Files
bizhang_-obav/src/modules/sensors/vehicle_angular_velocity/VehicleAngularVelocity.cpp
Daniel Agar 7038cb8518 sensors: angular_velocity always get gyro rate from vehicle_imu_status
- sensor rate is used for control data low pass and notch filters
2020-12-16 10:12:27 -05:00

291 lines
9.5 KiB
C++

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#include "VehicleAngularVelocity.hpp"
#include <px4_platform_common/log.h>
#include <uORB/topics/vehicle_imu_status.h>
using namespace matrix;
using namespace time_literals;
namespace sensors
{
VehicleAngularVelocity::VehicleAngularVelocity() :
ModuleParams(nullptr),
ScheduledWorkItem(MODULE_NAME, px4::wq_configurations::rate_ctrl)
{
CheckAndUpdateFilters();
}
VehicleAngularVelocity::~VehicleAngularVelocity()
{
Stop();
}
bool VehicleAngularVelocity::Start()
{
// force initial updates
ParametersUpdate(true);
// sensor_selection needed to change the active sensor if the primary stops updating
if (!_sensor_selection_sub.registerCallback()) {
PX4_ERR("sensor_selection callback registration failed");
return false;
}
if (!SensorSelectionUpdate(true)) {
_sensor_sub.registerCallback();
}
return true;
}
void VehicleAngularVelocity::Stop()
{
// clear all registered callbacks
_sensor_sub.unregisterCallback();
_sensor_selection_sub.unregisterCallback();
Deinit();
}
void VehicleAngularVelocity::CheckAndUpdateFilters()
{
bool sample_rate_changed = false;
// get sample rate from vehicle_imu_status publication
for (uint8_t i = 0; i < MAX_SENSOR_COUNT; i++) {
uORB::SubscriptionData<vehicle_imu_status_s> imu_status{ORB_ID(vehicle_imu_status), i};
const float sample_rate_hz = imu_status.get().gyro_rate_hz;
if ((imu_status.get().gyro_device_id != 0) && (imu_status.get().gyro_device_id == _calibration.device_id())
&& PX4_ISFINITE(sample_rate_hz) && (sample_rate_hz > 0)) {
// check if sample rate error is greater than 1%
if ((fabsf(sample_rate_hz - _filter_sample_rate) / _filter_sample_rate) > 0.01f) {
PX4_DEBUG("sample rate changed: %.3f Hz -> %.3f Hz", (double)_filter_sample_rate, (double)sample_rate_hz);
_filter_sample_rate = sample_rate_hz;
sample_rate_changed = true;
break;
}
}
}
// update software low pass filters
if (sample_rate_changed || (fabsf(_lp_filter_velocity.get_cutoff_freq() - _param_imu_gyro_cutoff.get()) > 0.1f)) {
_lp_filter_velocity.set_cutoff_frequency(_filter_sample_rate, _param_imu_gyro_cutoff.get());
_lp_filter_velocity.reset(_angular_velocity_prev);
}
if (sample_rate_changed
|| (fabsf(_notch_filter_velocity.getNotchFreq() - _param_imu_gyro_nf_freq.get()) > 0.1f)
|| (fabsf(_notch_filter_velocity.getBandwidth() - _param_imu_gyro_nf_bw.get()) > 0.1f)
) {
_notch_filter_velocity.setParameters(_filter_sample_rate, _param_imu_gyro_nf_freq.get(), _param_imu_gyro_nf_bw.get());
_notch_filter_velocity.reset(_angular_velocity_prev);
}
if (sample_rate_changed || (fabsf(_lp_filter_acceleration.get_cutoff_freq() - _param_imu_dgyro_cutoff.get()) > 0.1f)) {
_lp_filter_acceleration.set_cutoff_frequency(_filter_sample_rate, _param_imu_dgyro_cutoff.get());
_lp_filter_acceleration.reset(_angular_acceleration_prev);
}
}
void VehicleAngularVelocity::SensorBiasUpdate(bool force)
{
// find corresponding estimated sensor bias
if (_estimator_selector_status_sub.updated()) {
estimator_selector_status_s estimator_selector_status;
if (_estimator_selector_status_sub.copy(&estimator_selector_status)) {
_estimator_sensor_bias_sub.ChangeInstance(estimator_selector_status.primary_instance);
}
}
if (_estimator_sensor_bias_sub.updated() || force) {
estimator_sensor_bias_s bias;
if (_estimator_sensor_bias_sub.copy(&bias)) {
if (bias.gyro_device_id == _calibration.device_id()) {
_bias = Vector3f{bias.gyro_bias};
} else {
_bias.zero();
}
}
}
}
bool VehicleAngularVelocity::SensorSelectionUpdate(bool force)
{
if (_sensor_selection_sub.updated() || (_calibration.device_id() == 0) || force) {
sensor_selection_s sensor_selection{};
_sensor_selection_sub.copy(&sensor_selection);
if ((sensor_selection.gyro_device_id != 0) && (_calibration.device_id() != sensor_selection.gyro_device_id)) {
for (uint8_t i = 0; i < MAX_SENSOR_COUNT; i++) {
uORB::SubscriptionData<sensor_gyro_s> sensor_gyro_sub{ORB_ID(sensor_gyro), i};
const uint32_t device_id = sensor_gyro_sub.get().device_id;
if ((device_id != 0) && (device_id == sensor_selection.gyro_device_id)) {
if (_sensor_sub.ChangeInstance(i) && _sensor_sub.registerCallback()) {
PX4_DEBUG("selected sensor changed %d -> %d", _calibration.device_id(), device_id);
// clear bias and corrections
_bias.zero();
_calibration.set_device_id(device_id);
CheckAndUpdateFilters();
return true;
}
}
}
PX4_ERR("unable to find or subscribe to selected sensor (%d)", sensor_selection.gyro_device_id);
_calibration.set_device_id(0);
}
}
return false;
}
void VehicleAngularVelocity::ParametersUpdate(bool force)
{
// Check if parameters have changed
if (_params_sub.updated() || force) {
// clear update
parameter_update_s param_update;
_params_sub.copy(&param_update);
updateParams();
_calibration.ParametersUpdate();
CheckAndUpdateFilters();
}
}
void VehicleAngularVelocity::Run()
{
// backup schedule
ScheduleDelayed(10_ms);
// update corrections first to set _selected_sensor
bool selection_updated = SensorSelectionUpdate();
_calibration.SensorCorrectionsUpdate(selection_updated);
SensorBiasUpdate(selection_updated);
ParametersUpdate();
// process all outstanding messages
sensor_gyro_s sensor_data;
while (_sensor_sub.update(&sensor_data)) {
// Guard against too small (< 0.2ms) and too large (> 20ms) dt's.
const float dt = math::constrain(((sensor_data.timestamp_sample - _timestamp_sample_prev) / 1e6f), 0.0002f, 0.02f);
_timestamp_sample_prev = sensor_data.timestamp_sample;
// get the sensor data and correct for thermal errors (apply offsets and scale)
const Vector3f val{sensor_data.x, sensor_data.y, sensor_data.z};
// correct for in-run bias errors
const Vector3f angular_velocity_raw = _calibration.Correct(val) - _bias;
// Gyro filtering:
// - Apply general notch filter (IMU_GYRO_NF_FREQ)
// - Apply general low-pass filter (IMU_GYRO_CUTOFF)
// - Differentiate & apply specific angular acceleration (D-term) low-pass (IMU_DGYRO_CUTOFF)
const Vector3f angular_velocity_notched{_notch_filter_velocity.apply(angular_velocity_raw)};
const Vector3f angular_velocity{_lp_filter_velocity.apply(angular_velocity_notched)};
const Vector3f angular_acceleration_raw = (angular_velocity - _angular_velocity_prev) / dt;
_angular_velocity_prev = angular_velocity;
_angular_acceleration_prev = angular_acceleration_raw;
const Vector3f angular_acceleration{_lp_filter_acceleration.apply(angular_acceleration_raw)};
// publish once all new samples are processed
if (!_sensor_sub.updated()) {
bool publish = true;
if (_param_imu_gyro_rate_max.get() > 0) {
const uint64_t interval = 1e6f / _param_imu_gyro_rate_max.get();
if (hrt_elapsed_time(&_last_publish) < interval) {
publish = false;
}
}
if (publish) {
// Publish vehicle_angular_acceleration
vehicle_angular_acceleration_s v_angular_acceleration;
v_angular_acceleration.timestamp_sample = sensor_data.timestamp_sample;
angular_acceleration.copyTo(v_angular_acceleration.xyz);
v_angular_acceleration.timestamp = hrt_absolute_time();
_vehicle_angular_acceleration_pub.publish(v_angular_acceleration);
// Publish vehicle_angular_velocity
vehicle_angular_velocity_s v_angular_velocity;
v_angular_velocity.timestamp_sample = sensor_data.timestamp_sample;
angular_velocity.copyTo(v_angular_velocity.xyz);
v_angular_velocity.timestamp = hrt_absolute_time();
_vehicle_angular_velocity_pub.publish(v_angular_velocity);
_last_publish = v_angular_velocity.timestamp_sample;
return;
}
}
}
}
void VehicleAngularVelocity::PrintStatus()
{
PX4_INFO("selected sensor: %d, rate: %.1f Hz, estimated bias: [%.4f %.4f %.4f]",
_calibration.device_id(), (double)_filter_sample_rate,
(double)_bias(0), (double)_bias(1), (double)_bias(2));
_calibration.PrintStatus();
}
} // namespace sensors