mirror of https://github.com/ArduPilot/ardupilot
333 lines
11 KiB
C++
333 lines
11 KiB
C++
/// -*- tab-width: 4; Mode: C++; c-basic-offset: 4; indent-tabs-mode: nil -*-
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/*
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* AP_AHRS_MPU6000.cpp
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*
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* AHRS system using MPU6000's internal calculations
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*
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* Adapted for the general ArduPilot AHRS interface by Andrew Tridgell
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*
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* This library is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public License
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* as published by the Free Software Foundation; either version 2.1
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* of the License, or (at your option) any later version.
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*/
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#include <AP_AHRS.h>
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#include <AP_HAL.h>
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extern const AP_HAL::HAL& hal;
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// this is the speed in cm/s above which we first get a yaw lock with
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// the GPS
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#define GPS_SPEED_MIN 300
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// this is the speed in cm/s at which we stop using drift correction
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// from the GPS and wait for the ground speed to get above GPS_SPEED_MIN
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#define GPS_SPEED_RESET 100
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// the limit (in degrees/second) beyond which we stop integrating
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// omega_I. At larger spin rates the DCM PI controller can get 'dizzy'
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// which results in false gyro drift. See
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// http://gentlenav.googlecode.com/files/fastRotations.pdf
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#define SPIN_RATE_LIMIT 20
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void
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AP_AHRS_MPU6000::init()
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{
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// call parent init
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AP_AHRS::init();
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// suspend timer so interrupts on spi bus do not interfere with
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// communication to mpu6000
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hal.scheduler->suspend_timer_procs();
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_mpu6000->dmp_init();
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push_gains_to_dmp();
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_mpu6000->push_gyro_offsets_to_dmp();
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// restart timer
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hal.scheduler->resume_timer_procs();
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};
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// run a full MPU6000 update round
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void
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AP_AHRS_MPU6000::update(void)
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{
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float delta_t;
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// tell the IMU to grab some data.
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if( !_secondary_ahrs ) {
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_ins->update();
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}
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// ask the IMU how much time this sensor reading represents
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delta_t = _ins->get_delta_time();
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// convert the quaternions into a DCM matrix
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_mpu6000->quaternion.rotation_matrix(_dcm_matrix);
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// we run the gyro bias correction using gravity vector algorithm
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drift_correction(delta_t);
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// Calculate pitch, roll, yaw for stabilization and navigation
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euler_angles();
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// prepare earth frame accelerometer values for ArduCopter Inertial Navigation and accel-based throttle
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_accel_ef = _dcm_matrix * _ins->get_accel();
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}
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// wrap_PI - ensure an angle (expressed in radians) is between -PI and PI
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// TO-DO: should remove and replace with more standard functions
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float AP_AHRS_MPU6000::wrap_PI(float angle_in_radians)
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{
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if( angle_in_radians > PI ) {
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return(angle_in_radians - 2*PI);
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}
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else if( angle_in_radians < -PI ) {
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return(angle_in_radians + 2*PI);
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}
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else{
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return(angle_in_radians);
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}
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}
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// Function to correct the gyroX and gyroY bias (roll and pitch) using the
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// gravity vector from accelerometers We use the internal chip axis definition
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// to make the bias correction because both sensors outputs (gyros and accels)
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// are in chip axis definition
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void AP_AHRS_MPU6000::drift_correction( float deltat )
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{
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float errorRollPitch[2];
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// Get current values for gyros
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_accel_vector = _ins->get_accel();
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// We take the accelerometer readings and cumulate to average them and
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// obtain the gravity vector
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_accel_filtered += _accel_vector;
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_accel_filtered_samples++;
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_gyro_bias_from_gravity_counter++;
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// We make the bias calculation and correction at a lower rate
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// (GYRO_BIAS_FROM_GRAVITY_RATE)
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if( _gyro_bias_from_gravity_counter == GYRO_BIAS_FROM_GRAVITY_RATE ) {
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_gyro_bias_from_gravity_counter = 0;
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_accel_filtered /= _accel_filtered_samples; // average
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// Adjust ground reference : Accel Cross Gravity to obtain the error
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// between gravity from accels and gravity from attitude solution
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// errorRollPitch are in Accel LSB units
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errorRollPitch[0] = _accel_filtered.y * _dcm_matrix.c.z
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+ _accel_filtered.z * _dcm_matrix.c.x;
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errorRollPitch[1] = -_accel_filtered.z * _dcm_matrix.c.y
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- _accel_filtered.x * _dcm_matrix.c.z;
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errorRollPitch[0] *= deltat * 1000;
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errorRollPitch[1] *= deltat * 1000;
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// we limit to maximum gyro drift rate on each axis
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// 0.65*0.04 / 0.005 = 5.2
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float drift_limit = _mpu6000->get_gyro_drift_rate() * deltat
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/ _gyro_bias_from_gravity_gain;
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errorRollPitch[0] = constrain(errorRollPitch[0],
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-drift_limit, drift_limit);
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errorRollPitch[1] = constrain(errorRollPitch[1],
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-drift_limit, drift_limit);
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// We correct gyroX and gyroY bias using the error vector
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_gyro_bias[0] += errorRollPitch[0]*_gyro_bias_from_gravity_gain;
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_gyro_bias[1] += errorRollPitch[1]*_gyro_bias_from_gravity_gain;
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// TO-DO: fix this. Currently it makes the roll and pitch drift more!
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// If bias values are greater than 1 LSB we update the hardware offset
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// registers
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if( fabsf(_gyro_bias[0])>1.0f ) {
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//_mpu6000->set_gyro_offsets(-1*(int)_gyro_bias[0],0,0);
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//_mpu6000->set_gyro_offsets(0,-1*(int)_gyro_bias[0],0);
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//_gyro_bias[0] -= (int)_gyro_bias[0]; // we remove the part that
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// we have already corrected on registers...
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}
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if (fabsf(_gyro_bias[1])>1.0f) {
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//_mpu6000->set_gyro_offsets(-1*(int)_gyro_bias[1],0,0);
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//_gyro_bias[1] -= (int)_gyro_bias[1];
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}
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// Reset the accelerometer variables
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_accel_filtered.x = 0;
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_accel_filtered.y = 0;
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_accel_filtered.z = 0;
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_accel_filtered_samples=0;
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}
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// correct the yaw
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drift_correction_yaw();
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}
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/*
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* reset the DCM matrix and omega. Used on ground start, and on
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* extreme errors in the matrix
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*/
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void
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AP_AHRS_MPU6000::reset(bool recover_eulers)
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{
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// if the caller wants us to try to recover to the current
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// attitude then calculate the dcm matrix from the current
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// roll/pitch/yaw values
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if (recover_eulers && !isnan(roll) && !isnan(pitch) && !isnan(yaw)) {
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_dcm_matrix.from_euler(roll, pitch, yaw);
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} else {
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// otherwise make it flat
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_dcm_matrix.from_euler(0, 0, 0);
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}
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}
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// push offsets down from IMU to INS (required so MPU6000 can perform it's own
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// attitude estimation)
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void
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AP_AHRS_MPU6000::push_offsets_to_ins()
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{
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// push down gyro offsets (TO-DO: why are x and y offsets are reversed?!)
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_mpu6000->push_gyro_offsets_to_dmp();
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// push down accelerometer offsets
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// (TO-DO: why are x and y offsets are reversed?!)
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_mpu6000->push_accel_offsets_to_dmp();
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}
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void
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AP_AHRS_MPU6000::push_gains_to_dmp()
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{
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uint8_t gain;
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if( _kp.get() >= 1.0f ) {
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gain = 0xFF;
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}else if( _kp.get() <= 0.0f ) {
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gain = 0x00;
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}else{
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gain = (uint8_t)((float)0xFF * _kp.get());
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}
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_mpu6000->dmp_set_sensor_fusion_accel_gain(gain);
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}
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// produce a yaw error value. The returned value is proportional
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// to sin() of the current heading error in earth frame
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float
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AP_AHRS_MPU6000::yaw_error_compass(void)
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{
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Vector3f mag = Vector3f(_compass->mag_x, _compass->mag_y, _compass->mag_z);
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// get the mag vector in the earth frame
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Vector3f rb = _dcm_matrix * mag;
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rb.normalize();
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if (rb.is_inf()) {
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// not a valid vector
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return 0.0;
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}
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// get the earths magnetic field (only X and Y components needed)
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Vector3f mag_earth = Vector3f(cosf(_compass->get_declination()),
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sinf(_compass->get_declination()), 0);
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// calculate the error term in earth frame
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Vector3f error = rb % mag_earth;
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return error.z;
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}
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//
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// drift_correction_yaw - yaw drift correction using the compass
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// we have no way to update the dmp with it's actual heading from our
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// compass instead we use the yaw_corrected variable to hold what we think
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// is the real heading we also record what the dmp said it's last heading
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// was in the yaw_last_uncorrected variable so that on the next iteration we
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// can add the change in yaw to our estimate
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//
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void
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AP_AHRS_MPU6000::drift_correction_yaw(void)
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{
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static float yaw_corrected = HEADING_UNKNOWN;
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static float last_dmp_yaw = HEADING_UNKNOWN;
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// roll pitch and yaw values from dmp
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float dmp_roll, dmp_pitch, dmp_yaw;
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// change in yaw according to dmp
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float yaw_delta;
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// difference between heading and corrected yaw
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float yaw_error;
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static float heading;
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// get uncorrected yaw values from dmp
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_mpu6000->quaternion.to_euler(&dmp_roll, &dmp_pitch, &dmp_yaw);
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// initialise headings on first iteration
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if( yaw_corrected == HEADING_UNKNOWN ) {
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yaw_corrected = dmp_yaw;
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last_dmp_yaw = dmp_yaw;
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}
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// change in yaw according to dmp
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yaw_delta = wrap_PI(dmp_yaw - last_dmp_yaw);
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yaw_corrected = wrap_PI(yaw_corrected + yaw_delta);
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last_dmp_yaw = dmp_yaw;
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// rebuild dcm matrix
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_dcm_matrix.from_euler(dmp_roll, dmp_pitch, yaw_corrected);
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// if we have new compass data
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if(_compass && _compass->use_for_yaw() ) {
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if(_compass->last_update != _compass_last_update) {
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_compass_last_update = _compass->last_update;
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heading = _compass->calculate_heading(_dcm_matrix);
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// if this is the first good compass reading then set yaw to this heading
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if( !_have_initial_yaw ) {
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_have_initial_yaw = true;
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yaw_corrected = wrap_PI(heading);
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}
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// yaw correction based on compass
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//yaw_error = yaw_error_compass();
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yaw_error = wrap_PI(heading - yaw_corrected);
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// shift the corrected yaw towards the compass heading a bit
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yaw_corrected += wrap_PI(yaw_error * _kp_yaw.get() * 0.1f);
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// rebuild the dcm matrix yet again
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_dcm_matrix.from_euler(dmp_roll, dmp_pitch, yaw_corrected);
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}
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}
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}
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// calculate the euler angles which will be used for high level
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// navigation control
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void
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AP_AHRS_MPU6000::euler_angles(void)
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{
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_dcm_matrix.to_euler(&roll, &pitch, &yaw);
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// cannot use this because the quaternion is not correct for yaw drift
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//quaternion.to_euler(&roll, &pitch, &yaw);
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roll_sensor = degrees(roll) * 100;
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pitch_sensor = degrees(pitch) * 100;
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yaw_sensor = degrees(yaw) * 100;
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if (yaw_sensor < 0)
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yaw_sensor += 36000;
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}
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/* reporting of DCM state for MAVLink */
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// average error_roll_pitch since last call
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float AP_AHRS_MPU6000::get_error_rp(void)
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{
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// not yet supported with DMP
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return 0.0;
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}
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// average error_yaw since last call
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float AP_AHRS_MPU6000::get_error_yaw(void)
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{
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// not yet supported with DMP
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return 0.0;
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}
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