mirror of https://github.com/ArduPilot/ardupilot
320 lines
10 KiB
C++
320 lines
10 KiB
C++
/*
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AP_AHRS_MPU6000.cpp
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AHRS system using MPU6000's internal calculations
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Adapted for the general ArduPilot AHRS interface by Andrew Tridgell
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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 <FastSerial.h>
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#include <AP_AHRS.h>
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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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// table of user settable parameters
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const AP_Param::GroupInfo AP_AHRS_MPU6000::var_info[] PROGMEM = {
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// @Param: AHRS_YAW_P
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// @DisplayName: Yaw P
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// @Description: This controls the weight the compass has on the overall heading
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// @Range: 0 .4
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// @Increment: .01
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AP_GROUPINFO("YAW_P", 0, AP_AHRS_MPU6000, _kp_yaw),
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// @Param: AHRS_RP_P
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// @DisplayName: AHRS RP_P
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// @Description: This controls how fast the accelerometers correct the attitude
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// @Range: 0 .4
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// @Increment: .01
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AP_GROUPINFO("RP_P", 1, AP_AHRS_MPU6000, _kp),
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AP_GROUPEND
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};
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void
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AP_AHRS_MPU6000::init()
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{
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_mpu6000->dmp_init();
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push_gains_to_dmp();
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push_offsets_to_ins();
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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. is this necessary?
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_imu->update();
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// ask the IMU how much time this sensor reading represents
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delta_t = _imu->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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}
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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 > M_PI ){
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return(angle_in_radians - 2*M_PI);
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}
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else if( angle_in_radians < -M_PI ){
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return(angle_in_radians + 2*M_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 gravity vector from accelerometers
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// We use the internal chip axis definition 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 = _imu->get_accel();
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// We take the accelerometer readings and cumulate to average them and 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 (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 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 + _accel_filtered.z * _dcm_matrix.c.x;
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errorRollPitch[1] = -_accel_filtered.z * _dcm_matrix.c.y - _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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float drift_limit = _mpu6000->get_gyro_drift_rate() * deltat / _gyro_bias_from_gravity_gain; //0.65*0.04 / 0.005 = 5.2
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errorRollPitch[0] = constrain(errorRollPitch[0], -drift_limit, drift_limit);
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errorRollPitch[1] = constrain(errorRollPitch[1], -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 registers
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if( fabs(_gyro_bias[0])>1.0 ){
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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 we have already corrected on registers...
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}
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if (fabs(_gyro_bias[1])>1.0){
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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 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->set_gyro_offsets_scaled(((AP_IMU_INS*)_imu)->gy(),((AP_IMU_INS*)_imu)->gx(),((AP_IMU_INS*)_imu)->gz());
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((AP_IMU_INS*)_imu)->gx(0);
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((AP_IMU_INS*)_imu)->gy(0);
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((AP_IMU_INS*)_imu)->gz(0);
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// push down accelerometer offsets (TO-DO: why are x and y offsets are reversed?!)
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_mpu6000->set_accel_offsets_scaled(((AP_IMU_INS*)_imu)->ay(), ((AP_IMU_INS*)_imu)->ax(), ((AP_IMU_INS*)_imu)->az());
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//((AP_IMU_INS*)_imu)->ax(0);
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//((AP_IMU_INS*)_imu)->ay(0);
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//((AP_IMU_INS*)_imu)->az(0);
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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() >= 1.0 ) {
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gain = 0xFF;
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}else if( _kp.get() <= 0.0 ) {
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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(cos(_compass->get_declination()),
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sin(_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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//
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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_last_uncorrected = HEADING_UNKNOWN;
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static float yaw_corrected = HEADING_UNKNOWN;
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float yaw_delta = 0;
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bool new_value = false;
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float yaw_error;
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static float heading;
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// we assume the DCM matrix is completely uncorrect for yaw
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// retrieve how much heading has changed according to non-corrected dcm
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if( yaw_last_uncorrected != HEADING_UNKNOWN ) {
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yaw_delta = wrap_PI(yaw - yaw_last_uncorrected); // the change in heading according to the gyros only since the last interation
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yaw_last_uncorrected = yaw;
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}
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// initialise yaw_corrected (if necessary)
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if( yaw_corrected != HEADING_UNKNOWN ) {
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yaw_corrected = yaw;
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}else{
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yaw_corrected = wrap_PI(yaw_corrected + yaw_delta); // best guess of current yaw is previous iterations corrected yaw + yaw change from gyro
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_dcm_matrix.from_euler(roll, pitch, yaw_corrected); // rebuild dcm matrix with best guess at current yaw
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}
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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( !_have_initial_yaw ) {
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yaw_corrected = heading;
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_have_initial_yaw = true;
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_dcm_matrix.from_euler(roll, pitch, yaw_corrected); // rebuild dcm matrix with best guess at current yaw
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}
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new_value = true;
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}
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}
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// perform the yaw correction
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if( new_value ){
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yaw_error = yaw_error_compass();
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// the yaw error is a vector in earth frame
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//Vector3f error = Vector3f(0,0, yaw_error);
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// convert the error vector to body frame
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//error = _dcm_matrix.mul_transpose(error);
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// Update the differential component to reduce the error (it<69>s like a P control)
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yaw_corrected += wrap_PI(yaw_error * _kp_yaw.get()); // probably completely wrong
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// rebuild the dcm matrix yet again
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_dcm_matrix.from_euler(roll, pitch, yaw_corrected);
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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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//quaternion.to_euler(&roll, &pitch, &yaw); // cannot use this because the quaternion is not correct for yaw drift
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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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