
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// @Description: Accelerometer3 offsets of Y axis. This is setup using the acceleration calibration or level operations
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// @Units: m/s/s
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// @Range: -3.5 3.5
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// @User: Advanced
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// @Param: ACC3OFFS_Z
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// @DisplayName: Accelerometer3 offsets of Z axis
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// @Description: Accelerometer3 offsets of Z axis. This is setup using the acceleration calibration or level operations
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// @Units: m/s/s
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// @Range: -3.5 3.5
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// @User: Advanced
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AP_GROUPINFO("ACC3OFFS", 17, AP_InertialSensor, _accel_offset[2], 0),
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// @Param: GYRO_FILTER
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// @DisplayName: Gyro filter cutoff frequency
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// @Description: Filter cutoff frequency for gyroscopes. This can be set to a lower value to try to cope with very high vibration levels in aircraft. This option takes effect on the next reboot. A value of zero means no filtering (not recommended!)
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// @Units: Hz
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// @Range: 0 127
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// @User: Advanced
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AP_GROUPINFO("GYRO_FILTER", 18, AP_InertialSensor, _gyro_filter_cutoff, DEFAULT_GYRO_FILTER),
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// @Param: ACCEL_FILTER
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// @DisplayName: Accel filter cutoff frequency
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// @Description: Filter cutoff frequency for accelerometers. This can be set to a lower value to try to cope with very high vibration levels in aircraft. This option takes effect on the next reboot. A value of zero means no filtering (not recommended!)
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// @Units: Hz
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// @Range: 0 127
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// @User: Advanced
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AP_GROUPINFO("ACCEL_FILTER", 19, AP_InertialSensor, _accel_filter_cutoff, DEFAULT_ACCEL_FILTER),
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// @Param: USE
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// @DisplayName: Use first IMU for attitude, velocity and position estimates
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// @Description: Use first IMU for attitude, velocity and position estimates
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// @Values: 0:Disabled,1:Enabled
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// @User: Advanced
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AP_GROUPINFO("USE", 20, AP_InertialSensor, _use[0], 1),
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// @Param: USE2
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// @DisplayName: Use second IMU for attitude, velocity and position estimates
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// @Description: Use second IMU for attitude, velocity and position estimates
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// @Values: 0:Disabled,1:Enabled
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// @User: Advanced
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AP_GROUPINFO("USE2", 21, AP_InertialSensor, _use[1], 1),
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// @Param: USE3
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// @DisplayName: Use third IMU for attitude, velocity and position estimates
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// @Description: Use third IMU for attitude, velocity and position estimates
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// @Values: 0:Disabled,1:Enabled
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// @User: Advanced
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AP_GROUPINFO("USE3", 22, AP_InertialSensor, _use[2], 0),
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// @Param: STILL_THRESH
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// @DisplayName: Stillness threshold for detecting if we are moving
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// @Description: Threshold to tolerate vibration to determine if vehicle is motionless. This depends on the frame type and if there is a constant vibration due to motors before launch or after landing. Total motionless is about 0.05. Suggested values: Planes/rover use 0.1, multirotors use 1, tradHeli uses 5
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// @Range: 0.05 50
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// @User: Advanced
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AP_GROUPINFO("STILL_THRESH", 23, AP_InertialSensor, _still_threshold, DEFAULT_STILL_THRESH),
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// @Param: GYR_CAL
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// @DisplayName: Gyro Calibration scheme
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// @Description: Conrols when automatic gyro calibration is performed
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// @Values: 0:Never, 1:Start-up only
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// @User: Advanced
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AP_GROUPINFO("GYR_CAL", 24, AP_InertialSensor, _gyro_cal_timing, 1),
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// @Param: TRIM_OPTION
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// @DisplayName: Accel cal trim option
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// @Description: Specifies how the accel cal routine determines the trims
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// @User: Advanced
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// @Values: 0:Don't adjust the trims,1:Assume first orientation was level,2:Assume ACC_BODYFIX is perfectly aligned to the vehicle
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AP_GROUPINFO("TRIM_OPTION", 25, AP_InertialSensor, _trim_option, 1),
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// @Param: ACC_BODYFIX
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// @DisplayName: Body-fixed accelerometer
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// @Description: The body-fixed accelerometer to be used for trim calculation
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// @User: Advanced
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// @Values: 1:IMU 1,2:IMU 2,3:IMU 3
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AP_GROUPINFO("ACC_BODYFIX", 26, AP_InertialSensor, _acc_body_aligned, 2),
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/*
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NOTE: parameter indexes have gaps above. When adding new
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parameters check for conflicts carefully
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*/
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AP_GROUPEND
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};
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AP_InertialSensor *AP_InertialSensor::_s_instance = nullptr;
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AP_InertialSensor::AP_InertialSensor() :
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_gyro_count(0),
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_accel_count(0),
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_backend_count(0),
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_accel(),
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_gyro(),
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_board_orientation(ROTATION_NONE),
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_primary_gyro(0),
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_primary_accel(0),
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_hil_mode(false),
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_calibrating(false),
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_log_raw_data(false),
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_backends_detected(false),
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_dataflash(NULL),
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_accel_cal_requires_reboot(false),
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_startup_error_counts_set(false),
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_startup_ms(0)
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{
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if (_s_instance) {
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AP_HAL::panic("Too many inertial sensors");
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}
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_s_instance = this;
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AP_Param::setup_object_defaults(this, var_info);
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for (uint8_t i=0; i<INS_MAX_BACKENDS; i++) {
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_backends[i] = NULL;
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}
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for (uint8_t i=0; i<INS_MAX_INSTANCES; i++) {
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_accel_error_count[i] = 0;
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_gyro_error_count[i] = 0;
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_gyro_cal_ok[i] = true;
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_accel_clip_count[i] = 0;
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_accel_max_abs_offsets[i] = 3.5f;
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_accel_raw_sample_rates[i] = 0;
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_gyro_raw_sample_rates[i] = 0;
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_delta_velocity_acc[i].zero();
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_delta_velocity_acc_dt[i] = 0;
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_delta_angle_acc[i].zero();
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_delta_angle_acc_dt[i] = 0;
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_last_delta_angle[i].zero();
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_last_raw_gyro[i].zero();
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_accel_startup_error_count[i] = 0;
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_gyro_startup_error_count[i] = 0;
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}
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for (uint8_t i=0; i<INS_VIBRATION_CHECK_INSTANCES; i++) {
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_accel_vibe_floor_filter[i].set_cutoff_frequency(AP_INERTIAL_SENSOR_ACCEL_VIBE_FLOOR_FILT_HZ);
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_accel_vibe_filter[i].set_cutoff_frequency(AP_INERTIAL_SENSOR_ACCEL_VIBE_FILT_HZ);
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}
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memset(_delta_velocity_valid,0,sizeof(_delta_velocity_valid));
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memset(_delta_angle_valid,0,sizeof(_delta_angle_valid));
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AP_AccelCal::register_client(this);
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}
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/*
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* Get the AP_InertialSensor singleton
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*/
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AP_InertialSensor *AP_InertialSensor::get_instance()
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{
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if (!_s_instance)
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_s_instance = new AP_InertialSensor();
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return _s_instance;
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}
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/*
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register a new gyro instance
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*/
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uint8_t AP_InertialSensor::register_gyro(uint16_t raw_sample_rate_hz)
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{
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if (_gyro_count == INS_MAX_INSTANCES) {
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AP_HAL::panic("Too many gyros");
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}
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_gyro_raw_sample_rates[_gyro_count] = raw_sample_rate_hz;
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return _gyro_count++;
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}
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/*
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register a new accel instance
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*/
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uint8_t AP_InertialSensor::register_accel(uint16_t raw_sample_rate_hz)
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{
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if (_accel_count == INS_MAX_INSTANCES) {
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AP_HAL::panic("Too many accels");
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}
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_accel_raw_sample_rates[_accel_count] = raw_sample_rate_hz;
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return _accel_count++;
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}
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/*
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* Start all backends for gyro and accel measurements. It automatically calls
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* detect_backends() if it has not been called already.
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*/
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void AP_InertialSensor::_start_backends()
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{
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detect_backends();
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for (uint8_t i = 0; i < _backend_count; i++) {
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_backends[i]->start();
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}
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if (_gyro_count == 0 || _accel_count == 0) {
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AP_HAL::panic("INS needs at least 1 gyro and 1 accel");
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}
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}
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/* Find the N instance of the backend that has already been successfully detected */
|
|
AP_InertialSensor_Backend *AP_InertialSensor::_find_backend(int16_t backend_id, uint8_t instance)
|
|
{
|
|
assert(_backends_detected);
|
|
uint8_t found = 0;
|
|
|
|
for (uint8_t i = 0; i < _backend_count; i++) {
|
|
int16_t id = _backends[i]->get_id();
|
|
|
|
if (id < 0 || id != backend_id)
|
|
continue;
|
|
|
|
if (instance == found) {
|
|
return _backends[i];
|
|
} else {
|
|
found++;
|
|
}
|
|
}
|
|
|
|
return nullptr;
|
|
}
|
|
|
|
void
|
|
AP_InertialSensor::init(uint16_t sample_rate)
|
|
{
|
|
// remember the sample rate
|
|
_sample_rate = sample_rate;
|
|
_loop_delta_t = 1.0f / sample_rate;
|
|
|
|
if (_gyro_count == 0 && _accel_count == 0) {
|
|
_start_backends();
|
|
}
|
|
|
|
// initialise accel scale if need be. This is needed as we can't
|
|
// give non-zero default values for vectors in AP_Param
|
|
for (uint8_t i=0; i<get_accel_count(); i++) {
|
|
if (_accel_scale[i].get().is_zero()) {
|
|
_accel_scale[i].set(Vector3f(1,1,1));
|
|
}
|
|
}
|
|
|
|
// calibrate gyros unless gyro calibration has been disabled
|
|
if (gyro_calibration_timing() != GYRO_CAL_NEVER) {
|
|
_init_gyro();
|
|
}
|
|
|
|
_sample_period_usec = 1000*1000UL / _sample_rate;
|
|
|
|
// establish the baseline time between samples
|
|
_delta_time = 0;
|
|
_next_sample_usec = 0;
|
|
_last_sample_usec = 0;
|
|
_have_sample = false;
|
|
}
|
|
|
|
void AP_InertialSensor::_add_backend(AP_InertialSensor_Backend *backend)
|
|
{
|
|
if (!backend)
|
|
return;
|
|
if (_backend_count == INS_MAX_BACKENDS)
|
|
AP_HAL::panic("Too many INS backends");
|
|
_backends[_backend_count++] = backend;
|
|
}
|
|
|
|
/*
|
|
detect available backends for this board
|
|
*/
|
|
void
|
|
AP_InertialSensor::detect_backends(void)
|
|
{
|
|
if (_backends_detected)
|
|
return;
|
|
|
|
_backends_detected = true;
|
|
|
|
if (_hil_mode) {
|
|
_add_backend(AP_InertialSensor_HIL::detect(*this));
|
|
return;
|
|
}
|
|
#if CONFIG_HAL_BOARD == HAL_BOARD_SITL
|
|
_add_backend(AP_InertialSensor_SITL::detect(*this));
|
|
#elif HAL_INS_DEFAULT == HAL_INS_HIL
|
|
_add_backend(AP_InertialSensor_HIL::detect(*this));
|
|
#elif HAL_INS_DEFAULT == HAL_INS_MPU60XX_SPI
|
|
_add_backend(AP_InertialSensor_MPU6000::probe(*this, hal.spi->get_device(HAL_INS_MPU60x0_NAME)));
|
|
#elif HAL_INS_DEFAULT == HAL_INS_MPU60XX_I2C
|
|
_add_backend(AP_InertialSensor_MPU6000::probe(*this, hal.i2c_mgr->get_device(HAL_INS_MPU60x0_I2C_BUS, HAL_INS_MPU60x0_I2C_ADDR)));
|
|
#elif HAL_INS_DEFAULT == HAL_INS_BH
|
|
_add_backend(AP_InertialSensor_MPU6000::probe(*this, hal.i2c_mgr->get_device(HAL_INS_MPU60x0_I2C_BUS, HAL_INS_MPU60x0_I2C_ADDR)));
|
|
_add_backend(AP_InertialSensor_MPU9250::probe(*this, hal.spi->get_device(HAL_INS_MPU9250_NAME)));
|
|
#elif HAL_INS_DEFAULT == HAL_INS_PX4 || HAL_INS_DEFAULT == HAL_INS_VRBRAIN
|
|
_add_backend(AP_InertialSensor_PX4::detect(*this));
|
|
#elif HAL_INS_DEFAULT == HAL_INS_MPU9250_SPI
|
|
_add_backend(AP_InertialSensor_MPU9250::probe(*this, hal.spi->get_device(HAL_INS_MPU9250_NAME)));
|
|
#elif HAL_INS_DEFAULT == HAL_INS_FLYMAPLE
|
|
_add_backend(AP_InertialSensor_Flymaple::detect(*this));
|
|
#elif HAL_INS_DEFAULT == HAL_INS_LSM9DS0
|
|
_add_backend(AP_InertialSensor_LSM9DS0::probe(*this,
|
|
hal.spi->get_device(HAL_INS_LSM9DS0_G_NAME),
|
|
hal.spi->get_device(HAL_INS_LSM9DS0_A_NAME)));
|
|
#elif HAL_INS_DEFAULT == HAL_INS_L3G4200D
|
|
_add_backend(AP_InertialSensor_L3G4200D::probe(*this, hal.i2c_mgr->get_device(HAL_INS_L3G4200D_I2C_BUS, HAL_INS_L3G4200D_I2C_ADDR)));
|
|
#elif HAL_INS_DEFAULT == HAL_INS_RASPILOT
|
|
_add_backend(AP_InertialSensor_MPU6000::probe(*this, hal.spi->get_device(HAL_INS_MPU60x0_NAME)));
|
|
_add_backend(AP_InertialSensor_LSM9DS0::probe(*this,
|
|
hal.spi->get_device(HAL_INS_LSM9DS0_G_NAME),
|
|
hal.spi->get_device(HAL_INS_LSM9DS0_A_NAME)));
|
|
#elif HAL_INS_DEFAULT == HAL_INS_MPU9250_I2C
|
|
_add_backend(AP_InertialSensor_MPU9250::probe(*this, hal.i2c_mgr->get_device(HAL_INS_MPU9250_I2C_BUS, HAL_INS_MPU9250_I2C_ADDR)));
|
|
#elif HAL_INS_DEFAULT == HAL_INS_QFLIGHT
|
|
_add_backend(AP_InertialSensor_QFLIGHT::detect(*this));
|
|
#elif HAL_INS_DEFAULT == HAL_INS_QURT
|
|
_add_backend(AP_InertialSensor_QURT::detect(*this));
|
|
#else
|
|
#error Unrecognised HAL_INS_TYPE setting
|
|
#endif
|
|
|
|
if (_backend_count == 0) {
|
|
AP_HAL::panic("No INS backends available");
|
|
}
|
|
|
|
// set the product ID to the ID of the first backend
|
|
_product_id.set(_backends[0]->product_id());
|
|
}
|
|
|
|
/*
|
|
_calculate_trim - calculates the x and y trim angles. The
|
|
accel_sample must be correctly scaled, offset and oriented for the
|
|
board
|
|
*/
|
|
bool AP_InertialSensor::_calculate_trim(const Vector3f &accel_sample, float& trim_roll, float& trim_pitch)
|
|
{
|
|
trim_pitch = atan2f(accel_sample.x, pythagorous2(accel_sample.y, accel_sample.z));
|
|
trim_roll = atan2f(-accel_sample.y, -accel_sample.z);
|
|
if (fabsf(trim_roll) > radians(10) ||
|
|
fabsf(trim_pitch) > radians(10)) {
|
|
hal.console->println("trim over maximum of 10 degrees");
|
|
return false;
|
|
}
|
|
hal.console->printf("Trim OK: roll=%.2f pitch=%.2f\n",
|
|
(double)degrees(trim_roll),
|
|
(double)degrees(trim_pitch));
|
|
return true;
|
|
}
|
|
|
|
void
|
|
AP_InertialSensor::init_gyro()
|
|
{
|
|
_init_gyro();
|
|
|
|
// save calibration
|
|
_save_parameters();
|
|
}
|
|
|
|
// accelerometer clipping reporting
|
|
uint32_t AP_InertialSensor::get_accel_clip_count(uint8_t instance) const
|
|
{
|
|
if (instance >= get_accel_count()) {
|
|
return 0;
|
|
}
|
|
return _accel_clip_count[instance];
|
|
}
|
|
|
|
// get_gyro_health_all - return true if all gyros are healthy
|
|
bool AP_InertialSensor::get_gyro_health_all(void) const
|
|
{
|
|
for (uint8_t i=0; i<get_gyro_count(); i++) {
|
|
if (!get_gyro_health(i)) {
|
|
return false;
|
|
}
|
|
}
|
|
// return true if we have at least one gyro
|
|
return (get_gyro_count() > 0);
|
|
}
|
|
|
|
// gyro_calibration_ok_all - returns true if all gyros were calibrated successfully
|
|
bool AP_InertialSensor::gyro_calibrated_ok_all() const
|
|
{
|
|
for (uint8_t i=0; i<get_gyro_count(); i++) {
|
|
if (!gyro_calibrated_ok(i)) {
|
|
return false;
|
|
}
|
|
}
|
|
return (get_gyro_count() > 0);
|
|
}
|
|
|
|
// return true if gyro instance should be used (must be healthy and have it's use parameter set to 1)
|
|
bool AP_InertialSensor::use_gyro(uint8_t instance) const
|
|
{
|
|
if (instance >= INS_MAX_INSTANCES) {
|
|
return false;
|
|
}
|
|
|
|
return (get_gyro_health(instance) && _use[instance]);
|
|
}
|
|
|
|
// get_accel_health_all - return true if all accels are healthy
|
|
bool AP_InertialSensor::get_accel_health_all(void) const
|
|
{
|
|
for (uint8_t i=0; i<get_accel_count(); i++) {
|
|
if (!get_accel_health(i)) {
|
|
return false;
|
|
}
|
|
}
|
|
// return true if we have at least one accel
|
|
return (get_accel_count() > 0);
|
|
}
|
|
|
|
|
|
/*
|
|
calculate the trim_roll and trim_pitch. This is used for redoing the
|
|
trim without needing a full accel cal
|
|
*/
|
|
bool AP_InertialSensor::calibrate_trim(float &trim_roll, float &trim_pitch)
|
|
{
|
|
Vector3f level_sample;
|
|
|
|
// exit immediately if calibration is already in progress
|
|
if (_calibrating) {
|
|
return false;
|
|
}
|
|
|
|
_calibrating = true;
|
|
|
|
const uint8_t update_dt_milliseconds = (uint8_t)(1000.0f/get_sample_rate()+0.5f);
|
|
|
|
// wait 100ms for ins filter to rise
|
|
for (uint8_t k=0; k<100/update_dt_milliseconds; k++) {
|
|
wait_for_sample();
|
|
update();
|
|
hal.scheduler->delay(update_dt_milliseconds);
|
|
}
|
|
|
|
uint32_t num_samples = 0;
|
|
while (num_samples < 400/update_dt_milliseconds) {
|
|
wait_for_sample();
|
|
// read samples from ins
|
|
update();
|
|
// capture sample
|
|
Vector3f samp;
|
|
samp = get_accel(0);
|
|
level_sample += samp;
|
|
if (!get_accel_health(0)) {
|
|
goto failed;
|
|
}
|
|
hal.scheduler->delay(update_dt_milliseconds);
|
|
num_samples++;
|
|
}
|
|
level_sample /= num_samples;
|
|
|
|
if (!_calculate_trim(level_sample, trim_roll, trim_pitch)) {
|
|
goto failed;
|
|
}
|
|
|
|
_calibrating = false;
|
|
return true;
|
|
|
|
failed:
|
|
_calibrating = false;
|
|
return false;
|
|
}
|
|
|
|
/*
|
|
check if the accelerometers are calibrated in 3D and that current number of accels matched number when calibrated
|
|
*/
|
|
bool AP_InertialSensor::accel_calibrated_ok_all() const
|
|
{
|
|
// calibration is not applicable for HIL mode
|
|
if (_hil_mode)
|
|
return true;
|
|
|
|
// check each accelerometer has offsets saved
|
|
for (uint8_t i=0; i<get_accel_count(); i++) {
|
|
// exactly 0.0 offset is extremely unlikely
|
|
if (_accel_offset[i].get().is_zero()) {
|
|
return false;
|
|
}
|
|
// exactly 1.0 scaling is extremely unlikely
|
|
const Vector3f &scaling = _accel_scale[i].get();
|
|
if (is_equal(scaling.x,1.0f) && is_equal(scaling.y,1.0f) && is_equal(scaling.z,1.0f)) {
|
|
return false;
|
|
}
|
|
// zero scaling also indicates not calibrated
|
|
if (_accel_scale[i].get().is_zero()) {
|
|
return false;
|
|
}
|
|
}
|
|
|
|
// check calibrated accels matches number of accels (no unused accels should have offsets or scaling)
|
|
if (get_accel_count() < INS_MAX_INSTANCES) {
|
|
for (uint8_t i=get_accel_count(); i<INS_MAX_INSTANCES; i++) {
|
|
const Vector3f &scaling = _accel_scale[i].get();
|
|
bool have_scaling = (!is_zero(scaling.x) && !is_equal(scaling.x,1.0f)) || (!is_zero(scaling.y) && !is_equal(scaling.y,1.0f)) || (!is_zero(scaling.z) && !is_equal(scaling.z,1.0f));
|
|
bool have_offsets = !_accel_offset[i].get().is_zero();
|
|
if (have_scaling || have_offsets) {
|
|
return false;
|
|
}
|
|
}
|
|
}
|
|
|
|
// if we got this far the accelerometers must have been calibrated
|
|
return true;
|
|
}
|
|
|
|
// return true if accel instance should be used (must be healthy and have it's use parameter set to 1)
|
|
bool AP_InertialSensor::use_accel(uint8_t instance) const
|
|
{
|
|
if (instance >= INS_MAX_INSTANCES) {
|
|
return false;
|
|
}
|
|
|
|
return (get_accel_health(instance) && _use[instance]);
|
|
}
|
|
|
|
void
|
|
AP_InertialSensor::_init_gyro()
|
|
{
|
|
uint8_t num_gyros = MIN(get_gyro_count(), INS_MAX_INSTANCES);
|
|
Vector3f last_average[INS_MAX_INSTANCES], best_avg[INS_MAX_INSTANCES];
|
|
Vector3f new_gyro_offset[INS_MAX_INSTANCES];
|
|
float best_diff[INS_MAX_INSTANCES];
|
|
bool converged[INS_MAX_INSTANCES];
|
|
|
|
// exit immediately if calibration is already in progress
|
|
if (_calibrating) {
|
|
return;
|
|
}
|
|
|
|
// record we are calibrating
|
|
_calibrating = true;
|
|
|
|
// flash leds to tell user to keep the IMU still
|
|
AP_Notify::flags.initialising = true;
|
|
|
|
// cold start
|
|
hal.console->print("Init Gyro");
|
|
|
|
/*
|
|
we do the gyro calibration with no board rotation. This avoids
|
|
having to rotate readings during the calibration
|
|
*/
|
|
enum Rotation saved_orientation = _board_orientation;
|
|
_board_orientation = ROTATION_NONE;
|
|
|
|
// remove existing gyro offsets
|
|
for (uint8_t k=0; k<num_gyros; k++) {
|
|
_gyro_offset[k].set(Vector3f());
|
|
new_gyro_offset[k].zero();
|
|
best_diff[k] = 0;
|
|
last_average[k].zero();
|
|
converged[k] = false;
|
|
}
|
|
|
|
for(int8_t c = 0; c < 5; c++) {
|
|
hal.scheduler->delay(5);
|
|
update();
|
|
}
|
|
|
|
// the strategy is to average 50 points over 0.5 seconds, then do it
|
|
// again and see if the 2nd average is within a small margin of
|
|
// the first
|
|
|
|
uint8_t num_converged = 0;
|
|
|
|
// we try to get a good calibration estimate for up to 30 seconds
|
|
// if the gyros are stable, we should get it in 1 second
|
|
for (int16_t j = 0; j <= 30*4 && num_converged < num_gyros; j++) {
|
|
Vector3f gyro_sum[INS_MAX_INSTANCES], gyro_avg[INS_MAX_INSTANCES], gyro_diff[INS_MAX_INSTANCES];
|
|
Vector3f accel_start;
|
|
float diff_norm[INS_MAX_INSTANCES];
|
|
uint8_t i;
|
|
|
|
memset(diff_norm, 0, sizeof(diff_norm));
|
|
|
|
hal.console->print("*");
|
|
|
|
for (uint8_t k=0; k<num_gyros; k++) {
|
|
gyro_sum[k].zero();
|
|
}
|
|
accel_start = get_accel(0);
|
|
for (i=0; i<50; i++) {
|
|
update();
|
|
for (uint8_t k=0; k<num_gyros; k++) {
|
|
gyro_sum[k] += get_gyro(k);
|
|
}
|
|
hal.scheduler->delay(5);
|
|
}
|
|
|
|
Vector3f accel_diff = get_accel(0) - accel_start;
|
|
if (accel_diff.length() > 0.2f) {
|
|
// the accelerometers changed during the gyro sum. Skip
|
|
// this sample. This copes with doing gyro cal on a
|
|
// steadily moving platform. The value 0.2 corresponds
|
|
// with around 5 degrees/second of rotation.
|
|
continue;
|
|
}
|
|
|
|
for (uint8_t k=0; k<num_gyros; k++) {
|
|
gyro_avg[k] = gyro_sum[k] / i;
|
|
gyro_diff[k] = last_average[k] - gyro_avg[k];
|
|
diff_norm[k] = gyro_diff[k].length();
|
|
}
|
|
|
|
for (uint8_t k=0; k<num_gyros; k++) {
|
|
if (j == 0) {
|
|
best_diff[k] = diff_norm[k];
|
|
best_avg[k] = gyro_avg[k];
|
|
} else if (gyro_diff[k].length() < ToRad(0.1f)) {
|
|
// we want the average to be within 0.1 bit, which is 0.04 degrees/s
|
|
last_average[k] = (gyro_avg[k] * 0.5f) + (last_average[k] * 0.5f);
|
|
if (!converged[k] || last_average[k].length() < new_gyro_offset[k].length()) {
|
|
new_gyro_offset[k] = last_average[k];
|
|
}
|
|
if (!converged[k]) {
|
|
converged[k] = true;
|
|
num_converged++;
|
|
}
|
|
} else if (diff_norm[k] < best_diff[k]) {
|
|
best_diff[k] = diff_norm[k];
|
|
best_avg[k] = (gyro_avg[k] * 0.5f) + (last_average[k] * 0.5f);
|
|
}
|
|
last_average[k] = gyro_avg[k];
|
|
}
|
|
}
|
|
|
|
// we've kept the user waiting long enough - use the best pair we
|
|
// found so far
|
|
hal.console->println();
|
|
for (uint8_t k=0; k<num_gyros; k++) {
|
|
if (!converged[k]) {
|
|
hal.console->printf("gyro[%u] did not converge: diff=%f dps\n",
|
|
(unsigned)k, (double)ToDeg(best_diff[k]));
|
|
_gyro_offset[k] = best_avg[k];
|
|
// flag calibration as failed for this gyro
|
|
_gyro_cal_ok[k] = false;
|
|
} else {
|
|
_gyro_cal_ok[k] = true;
|
|
_gyro_offset[k] = new_gyro_offset[k];
|
|
}
|
|
}
|
|
|
|
// restore orientation
|
|
_board_orientation = saved_orientation;
|
|
|
|
// record calibration complete
|
|
_calibrating = false;
|
|
|
|
// stop flashing leds
|
|
AP_Notify::flags.initialising = false;
|
|
}
|
|
|
|
// save parameters to eeprom
|
|
void AP_InertialSensor::_save_parameters()
|
|
{
|
|
_product_id.save();
|
|
for (uint8_t i=0; i<INS_MAX_INSTANCES; i++) {
|
|
_accel_scale[i].save();
|
|
_accel_offset[i].save();
|
|
_gyro_offset[i].save();
|
|
}
|
|
}
|
|
|
|
|
|
/*
|
|
update gyro and accel values from backends
|
|
*/
|
|
void AP_InertialSensor::update(void)
|
|
{
|
|
// during initialisation update() may be called without
|
|
// wait_for_sample(), and a wait is implied
|
|
wait_for_sample();
|
|
|
|
if (!_hil_mode) {
|
|
for (uint8_t i=0; i<INS_MAX_INSTANCES; i++) {
|
|
// mark sensors unhealthy and let update() in each backend
|
|
// mark them healthy via _publish_gyro() and
|
|
// _publish_accel()
|
|
_gyro_healthy[i] = false;
|
|
_accel_healthy[i] = false;
|
|
_delta_velocity_valid[i] = false;
|
|
_delta_angle_valid[i] = false;
|
|
}
|
|
for (uint8_t i=0; i<_backend_count; i++) {
|
|
_backends[i]->update();
|
|
}
|
|
|
|
// clear accumulators
|
|
for (uint8_t i = 0; i < INS_MAX_INSTANCES; i++) {
|
|
_delta_velocity_acc[i].zero();
|
|
_delta_velocity_acc_dt[i] = 0;
|
|
_delta_angle_acc[i].zero();
|
|
_delta_angle_acc_dt[i] = 0;
|
|
}
|
|
|
|
if (!_startup_error_counts_set) {
|
|
for (uint8_t i=0; i<INS_MAX_INSTANCES; i++) {
|
|
_accel_startup_error_count[i] = _accel_error_count[i];
|
|
_gyro_startup_error_count[i] = _gyro_error_count[i];
|
|
}
|
|
|
|
if (_startup_ms == 0) {
|
|
_startup_ms = AP_HAL::millis();
|
|
} else if (AP_HAL::millis()-_startup_ms > 2000) {
|
|
_startup_error_counts_set = true;
|
|
}
|
|
}
|
|
|
|
for (uint8_t i=0; i<INS_MAX_INSTANCES; i++) {
|
|
if (_accel_error_count[i] < _accel_startup_error_count[i]) {
|
|
_accel_startup_error_count[i] = _accel_error_count[i];
|
|
}
|
|
if (_gyro_error_count[i] < _gyro_startup_error_count[i]) {
|
|
_gyro_startup_error_count[i] = _gyro_error_count[i];
|
|
}
|
|
}
|
|
|
|
// adjust health status if a sensor has a non-zero error count
|
|
// but another sensor doesn't.
|
|
bool have_zero_accel_error_count = false;
|
|
bool have_zero_gyro_error_count = false;
|
|
for (uint8_t i=0; i<INS_MAX_INSTANCES; i++) {
|
|
if (_accel_healthy[i] && _accel_error_count[i] <= _accel_startup_error_count[i]) {
|
|
have_zero_accel_error_count = true;
|
|
}
|
|
if (_gyro_healthy[i] && _gyro_error_count[i] <= _gyro_startup_error_count[i]) {
|
|
have_zero_gyro_error_count = true;
|
|
}
|
|
}
|
|
|
|
for (uint8_t i=0; i<INS_MAX_INSTANCES; i++) {
|
|
if (_gyro_healthy[i] && _gyro_error_count[i] > _gyro_startup_error_count[i] && have_zero_gyro_error_count) {
|
|
// we prefer not to use a gyro that has had errors
|
|
_gyro_healthy[i] = false;
|
|
}
|
|
if (_accel_healthy[i] && _accel_error_count[i] > _accel_startup_error_count[i] && have_zero_accel_error_count) {
|
|
// we prefer not to use a accel that has had errors
|
|
_accel_healthy[i] = false;
|
|
}
|
|
}
|
|
|
|
// set primary to first healthy accel and gyro
|
|
for (uint8_t i=0; i<INS_MAX_INSTANCES; i++) {
|
|
if (_gyro_healthy[i] && _use[i]) {
|
|
_primary_gyro = i;
|
|
break;
|
|
}
|
|
}
|
|
for (uint8_t i=0; i<INS_MAX_INSTANCES; i++) {
|
|
if (_accel_healthy[i] && _use[i]) {
|
|
_primary_accel = i;
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
|
|
_have_sample = false;
|
|
}
|
|
|
|
/*
|
|
wait for a sample to be available. This is the function that
|
|
determines the timing of the main loop in ardupilot.
|
|
|
|
Ideally this function would return at exactly the rate given by the
|
|
sample_rate argument given to AP_InertialSensor::init().
|
|
|
|
The key output of this function is _delta_time, which is the time
|
|
over which the gyro and accel integration will happen for this
|
|
sample. We want that to be a constant time if possible, but if
|
|
delays occur we need to cope with them. The long term sum of
|
|
_delta_time should be exactly equal to the wall clock elapsed time
|
|
*/
|
|
void AP_InertialSensor::wait_for_sample(void)
|
|
{
|
|
if (_have_sample) {
|
|
// the user has called wait_for_sample() again without
|
|
// consuming the sample with update()
|
|
return;
|
|
}
|
|
|
|
uint32_t now = AP_HAL::micros();
|
|
|
|
if (_next_sample_usec == 0 && _delta_time <= 0) {
|
|
// this is the first call to wait_for_sample()
|
|
_last_sample_usec = now - _sample_period_usec;
|
|
_next_sample_usec = now + _sample_period_usec;
|
|
goto check_sample;
|
|
}
|
|
|
|
// see how long it is till the next sample is due
|
|
if (_next_sample_usec - now <=_sample_period_usec) {
|
|
// we're ahead on time, schedule next sample at expected period
|
|
uint32_t wait_usec = _next_sample_usec - now;
|
|
hal.scheduler->delay_microseconds_boost(wait_usec);
|
|
uint32_t now2 = AP_HAL::micros();
|
|
if (now2+100 < _next_sample_usec) {
|
|
timing_printf("shortsleep %u\n", (unsigned)(_next_sample_usec-now2));
|
|
}
|
|
if (now2 > _next_sample_usec+400) {
|
|
timing_printf("longsleep %u wait_usec=%u\n",
|
|
(unsigned)(now2-_next_sample_usec),
|
|
(unsigned)wait_usec);
|
|
}
|
|
_next_sample_usec += _sample_period_usec;
|
|
} else if (now - _next_sample_usec < _sample_period_usec/8) {
|
|
// we've overshot, but only by a small amount, keep on
|
|
// schedule with no delay
|
|
timing_printf("overshoot1 %u\n", (unsigned)(now-_next_sample_usec));
|
|
_next_sample_usec += _sample_period_usec;
|
|
} else {
|
|
// we've overshot by a larger amount, re-zero scheduling with
|
|
// no delay
|
|
timing_printf("overshoot2 %u\n", (unsigned)(now-_next_sample_usec));
|
|
_next_sample_usec = now + _sample_period_usec;
|
|
}
|
|
|
|
check_sample:
|
|
if (!_hil_mode) {
|
|
// we also wait for at least one backend to have a sample of both
|
|
// accel and gyro. This normally completes immediately.
|
|
bool gyro_available = false;
|
|
bool accel_available = false;
|
|
while (!gyro_available || !accel_available) {
|
|
for (uint8_t i=0; i<_backend_count; i++) {
|
|
_backends[i]->accumulate();
|
|
}
|
|
for (uint8_t i=0; i<INS_MAX_INSTANCES; i++) {
|
|
gyro_available |= _new_gyro_data[i];
|
|
accel_available |= _new_accel_data[i];
|
|
}
|
|
if (!gyro_available || !accel_available) {
|
|
hal.scheduler->delay_microseconds(100);
|
|
}
|
|
}
|
|
}
|
|
|
|
now = AP_HAL::micros();
|
|
if (_hil_mode && _hil.delta_time > 0) {
|
|
_delta_time = _hil.delta_time;
|
|
_hil.delta_time = 0;
|
|
} else {
|
|
_delta_time = (now - _last_sample_usec) * 1.0e-6f;
|
|
}
|
|
_last_sample_usec = now;
|
|
|
|
#if 0
|
|
{
|
|
static uint64_t delta_time_sum;
|
|
static uint16_t counter;
|
|
if (delta_time_sum == 0) {
|
|
delta_time_sum = _sample_period_usec;
|
|
}
|
|
delta_time_sum += _delta_time * 1.0e6f;
|
|
if (counter++ == 400) {
|
|
counter = 0;
|
|
hal.console->printf("now=%lu _delta_time_sum=%lu diff=%ld\n",
|
|
(unsigned long)now,
|
|
(unsigned long)delta_time_sum,
|
|
(long)(now - delta_time_sum));
|
|
}
|
|
}
|
|
#endif
|
|
|
|
_have_sample = true;
|
|
}
|
|
|
|
|
|
/*
|
|
get delta angles
|
|
*/
|
|
bool AP_InertialSensor::get_delta_angle(uint8_t i, Vector3f &delta_angle) const
|
|
{
|
|
if (_delta_angle_valid[i]) {
|
|
delta_angle = _delta_angle[i];
|
|
return true;
|
|
} else if (get_gyro_health(i)) {
|
|
// provide delta angle from raw gyro, so we use the same code
|
|
// at higher level
|
|
delta_angle = get_gyro(i) * get_delta_time();
|
|
return true;
|
|
}
|
|
return false;
|
|
}
|
|
|
|
/*
|
|
get delta velocity if available
|
|
*/
|
|
bool AP_InertialSensor::get_delta_velocity(uint8_t i, Vector3f &delta_velocity) const
|
|
{
|
|
if (_delta_velocity_valid[i]) {
|
|
delta_velocity = _delta_velocity[i];
|
|
return true;
|
|
} else if (get_accel_health(i)) {
|
|
delta_velocity = get_accel(i) * get_delta_time();
|
|
return true;
|
|
}
|
|
return false;
|
|
}
|
|
|
|
/*
|
|
return delta_time for the delta_velocity
|
|
*/
|
|
float AP_InertialSensor::get_delta_velocity_dt(uint8_t i) const
|
|
{
|
|
if (_delta_velocity_valid[i]) {
|
|
return _delta_velocity_dt[i];
|
|
}
|
|
return get_delta_time();
|
|
}
|
|
|
|
/*
|
|
return delta_time for the delta_angle
|
|
*/
|
|
float AP_InertialSensor::get_delta_angle_dt(uint8_t i) const
|
|
{
|
|
if (_delta_angle_valid[i]) {
|
|
return _delta_angle_dt[i];
|
|
}
|
|
return get_delta_time();
|
|
}
|
|
|
|
|
|
/*
|
|
support for setting accel and gyro vectors, for use by HIL
|
|
*/
|
|
void AP_InertialSensor::set_accel(uint8_t instance, const Vector3f &accel)
|
|
{
|
|
if (_accel_count == 0) {
|
|
// we haven't initialised yet
|
|
return;
|
|
}
|
|
if (instance < INS_MAX_INSTANCES) {
|
|
_accel[instance] = accel;
|
|
_accel_healthy[instance] = true;
|
|
if (_accel_count <= instance) {
|
|
_accel_count = instance+1;
|
|
}
|
|
if (!_accel_healthy[_primary_accel]) {
|
|
_primary_accel = instance;
|
|
}
|
|
}
|
|
}
|
|
|
|
void AP_InertialSensor::set_gyro(uint8_t instance, const Vector3f &gyro)
|
|
{
|
|
if (_gyro_count == 0) {
|
|
// we haven't initialised yet
|
|
return;
|
|
}
|
|
if (instance < INS_MAX_INSTANCES) {
|
|
_gyro[instance] = gyro;
|
|
_gyro_healthy[instance] = true;
|
|
if (_gyro_count <= instance) {
|
|
_gyro_count = instance+1;
|
|
_gyro_cal_ok[instance] = true;
|
|
}
|
|
if (!_accel_healthy[_primary_accel]) {
|
|
_primary_accel = instance;
|
|
}
|
|
}
|
|
}
|
|
|
|
/*
|
|
set delta time for next ins.update()
|
|
*/
|
|
void AP_InertialSensor::set_delta_time(float delta_time)
|
|
{
|
|
_hil.delta_time = delta_time;
|
|
}
|
|
|
|
/*
|
|
set delta velocity for next update
|
|
*/
|
|
void AP_InertialSensor::set_delta_velocity(uint8_t instance, float deltavt, const Vector3f &deltav)
|
|
{
|
|
if (instance < INS_MAX_INSTANCES) {
|
|
_delta_velocity_valid[instance] = true;
|
|
_delta_velocity[instance] = deltav;
|
|
_delta_velocity_dt[instance] = deltavt;
|
|
}
|
|
}
|
|
|
|
/*
|
|
set delta angle for next update
|
|
*/
|
|
void AP_InertialSensor::set_delta_angle(uint8_t instance, const Vector3f &deltaa)
|
|
{
|
|
if (instance < INS_MAX_INSTANCES) {
|
|
_delta_angle_valid[instance] = true;
|
|
_delta_angle[instance] = deltaa;
|
|
}
|
|
}
|
|
|
|
/*
|
|
* Get an AuxiliaryBus of N @instance of backend identified by @backend_id
|
|
*/
|
|
AuxiliaryBus *AP_InertialSensor::get_auxiliary_bus(int16_t backend_id, uint8_t instance)
|
|
{
|
|
detect_backends();
|
|
|
|
AP_InertialSensor_Backend *backend = _find_backend(backend_id, instance);
|
|
if (backend == NULL)
|
|
return NULL;
|
|
|
|
return backend->get_auxiliary_bus();
|
|
}
|
|
|
|
// calculate vibration levels and check for accelerometer clipping (called by a backends)
|
|
void AP_InertialSensor::calc_vibration_and_clipping(uint8_t instance, const Vector3f &accel, float dt)
|
|
{
|
|
// check for clipping
|
|
if (fabsf(accel.x) > AP_INERTIAL_SENSOR_ACCEL_CLIP_THRESH_MSS ||
|
|
fabsf(accel.y) > AP_INERTIAL_SENSOR_ACCEL_CLIP_THRESH_MSS ||
|
|
fabsf(accel.z) > AP_INERTIAL_SENSOR_ACCEL_CLIP_THRESH_MSS) {
|
|
_accel_clip_count[instance]++;
|
|
}
|
|
|
|
// calculate vibration levels
|
|
if (instance < INS_VIBRATION_CHECK_INSTANCES) {
|
|
// filter accel at 5hz
|
|
Vector3f accel_filt = _accel_vibe_floor_filter[instance].apply(accel, dt);
|
|
|
|
// calc difference from this sample and 5hz filtered value, square and filter at 2hz
|
|
Vector3f accel_diff = (accel - accel_filt);
|
|
accel_diff.x *= accel_diff.x;
|
|
accel_diff.y *= accel_diff.y;
|
|
accel_diff.z *= accel_diff.z;
|
|
_accel_vibe_filter[instance].apply(accel_diff, dt);
|
|
}
|
|
}
|
|
|
|
// peak hold detector for slower mechanisms to detect spikes
|
|
void AP_InertialSensor::set_accel_peak_hold(uint8_t instance, const Vector3f &accel)
|
|
{
|
|
if (instance != _primary_accel) {
|
|
// we only record for primary accel
|
|
return;
|
|
}
|
|
uint32_t now = AP_HAL::millis();
|
|
|
|
// negative x peak(min) hold detector
|
|
if (accel.x < _peak_hold_state.accel_peak_hold_neg_x ||
|
|
_peak_hold_state.accel_peak_hold_neg_x_age <= now) {
|
|
_peak_hold_state.accel_peak_hold_neg_x = accel.x;
|
|
_peak_hold_state.accel_peak_hold_neg_x_age = now + AP_INERTIAL_SENSOR_ACCEL_PEAK_DETECT_TIMEOUT_MS;
|
|
}
|
|
}
|
|
|
|
// retrieve latest calculated vibration levels
|
|
Vector3f AP_InertialSensor::get_vibration_levels(uint8_t instance) const
|
|
{
|
|
Vector3f vibe;
|
|
if (instance < INS_VIBRATION_CHECK_INSTANCES) {
|
|
vibe = _accel_vibe_filter[instance].get();
|
|
vibe.x = safe_sqrt(vibe.x);
|
|
vibe.y = safe_sqrt(vibe.y);
|
|
vibe.z = safe_sqrt(vibe.z);
|
|
}
|
|
return vibe;
|
|
}
|
|
|
|
// check for vibration movement. Return true if all axis show nearly zero movement
|
|
bool AP_InertialSensor::is_still()
|
|
{
|
|
Vector3f vibe = get_vibration_levels();
|
|
return (vibe.x < _still_threshold) &&
|
|
(vibe.y < _still_threshold) &&
|
|
(vibe.z < _still_threshold);
|
|
}
|
|
|
|
// initialise and register accel calibrator
|
|
// called during the startup of accel cal
|
|
void AP_InertialSensor::acal_init()
|
|
{
|
|
// NOTE: these objects are never deallocated because the pre-arm checks force a reboot
|
|
if (_acal == NULL) {
|
|
_acal = new AP_AccelCal;
|
|
}
|
|
if (_accel_calibrator == NULL) {
|
|
_accel_calibrator = new AccelCalibrator[INS_MAX_INSTANCES];
|
|
}
|
|
}
|
|
|
|
// update accel calibrator
|
|
void AP_InertialSensor::acal_update()
|
|
{
|
|
if(_acal == NULL) {
|
|
return;
|
|
}
|
|
|
|
_acal->update();
|
|
|
|
if (hal.util->get_soft_armed() && _acal->get_status() != ACCEL_CAL_NOT_STARTED) {
|
|
_acal->cancel();
|
|
}
|
|
}
|
|
|
|
/*
|
|
set and save accelerometer bias along with trim calculation
|
|
*/
|
|
void AP_InertialSensor::_acal_save_calibrations()
|
|
{
|
|
Vector3f bias, gain;
|
|
for (uint8_t i=0; i<_accel_count; i++) {
|
|
if (_accel_calibrator[i].get_status() == ACCEL_CAL_SUCCESS) {
|
|
_accel_calibrator[i].get_calibration(bias, gain);
|
|
_accel_offset[i].set_and_save(bias);
|
|
_accel_scale[i].set_and_save(gain);
|
|
} else {
|
|
_accel_offset[i].set_and_save(Vector3f(0,0,0));
|
|
_accel_scale[i].set_and_save(Vector3f(0,0,0));
|
|
}
|
|
}
|
|
|
|
Vector3f aligned_sample;
|
|
Vector3f misaligned_sample;
|
|
switch(_trim_option) {
|
|
case 0:
|
|
break;
|
|
case 1:
|
|
// The first level step of accel cal will be taken as gnd truth,
|
|
// i.e. trim will be set as per the output of primary accel from the level step
|
|
get_primary_accel_cal_sample_avg(0,aligned_sample);
|
|
_trim_pitch = atan2f(aligned_sample.x, pythagorous2(aligned_sample.y, aligned_sample.z));
|
|
_trim_roll = atan2f(-aligned_sample.y, -aligned_sample.z);
|
|
_new_trim = true;
|
|
break;
|
|
case 2:
|
|
// Reference accel is truth, in this scenario there is a reference accel
|
|
// as mentioned in ACC_BODY_ALIGNED
|
|
if (get_primary_accel_cal_sample_avg(0,misaligned_sample) && get_fixed_mount_accel_cal_sample(0,aligned_sample)) {
|
|
// determine trim from aligned sample vs misaligned sample
|
|
Vector3f cross = (misaligned_sample%aligned_sample);
|
|
float dot = (misaligned_sample*aligned_sample);
|
|
Quaternion q(safe_sqrt(sq(misaligned_sample.length())*sq(aligned_sample.length()))+dot, cross.x, cross.y, cross.z);
|
|
q.normalize();
|
|
_trim_roll = q.get_euler_roll();
|
|
_trim_pitch = q.get_euler_pitch();
|
|
_new_trim = true;
|
|
}
|
|
break;
|
|
default:
|
|
_new_trim = false;
|
|
/* no break */
|
|
}
|
|
|
|
if (fabsf(_trim_roll) > radians(10) ||
|
|
fabsf(_trim_pitch) > radians(10)) {
|
|
hal.console->print("ERR: Trim over maximum of 10 degrees!!");
|
|
_new_trim = false; //we have either got faulty level during acal or highly misaligned accelerometers
|
|
}
|
|
|
|
_accel_cal_requires_reboot = true;
|
|
}
|
|
|
|
void AP_InertialSensor::_acal_event_failure()
|
|
{
|
|
for (uint8_t i=0; i<_accel_count; i++) {
|
|
_accel_offset[i].set_and_save(Vector3f(0,0,0));
|
|
_accel_scale[i].set_and_save(Vector3f(0,0,0));
|
|
}
|
|
}
|
|
|
|
/*
|
|
Returns true if new valid trim values are available and passes them to reference vars
|
|
*/
|
|
bool AP_InertialSensor::get_new_trim(float& trim_roll, float &trim_pitch)
|
|
{
|
|
if (_new_trim) {
|
|
trim_roll = _trim_roll;
|
|
trim_pitch = _trim_pitch;
|
|
_new_trim = false;
|
|
return true;
|
|
}
|
|
return false;
|
|
}
|
|
|
|
/*
|
|
Returns body fixed accelerometer level data averaged during accel calibration's first step
|
|
*/
|
|
bool AP_InertialSensor::get_fixed_mount_accel_cal_sample(uint8_t sample_num, Vector3f& ret) const
|
|
{
|
|
if (_accel_count <= (_acc_body_aligned-1) || _accel_calibrator[2].get_status() != ACCEL_CAL_SUCCESS || sample_num>=_accel_calibrator[2].get_num_samples_collected()) {
|
|
return false;
|
|
}
|
|
_accel_calibrator[_acc_body_aligned-1].get_sample_corrected(sample_num, ret);
|
|
ret.rotate(_board_orientation);
|
|
return true;
|
|
}
|
|
|
|
/*
|
|
Returns Primary accelerometer level data averaged during accel calibration's first step
|
|
*/
|
|
bool AP_InertialSensor::get_primary_accel_cal_sample_avg(uint8_t sample_num, Vector3f& ret) const
|
|
{
|
|
uint8_t count = 0;
|
|
Vector3f avg = Vector3f(0,0,0);
|
|
for(uint8_t i=0; i<MIN(_accel_count,2); i++) {
|
|
if (_accel_calibrator[i].get_status() != ACCEL_CAL_SUCCESS || sample_num>=_accel_calibrator[i].get_num_samples_collected()) {
|
|
continue;
|
|
}
|
|
Vector3f sample;
|
|
_accel_calibrator[i].get_sample_corrected(sample_num, sample);
|
|
avg += sample;
|
|
count++;
|
|
}
|
|
if(count == 0) {
|
|
return false;
|
|
}
|
|
avg /= count;
|
|
ret = avg;
|
|
ret.rotate(_board_orientation);
|
|
return true;
|
|
}
|