px4-firmware/EKF/estimator_interface.cpp

587 lines
20 KiB
C++

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/**
* @file estimator_interface.cpp
* Definition of base class for attitude estimators
*
* @author Roman Bast <bapstroman@gmail.com>
* @author Paul Riseborough <p_riseborough@live.com.au>
* @author Siddharth B Purohit <siddharthbharatpurohit@gmail.com>
*/
#include "estimator_interface.h"
#include <ecl.h>
#include <mathlib/mathlib.h>
// Accumulate imu data and store to buffer at desired rate
void EstimatorInterface::setIMUData(const imuSample &imu_sample)
{
if (!_initialised) {
init(imu_sample.time_us);
_initialised = true;
}
const float dt = math::constrain((imu_sample.time_us - _time_last_imu) / 1e6f, 1.0e-4f, 0.02f);
_time_last_imu = imu_sample.time_us;
if (_time_last_imu > 0) {
_dt_imu_avg = 0.8f * _dt_imu_avg + 0.2f * dt;
}
// calculate a metric which indicates the amount of coning vibration
Vector3f temp = cross_product(imu_sample.delta_ang, _delta_ang_prev);
_vibe_metrics[0] = 0.99f * _vibe_metrics[0] + 0.01f * temp.norm();
// calculate a metric which indicates the amount of high frequency gyro vibration
temp = imu_sample.delta_ang - _delta_ang_prev;
_delta_ang_prev = imu_sample.delta_ang;
_vibe_metrics[1] = 0.99f * _vibe_metrics[1] + 0.01f * temp.norm();
// calculate a metric which indicates the amount of high frequency accelerometer vibration
temp = imu_sample.delta_vel - _delta_vel_prev;
_delta_vel_prev = imu_sample.delta_vel;
_vibe_metrics[2] = 0.99f * _vibe_metrics[2] + 0.01f * temp.norm();
// detect if the vehicle is not moving when on ground
if (!_control_status.flags.in_air) {
if ((_vibe_metrics[1] * 4.0E4f > _params.is_moving_scaler)
|| (_vibe_metrics[2] * 2.1E2f > _params.is_moving_scaler)
|| ((imu_sample.delta_ang.norm() / dt) > 0.05f * _params.is_moving_scaler)) {
_time_last_move_detect_us = imu_sample.time_us;
}
_vehicle_at_rest = ((imu_sample.time_us - _time_last_move_detect_us) > (uint64_t)1E6);
} else {
_time_last_move_detect_us = imu_sample.time_us;
_vehicle_at_rest = false;
}
// accumulate and down-sample imu data and push to the buffer when new downsampled data becomes available
if (collect_imu(imu_sample)) {
// down-sample the drag specific force data by accumulating and calculating the mean when
// sufficient samples have been collected
if ((_params.fusion_mode & MASK_USE_DRAG) && !_drag_buffer_fail) {
// Allocate the required buffer size if not previously done
// Do not retry if allocation has failed previously
if (_drag_buffer.get_length() < _obs_buffer_length) {
_drag_buffer_fail = !_drag_buffer.allocate(_obs_buffer_length);
if (_drag_buffer_fail) {
ECL_ERR_TIMESTAMPED("EKF drag buffer allocation failed");
return;
}
}
_drag_sample_count ++;
// note acceleration is accumulated as a delta velocity
_drag_down_sampled.accelXY(0) += imu_sample.delta_vel(0);
_drag_down_sampled.accelXY(1) += imu_sample.delta_vel(1);
_drag_down_sampled.time_us += imu_sample.time_us;
_drag_sample_time_dt += imu_sample.delta_vel_dt;
// calculate the downsample ratio for drag specific force data
uint8_t min_sample_ratio = (uint8_t) ceilf((float)_imu_buffer_length / _obs_buffer_length);
if (min_sample_ratio < 5) {
min_sample_ratio = 5;
}
// calculate and store means from accumulated values
if (_drag_sample_count >= min_sample_ratio) {
// note conversion from accumulated delta velocity to acceleration
_drag_down_sampled.accelXY(0) /= _drag_sample_time_dt;
_drag_down_sampled.accelXY(1) /= _drag_sample_time_dt;
_drag_down_sampled.time_us /= _drag_sample_count;
// write to buffer
_drag_buffer.push(_drag_down_sampled);
// reset accumulators
_drag_sample_count = 0;
_drag_down_sampled.accelXY.zero();
_drag_down_sampled.time_us = 0;
_drag_sample_time_dt = 0.0f;
}
}
}
}
void EstimatorInterface::setIMUData(uint64_t time_usec, uint64_t delta_ang_dt, uint64_t delta_vel_dt,
float (&delta_ang)[3], float (&delta_vel)[3])
{
imuSample imu_sample_new;
imu_sample_new.delta_ang = Vector3f(delta_ang);
imu_sample_new.delta_vel = Vector3f(delta_vel);
// convert time from us to secs
imu_sample_new.delta_ang_dt = delta_ang_dt / 1e6f;
imu_sample_new.delta_vel_dt = delta_vel_dt / 1e6f;
imu_sample_new.time_us = time_usec;
setIMUData(imu_sample_new);
}
void EstimatorInterface::setMagData(uint64_t time_usec, float (&data)[3])
{
if (!_initialised || _mag_buffer_fail) {
return;
}
// Allocate the required buffer size if not previously done
// Do not retry if allocation has failed previously
if (_mag_buffer.get_length() < _obs_buffer_length) {
_mag_buffer_fail = !_mag_buffer.allocate(_obs_buffer_length);
if (_mag_buffer_fail) {
ECL_ERR_TIMESTAMPED("EKF mag buffer allocation failed");
return;
}
}
// limit data rate to prevent data being lost
if ((time_usec - _time_last_mag) > _min_obs_interval_us) {
magSample mag_sample_new;
mag_sample_new.time_us = time_usec - _params.mag_delay_ms * 1000;
mag_sample_new.time_us -= FILTER_UPDATE_PERIOD_MS * 1000 / 2;
_time_last_mag = time_usec;
mag_sample_new.mag = Vector3f(data);
_mag_buffer.push(mag_sample_new);
}
}
void EstimatorInterface::setGpsData(uint64_t time_usec, const gps_message &gps)
{
if (!_initialised || _gps_buffer_fail) {
return;
}
// Allocate the required buffer size if not previously done
// Do not retry if allocation has failed previously
if (_gps_buffer.get_length() < _obs_buffer_length) {
_gps_buffer_fail = !_gps_buffer.allocate(_obs_buffer_length);
if (_gps_buffer_fail) {
ECL_ERR_TIMESTAMPED("EKF GPS buffer allocation failed");
return;
}
}
// limit data rate to prevent data being lost
bool need_gps = (_params.fusion_mode & MASK_USE_GPS) || (_params.vdist_sensor_type == VDIST_SENSOR_GPS);
if (((time_usec - _time_last_gps) > _min_obs_interval_us) && need_gps && gps.fix_type > 2) {
gpsSample gps_sample_new;
gps_sample_new.time_us = gps.time_usec - _params.gps_delay_ms * 1000;
gps_sample_new.time_us -= FILTER_UPDATE_PERIOD_MS * 1000 / 2;
_time_last_gps = time_usec;
gps_sample_new.time_us = math::max(gps_sample_new.time_us, _imu_sample_delayed.time_us);
gps_sample_new.vel = Vector3f(gps.vel_ned);
_gps_speed_valid = gps.vel_ned_valid;
gps_sample_new.sacc = gps.sacc;
gps_sample_new.hacc = gps.eph;
gps_sample_new.vacc = gps.epv;
gps_sample_new.hgt = (float)gps.alt * 1e-3f;
gps_sample_new.yaw = gps.yaw;
if (ISFINITE(gps.yaw_offset)) {
_gps_yaw_offset = gps.yaw_offset;
} else {
_gps_yaw_offset = 0.0f;
}
// Only calculate the relative position if the WGS-84 location of the origin is set
if (collect_gps(gps)) {
float lpos_x = 0.0f;
float lpos_y = 0.0f;
map_projection_project(&_pos_ref, (gps.lat / 1.0e7), (gps.lon / 1.0e7), &lpos_x, &lpos_y);
gps_sample_new.pos(0) = lpos_x;
gps_sample_new.pos(1) = lpos_y;
} else {
gps_sample_new.pos(0) = 0.0f;
gps_sample_new.pos(1) = 0.0f;
}
_gps_buffer.push(gps_sample_new);
}
}
void EstimatorInterface::setBaroData(uint64_t time_usec, float data)
{
if (!_initialised || _baro_buffer_fail) {
return;
}
// Allocate the required buffer size if not previously done
// Do not retry if allocation has failed previously
if (_baro_buffer.get_length() < _obs_buffer_length) {
_baro_buffer_fail = !_baro_buffer.allocate(_obs_buffer_length);
if (_baro_buffer_fail) {
ECL_ERR_TIMESTAMPED("EKF baro buffer allocation failed");
return;
}
}
// limit data rate to prevent data being lost
if ((time_usec - _time_last_baro) > _min_obs_interval_us) {
baroSample baro_sample_new;
baro_sample_new.hgt = data;
baro_sample_new.time_us = time_usec - _params.baro_delay_ms * 1000;
baro_sample_new.time_us -= FILTER_UPDATE_PERIOD_MS * 1000 / 2;
_time_last_baro = time_usec;
baro_sample_new.time_us = math::max(baro_sample_new.time_us, _imu_sample_delayed.time_us);
_baro_buffer.push(baro_sample_new);
}
}
void EstimatorInterface::setAirspeedData(uint64_t time_usec, float true_airspeed, float eas2tas)
{
if (!_initialised || _airspeed_buffer_fail) {
return;
}
// Allocate the required buffer size if not previously done
// Do not retry if allocation has failed previously
if (_airspeed_buffer.get_length() < _obs_buffer_length) {
_airspeed_buffer_fail = !_airspeed_buffer.allocate(_obs_buffer_length);
if (_airspeed_buffer_fail) {
ECL_ERR_TIMESTAMPED("EKF airspeed buffer allocation failed");
return;
}
}
// limit data rate to prevent data being lost
if ((time_usec - _time_last_airspeed) > _min_obs_interval_us) {
airspeedSample airspeed_sample_new;
airspeed_sample_new.true_airspeed = true_airspeed;
airspeed_sample_new.eas2tas = eas2tas;
airspeed_sample_new.time_us = time_usec - _params.airspeed_delay_ms * 1000;
airspeed_sample_new.time_us -= FILTER_UPDATE_PERIOD_MS * 1000 / 2;
_time_last_airspeed = time_usec;
_airspeed_buffer.push(airspeed_sample_new);
}
}
void EstimatorInterface::setRangeData(uint64_t time_usec, float data, int8_t quality)
{
if (!_initialised || _range_buffer_fail) {
return;
}
// Allocate the required buffer size if not previously done
// Do not retry if allocation has failed previously
if (_range_buffer.get_length() < _obs_buffer_length) {
_range_buffer_fail = !_range_buffer.allocate(_obs_buffer_length);
if (_range_buffer_fail) {
ECL_ERR_TIMESTAMPED("EKF range finder buffer allocation failed");
return;
}
}
// limit data rate to prevent data being lost
if ((time_usec - _time_last_range) > _min_obs_interval_us) {
rangeSample range_sample_new;
range_sample_new.rng = data;
range_sample_new.time_us = time_usec - _params.range_delay_ms * 1000;
range_sample_new.quality = quality;
_time_last_range = time_usec;
_range_buffer.push(range_sample_new);
}
}
// set optical flow data
void EstimatorInterface::setOpticalFlowData(uint64_t time_usec, flow_message *flow)
{
if (!_initialised || _flow_buffer_fail) {
return;
}
// Allocate the required buffer size if not previously done
// Do not retry if allocation has failed previously
if (_flow_buffer.get_length() < _imu_buffer_length) {
_flow_buffer_fail = !_flow_buffer.allocate(_imu_buffer_length);
if (_flow_buffer_fail) {
ECL_ERR_TIMESTAMPED("EKF optical flow buffer allocation failed");
return;
}
}
// limit data rate to prevent data being lost
if ((time_usec - _time_last_optflow) > _min_obs_interval_us) {
// check if enough integration time and fail if integration time is less than 50%
// of min arrival interval because too much data is being lost
float delta_time = 1e-6f * (float)flow->dt;
float delta_time_min = 5e-7f * (float)_min_obs_interval_us;
bool delta_time_good = delta_time >= delta_time_min;
if (!delta_time_good) {
// protect against overflow caused by division with very small delta_time
delta_time = delta_time_min;
}
// check magnitude is within sensor limits
// use this to prevent use of a saturated flow sensor when there are other aiding sources available
float flow_rate_magnitude;
bool flow_magnitude_good = true;
if (delta_time_good) {
flow_rate_magnitude = flow->flowdata.norm() / delta_time;
flow_magnitude_good = (flow_rate_magnitude <= _flow_max_rate);
}
bool relying_on_flow = !_control_status.flags.gps && !_control_status.flags.ev_pos && !_control_status.flags.ev_vel;
// check quality metric
bool flow_quality_good = (flow->quality >= _params.flow_qual_min);
// Check data validity and write to buffers
// Invalid flow data is allowed when on ground and is handled as a special case in controlOpticalFlowFusion()
bool use_flow_data_to_navigate = delta_time_good && flow_quality_good && (flow_magnitude_good || relying_on_flow);
if (use_flow_data_to_navigate || (!_control_status.flags.in_air && relying_on_flow)) {
flowSample optflow_sample_new;
// calculate the system time-stamp for the trailing edge of the flow data integration period
optflow_sample_new.time_us = time_usec - _params.flow_delay_ms * 1000;
// copy the quality metric returned by the PX4Flow sensor
optflow_sample_new.quality = flow->quality;
// copy the optical and gyro measured delta angles
// NOTE: the EKF uses the reverse sign convention to the flow sensor. EKF assumes positive LOS rate
// is produced by a RH rotation of the image about the sensor axis.
optflow_sample_new.gyroXYZ = - flow->gyrodata;
optflow_sample_new.flowRadXY = -flow->flowdata;
// convert integration interval to seconds
optflow_sample_new.dt = delta_time;
_time_last_optflow = time_usec;
_flow_buffer.push(optflow_sample_new);
}
}
}
// set attitude and position data derived from an external vision system
void EstimatorInterface::setExtVisionData(uint64_t time_usec, ext_vision_message *evdata)
{
if (!_initialised || _ev_buffer_fail) {
return;
}
// Allocate the required buffer size if not previously done
// Do not retry if allocation has failed previously
if (_ext_vision_buffer.get_length() < _obs_buffer_length) {
_ev_buffer_fail = !_ext_vision_buffer.allocate(_obs_buffer_length);
if (_ev_buffer_fail) {
ECL_ERR_TIMESTAMPED("EKF external vision buffer allocation failed");
return;
}
}
// limit data rate to prevent data being lost
if ((time_usec - _time_last_ext_vision) > _min_obs_interval_us) {
extVisionSample ev_sample_new;
// calculate the system time-stamp for the mid point of the integration period
ev_sample_new.time_us = time_usec - _params.ev_delay_ms * 1000;
// copy required data
ev_sample_new.angErr = evdata->angErr;
ev_sample_new.posErr = evdata->posErr;
ev_sample_new.velErr = evdata->velErr;
ev_sample_new.hgtErr = evdata->hgtErr;
ev_sample_new.quat = evdata->quat;
ev_sample_new.pos = evdata->pos;
ev_sample_new.vel = evdata->vel;
// record time for comparison next measurement
_time_last_ext_vision = time_usec;
_ext_vision_buffer.push(ev_sample_new);
}
}
void EstimatorInterface::setAuxVelData(uint64_t time_usec, float (&data)[2], float (&variance)[2])
{
if (!_initialised || _auxvel_buffer_fail) {
return;
}
// Allocate the required buffer size if not previously done
// Do not retry if allocation has failed previously
if (_auxvel_buffer.get_length() < _obs_buffer_length) {
_auxvel_buffer_fail = !_auxvel_buffer.allocate(_obs_buffer_length);
if (_auxvel_buffer_fail) {
ECL_ERR_TIMESTAMPED("EKF aux vel buffer allocation failed");
return;
}
}
// limit data rate to prevent data being lost
if ((time_usec - _time_last_auxvel) > _min_obs_interval_us) {
auxVelSample auxvel_sample_new;
auxvel_sample_new.time_us = time_usec - _params.auxvel_delay_ms * 1000;
auxvel_sample_new.time_us -= FILTER_UPDATE_PERIOD_MS * 1000 / 2;
_time_last_auxvel = time_usec;
auxvel_sample_new.velNE = Vector2f(data);
auxvel_sample_new.velVarNE = Vector2f(variance);
_auxvel_buffer.push(auxvel_sample_new);
}
}
bool EstimatorInterface::initialise_interface(uint64_t timestamp)
{
// find the maximum time delay the buffers are required to handle
uint16_t max_time_delay_ms = math::max(_params.mag_delay_ms,
math::max(_params.range_delay_ms,
math::max(_params.gps_delay_ms,
math::max(_params.flow_delay_ms,
math::max(_params.ev_delay_ms,
math::max(_params.auxvel_delay_ms,
math::max(_params.min_delay_ms,
math::max(_params.airspeed_delay_ms, _params.baro_delay_ms))))))));
// calculate the IMU buffer length required to accomodate the maximum delay with some allowance for jitter
_imu_buffer_length = (max_time_delay_ms / FILTER_UPDATE_PERIOD_MS) + 1;
// set the observation buffer length to handle the minimum time of arrival between observations in combination
// with the worst case delay from current time to ekf fusion time
// allow for worst case 50% extension of the ekf fusion time horizon delay due to timing jitter
uint16_t ekf_delay_ms = max_time_delay_ms + (int)(ceilf((float)max_time_delay_ms * 0.5f));
_obs_buffer_length = (ekf_delay_ms / _params.sensor_interval_min_ms) + 1;
// limit to be no longer than the IMU buffer (we can't process data faster than the EKF prediction rate)
_obs_buffer_length = math::min(_obs_buffer_length, _imu_buffer_length);
if (!(_imu_buffer.allocate(_imu_buffer_length) &&
_output_buffer.allocate(_imu_buffer_length) &&
_output_vert_buffer.allocate(_imu_buffer_length))) {
ECL_ERR_TIMESTAMPED("EKF buffer allocation failed!");
unallocate_buffers();
return false;
}
_dt_imu_avg = 0.0f;
_imu_sample_delayed.delta_ang.setZero();
_imu_sample_delayed.delta_vel.setZero();
_imu_sample_delayed.delta_ang_dt = 0.0f;
_imu_sample_delayed.delta_vel_dt = 0.0f;
_imu_sample_delayed.time_us = timestamp;
_initialised = false;
_time_last_imu = 0;
_time_last_gps = 0;
_time_last_mag = 0;
_time_last_baro = 0;
_time_last_range = 0;
_time_last_airspeed = 0;
_time_last_optflow = 0;
_fault_status.value = 0;
_time_last_ext_vision = 0;
return true;
}
void EstimatorInterface::unallocate_buffers()
{
_imu_buffer.unallocate();
_gps_buffer.unallocate();
_mag_buffer.unallocate();
_baro_buffer.unallocate();
_range_buffer.unallocate();
_airspeed_buffer.unallocate();
_flow_buffer.unallocate();
_ext_vision_buffer.unallocate();
_output_buffer.unallocate();
_output_vert_buffer.unallocate();
_drag_buffer.unallocate();
_auxvel_buffer.unallocate();
}
bool EstimatorInterface::local_position_is_valid()
{
// return true if we are not doing unconstrained free inertial navigation
return !_deadreckon_time_exceeded;
}
void EstimatorInterface::print_status()
{
ECL_INFO("local position valid: %s", local_position_is_valid() ? "yes" : "no");
ECL_INFO("global position valid: %s", global_position_is_valid() ? "yes" : "no");
ECL_INFO("imu buffer: %d (%d Bytes)", _imu_buffer.get_length(), _imu_buffer.get_total_size());
ECL_INFO("gps buffer: %d (%d Bytes)", _gps_buffer.get_length(), _gps_buffer.get_total_size());
ECL_INFO("mag buffer: %d (%d Bytes)", _mag_buffer.get_length(), _mag_buffer.get_total_size());
ECL_INFO("baro buffer: %d (%d Bytes)", _baro_buffer.get_length(), _baro_buffer.get_total_size());
ECL_INFO("range buffer: %d (%d Bytes)", _range_buffer.get_length(), _range_buffer.get_total_size());
ECL_INFO("airspeed buffer: %d (%d Bytes)", _airspeed_buffer.get_length(), _airspeed_buffer.get_total_size());
ECL_INFO("flow buffer: %d (%d Bytes)", _flow_buffer.get_length(), _flow_buffer.get_total_size());
ECL_INFO("ext vision buffer: %d (%d Bytes)", _ext_vision_buffer.get_length(), _ext_vision_buffer.get_total_size());
ECL_INFO("output buffer: %d (%d Bytes)", _output_buffer.get_length(), _output_buffer.get_total_size());
ECL_INFO("output vert buffer: %d (%d Bytes)", _output_vert_buffer.get_length(), _output_vert_buffer.get_total_size());
ECL_INFO("drag buffer: %d (%d Bytes)", _drag_buffer.get_length(), _drag_buffer.get_total_size());
}