/// -*- tab-width: 4; Mode: C++; c-basic-offset: 4; indent-tabs-mode: nil -*- #include #include "AP_InertialSensor.h" #include "AP_InertialSensor_Backend.h" #include const extern AP_HAL::HAL& hal; AP_InertialSensor_Backend::AP_InertialSensor_Backend(AP_InertialSensor &imu) : _imu(imu), _product_id(AP_PRODUCT_ID_NONE) {} void AP_InertialSensor_Backend::_rotate_and_correct_accel(uint8_t instance, Vector3f &accel) { /* accel calibration is always done in sensor frame with this version of the code. That means we apply the rotation after the offsets and scaling. */ // apply offsets accel -= _imu._accel_offset[instance]; // apply scaling const Vector3f &accel_scale = _imu._accel_scale[instance].get(); accel.x *= accel_scale.x; accel.y *= accel_scale.y; accel.z *= accel_scale.z; // rotate to body frame accel.rotate(_imu._board_orientation); } void AP_InertialSensor_Backend::_rotate_and_correct_gyro(uint8_t instance, Vector3f &gyro) { // gyro calibration is always assumed to have been done in sensor frame gyro -= _imu._gyro_offset[instance]; gyro.rotate(_imu._board_orientation); } /* rotate gyro vector and add the gyro offset */ void AP_InertialSensor_Backend::_publish_gyro(uint8_t instance, const Vector3f &gyro) { _imu._gyro[instance] = gyro; _imu._gyro_healthy[instance] = true; if (_imu._gyro_raw_sample_rates[instance] <= 0) { return; } // publish delta angle _imu._delta_angle[instance] = _imu._delta_angle_acc[instance]; _imu._delta_angle_valid[instance] = true; } void AP_InertialSensor_Backend::_notify_new_gyro_raw_sample(uint8_t instance, const Vector3f &gyro, uint64_t sample_us) { float dt; if (_imu._gyro_raw_sample_rates[instance] <= 0) { return; } dt = 1.0f / _imu._gyro_raw_sample_rates[instance]; // compute delta angle Vector3f delta_angle = (gyro + _imu._last_raw_gyro[instance]) * 0.5f * dt; // compute coning correction // see page 26 of: // Tian et al (2010) Three-loop Integration of GPS and Strapdown INS with Coning and Sculling Compensation // Available: http://www.sage.unsw.edu.au/snap/publications/tian_etal2010b.pdf // see also examples/coning.py Vector3f delta_coning = (_imu._delta_angle_acc[instance] + _imu._last_delta_angle[instance] * (1.0f / 6.0f)); delta_coning = delta_coning % delta_angle; delta_coning *= 0.5f; // integrate delta angle accumulator // the angles and coning corrections are accumulated separately in the // referenced paper, but in simulation little difference was found between // integrating together and integrating separately (see examples/coning.py) _imu._delta_angle_acc[instance] += delta_angle + delta_coning; // save previous delta angle for coning correction _imu._last_delta_angle[instance] = delta_angle; _imu._last_raw_gyro[instance] = gyro; _imu._gyro_filtered[instance] = _imu._gyro_filter[instance].apply(gyro); if (_imu._gyro_filtered[instance].is_nan() || _imu._gyro_filtered[instance].is_inf()) { _imu._gyro_filter[instance].reset(); } _imu._new_gyro_data[instance] = true; DataFlash_Class *dataflash = get_dataflash(); if (dataflash != NULL) { uint64_t now = AP_HAL::micros64(); struct log_GYRO pkt = { LOG_PACKET_HEADER_INIT((uint8_t)(LOG_GYR1_MSG+instance)), time_us : now, sample_us : sample_us?sample_us:now, GyrX : gyro.x, GyrY : gyro.y, GyrZ : gyro.z }; dataflash->WriteBlock(&pkt, sizeof(pkt)); } } /* rotate accel vector, scale and add the accel offset */ void AP_InertialSensor_Backend::_publish_accel(uint8_t instance, const Vector3f &accel) { _imu._accel[instance] = accel; _imu._accel_healthy[instance] = true; if (_imu._accel_raw_sample_rates[instance] <= 0) { return; } // publish delta velocity _imu._delta_velocity[instance] = _imu._delta_velocity_acc[instance]; _imu._delta_velocity_dt[instance] = _imu._delta_velocity_acc_dt[instance]; _imu._delta_velocity_valid[instance] = true; if (_imu._accel_calibrator != NULL && _imu._accel_calibrator[instance].get_status() == ACCEL_CAL_COLLECTING_SAMPLE) { Vector3f cal_sample = _imu._delta_velocity[instance]; //remove rotation cal_sample.rotate_inverse(_imu._board_orientation); // remove scale factors const Vector3f &accel_scale = _imu._accel_scale[instance].get(); cal_sample.x /= accel_scale.x; cal_sample.y /= accel_scale.y; cal_sample.z /= accel_scale.z; //remove offsets cal_sample += _imu._accel_offset[instance].get() * _imu._delta_velocity_dt[instance] ; _imu._accel_calibrator[instance].new_sample(cal_sample, _imu._delta_velocity_dt[instance]); } } void AP_InertialSensor_Backend::_notify_new_accel_raw_sample(uint8_t instance, const Vector3f &accel, uint64_t sample_us) { float dt; if (_imu._accel_raw_sample_rates[instance] <= 0) { return; } dt = 1.0f / _imu._accel_raw_sample_rates[instance]; _imu.calc_vibration_and_clipping(instance, accel, dt); // delta velocity _imu._delta_velocity_acc[instance] += accel * dt; _imu._delta_velocity_acc_dt[instance] += dt; _imu._accel_filtered[instance] = _imu._accel_filter[instance].apply(accel); if (_imu._accel_filtered[instance].is_nan() || _imu._accel_filtered[instance].is_inf()) { _imu._accel_filter[instance].reset(); } _imu.set_accel_peak_hold(instance, _imu._accel_filtered[instance]); _imu._new_accel_data[instance] = true; DataFlash_Class *dataflash = get_dataflash(); if (dataflash != NULL) { uint64_t now = AP_HAL::micros64(); struct log_ACCEL pkt = { LOG_PACKET_HEADER_INIT((uint8_t)(LOG_ACC1_MSG+instance)), time_us : now, sample_us : sample_us?sample_us:now, AccX : accel.x, AccY : accel.y, AccZ : accel.z }; dataflash->WriteBlock(&pkt, sizeof(pkt)); } } void AP_InertialSensor_Backend::_set_accel_max_abs_offset(uint8_t instance, float max_offset) { _imu._accel_max_abs_offsets[instance] = max_offset; } // set accelerometer error_count void AP_InertialSensor_Backend::_set_accel_error_count(uint8_t instance, uint32_t error_count) { _imu._accel_error_count[instance] = error_count; } // set gyro error_count void AP_InertialSensor_Backend::_set_gyro_error_count(uint8_t instance, uint32_t error_count) { _imu._gyro_error_count[instance] = error_count; } // return the requested sample rate in Hz uint16_t AP_InertialSensor_Backend::get_sample_rate_hz(void) const { // enum can be directly cast to Hz return (uint16_t)_imu._sample_rate; } /* publish a temperature value for an instance */ void AP_InertialSensor_Backend::_publish_temperature(uint8_t instance, float temperature) { _imu._temperature[instance] = temperature; } /* common gyro update function for all backends */ void AP_InertialSensor_Backend::update_gyro(uint8_t instance) { hal.scheduler->suspend_timer_procs(); if (_imu._new_gyro_data[instance]) { _publish_gyro(instance, _imu._gyro_filtered[instance]); _imu._new_gyro_data[instance] = false; } // possibly update filter frequency if (_last_gyro_filter_hz[instance] != _gyro_filter_cutoff()) { _imu._gyro_filter[instance].set_cutoff_frequency(_gyro_raw_sample_rate(instance), _gyro_filter_cutoff()); _last_gyro_filter_hz[instance] = _gyro_filter_cutoff(); } hal.scheduler->resume_timer_procs(); } /* common accel update function for all backends */ void AP_InertialSensor_Backend::update_accel(uint8_t instance) { hal.scheduler->suspend_timer_procs(); if (_imu._new_accel_data[instance]) { _publish_accel(instance, _imu._accel_filtered[instance]); _imu._new_accel_data[instance] = false; } // possibly update filter frequency if (_last_accel_filter_hz[instance] != _accel_filter_cutoff()) { _imu._accel_filter[instance].set_cutoff_frequency(_accel_raw_sample_rate(instance), _accel_filter_cutoff()); _last_accel_filter_hz[instance] = _accel_filter_cutoff(); } hal.scheduler->resume_timer_procs(); }