mirror of
https://github.com/PX4/PX4-Autopilot.git
synced 2026-05-22 22:32:11 +08:00
Merge branch 'terrainaltfield' of github.com:PX4/Firmware
This commit is contained in:
@@ -58,6 +58,7 @@
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#include <drivers/drv_accel.h>
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#include <drivers/drv_mag.h>
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#include <drivers/drv_baro.h>
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#include <drivers/drv_range_finder.h>
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#ifdef SENSOR_COMBINED_SUB
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#include <uORB/topics/sensor_combined.h>
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#endif
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@@ -96,7 +97,10 @@ extern "C" __EXPORT int ekf_att_pos_estimator_main(int argc, char *argv[]);
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__EXPORT uint32_t millis();
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__EXPORT uint64_t getMicros();
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static uint64_t IMUmsec = 0;
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static uint64_t IMUusec = 0;
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static const uint64_t FILTER_INIT_DELAY = 1 * 1000 * 1000;
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uint32_t millis()
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@@ -104,6 +108,11 @@ uint32_t millis()
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return IMUmsec;
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}
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uint64_t getMicros()
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{
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return IMUusec;
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}
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class FixedwingEstimator
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{
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public:
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@@ -171,6 +180,7 @@ private:
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#else
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int _sensor_combined_sub;
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#endif
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int _distance_sub; /**< distance measurement */
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int _airspeed_sub; /**< airspeed subscription */
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int _baro_sub; /**< barometer subscription */
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int _gps_sub; /**< GPS subscription */
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@@ -196,7 +206,8 @@ private:
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struct vehicle_global_position_s _global_pos; /**< global vehicle position */
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struct vehicle_local_position_s _local_pos; /**< local vehicle position */
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struct vehicle_gps_position_s _gps; /**< GPS position */
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struct wind_estimate_s _wind; /**< Wind estimate */
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struct wind_estimate_s _wind; /**< wind estimate */
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struct range_finder_report _distance; /**< distance estimate */
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struct gyro_scale _gyro_offsets;
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struct accel_scale _accel_offsets;
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@@ -226,6 +237,7 @@ private:
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hrt_abstime _filter_start_time;
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hrt_abstime _last_sensor_timestamp;
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hrt_abstime _last_run;
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hrt_abstime _distance_last_valid;
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bool _gyro_valid;
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bool _accel_valid;
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bool _mag_valid;
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@@ -342,6 +354,7 @@ FixedwingEstimator::FixedwingEstimator() :
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#else
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_sensor_combined_sub(-1),
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#endif
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_distance_sub(-1),
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_airspeed_sub(-1),
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_baro_sub(-1),
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_gps_sub(-1),
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@@ -399,6 +412,7 @@ FixedwingEstimator::FixedwingEstimator() :
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_filter_start_time(0),
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_last_sensor_timestamp(0),
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_last_run(0),
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_distance_last_valid(0),
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_gyro_valid(false),
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_accel_valid(false),
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_mag_valid(false),
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@@ -549,6 +563,7 @@ FixedwingEstimator::parameters_update()
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_ekf->gyroProcessNoise = _parameters.gyro_pnoise;
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_ekf->accelProcessNoise = _parameters.acc_pnoise;
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_ekf->airspeedMeasurementSigma = _parameters.eas_noise;
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_ekf->rngFinderPitch = 0.0f; // XXX base on SENS_BOARD_Y_OFF
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}
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return OK;
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@@ -704,6 +719,7 @@ FixedwingEstimator::task_main()
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/*
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* do subscriptions
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*/
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_distance_sub = orb_subscribe(ORB_ID(sensor_range_finder));
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_baro_sub = orb_subscribe(ORB_ID(sensor_baro0));
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_airspeed_sub = orb_subscribe(ORB_ID(airspeed));
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_gps_sub = orb_subscribe(ORB_ID(vehicle_gps_position));
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@@ -753,6 +769,7 @@ FixedwingEstimator::task_main()
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bool newHgtData = false;
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bool newAdsData = false;
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bool newDataMag = false;
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bool newRangeData = false;
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float posNED[3] = {0.0f, 0.0f, 0.0f}; // North, East Down position (m)
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@@ -850,7 +867,8 @@ FixedwingEstimator::task_main()
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}
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_last_sensor_timestamp = _gyro.timestamp;
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IMUmsec = _gyro.timestamp / 1e3f;
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IMUmsec = _gyro.timestamp / 1e3;
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IMUusec = _gyro.timestamp;
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float deltaT = (_gyro.timestamp - _last_run) / 1e6f;
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_last_run = _gyro.timestamp;
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@@ -914,7 +932,8 @@ FixedwingEstimator::task_main()
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// Copy gyro and accel
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_last_sensor_timestamp = _sensor_combined.timestamp;
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IMUmsec = _sensor_combined.timestamp / 1e3f;
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IMUmsec = _sensor_combined.timestamp / 1e3;
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IMUusec = _sensor_combined.timestamp;
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float deltaT = (_sensor_combined.timestamp - _last_run) / 1e6f;
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@@ -994,8 +1013,6 @@ FixedwingEstimator::task_main()
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if (gps_updated) {
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last_gps = _gps.timestamp_position;
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orb_copy(ORB_ID(vehicle_gps_position), _gps_sub, &_gps);
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perf_count(_perf_gps);
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@@ -1008,11 +1025,17 @@ FixedwingEstimator::task_main()
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_gps_start_time = hrt_absolute_time();
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/* check if we had a GPS outage for a long time */
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if (hrt_elapsed_time(&last_gps) > 5 * 1000 * 1000) {
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float gps_elapsed = hrt_elapsed_time(&last_gps) / 1e6f;
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const float pos_reset_threshold = 5.0f; // seconds
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/* timeout of 5 seconds */
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if (gps_elapsed > pos_reset_threshold) {
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_ekf->ResetPosition();
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_ekf->ResetVelocity();
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_ekf->ResetStoredStates();
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}
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_ekf->updateDtGpsFilt(math::constrain((_gps.timestamp_position - last_gps) / 1e6f, 0.01f, pos_reset_threshold));
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/* fuse GPS updates */
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@@ -1044,6 +1067,8 @@ FixedwingEstimator::task_main()
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newDataGps = true;
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last_gps = _gps.timestamp_position;
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}
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}
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@@ -1052,8 +1077,15 @@ FixedwingEstimator::task_main()
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orb_check(_baro_sub, &baro_updated);
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if (baro_updated) {
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hrt_abstime baro_last = _baro.timestamp;
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orb_copy(ORB_ID(sensor_baro0), _baro_sub, &_baro);
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float baro_elapsed = (_baro.timestamp - baro_last) / 1e6f;
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_ekf->updateDtHgtFilt(math::constrain(baro_elapsed, 0.001f, 0.1));
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_ekf->baroHgt = _baro.altitude;
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if (!_baro_init) {
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@@ -1114,6 +1146,19 @@ FixedwingEstimator::task_main()
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newDataMag = false;
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}
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orb_check(_distance_sub, &newRangeData);
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if (newRangeData) {
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orb_copy(ORB_ID(sensor_range_finder), _distance_sub, &_distance);
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if (_distance.valid) {
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_ekf->rngMea = _distance.distance;
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_distance_last_valid = _distance.timestamp;
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} else {
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newRangeData = false;
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}
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}
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/*
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* CHECK IF ITS THE RIGHT TIME TO RUN THINGS ALREADY
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*/
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@@ -1197,6 +1242,7 @@ FixedwingEstimator::task_main()
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} else if (_ekf->statesInitialised) {
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// We're apparently initialized in this case now
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// check (and reset the filter as needed)
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int check = check_filter_state();
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if (check) {
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@@ -1206,21 +1252,7 @@ FixedwingEstimator::task_main()
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// Run the strapdown INS equations every IMU update
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_ekf->UpdateStrapdownEquationsNED();
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#if 0
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// debug code - could be tunred into a filter mnitoring/watchdog function
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float tempQuat[4];
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for (uint8_t j = 0; j <= 3; j++) tempQuat[j] = states[j];
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quat2eul(eulerEst, tempQuat);
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for (uint8_t j = 0; j <= 2; j++) eulerDif[j] = eulerEst[j] - ahrsEul[j];
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if (eulerDif[2] > pi) eulerDif[2] -= 2 * pi;
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if (eulerDif[2] < -pi) eulerDif[2] += 2 * pi;
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#endif
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// store the predicted states for subsequent use by measurement fusion
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_ekf->StoreStates(IMUmsec);
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// Check if on ground - status is used by covariance prediction
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@@ -1334,6 +1366,13 @@ FixedwingEstimator::task_main()
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_ekf->fuseVtasData = false;
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}
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if (newRangeData) {
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_ekf->fuseRngData = true;
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_ekf->useRangeFinder = true;
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_ekf->RecallStates(_ekf->statesAtRngTime, (IMUmsec - 500.0f));
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_ekf->GroundEKF();
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}
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// Output results
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math::Quaternion q(_ekf->states[0], _ekf->states[1], _ekf->states[2], _ekf->states[3]);
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@@ -1447,6 +1486,10 @@ FixedwingEstimator::task_main()
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_global_pos.vel_d = _local_pos.vz;
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}
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/* terrain altitude */
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_global_pos.terrain_alt = _ekf->hgtRef - _ekf->flowStates[1];
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_global_pos.terrain_alt_valid = (_distance_last_valid > 0) &&
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(hrt_elapsed_time(&_distance_last_valid) < 20 * 1000 * 1000);
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_global_pos.yaw = _local_pos.yaw;
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@@ -1467,8 +1510,10 @@ FixedwingEstimator::task_main()
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if (hrt_elapsed_time(&_wind.timestamp) > 99000) {
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_wind.timestamp = _global_pos.timestamp;
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_wind.windspeed_north = _ekf->states[14];
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_wind.windspeed_east = _ekf->states[15];
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_wind.windspeed_north = _ekf->windSpdFiltNorth;
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_wind.windspeed_east = _ekf->windSpdFiltEast;
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// XXX we need to do something smart about the covariance here
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// but we default to the estimate covariance for now
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_wind.covariance_north = _ekf->P[14][14];
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_wind.covariance_east = _ekf->P[15][15];
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File diff suppressed because one or more lines are too long
@@ -80,6 +80,14 @@ public:
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airspeedMeasurementSigma = 1.4f;
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gyroProcessNoise = 1.4544411e-2f;
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accelProcessNoise = 0.5f;
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gndHgtSigma = 0.1f; // terrain gradient 1-sigma
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R_LOS = 0.03f; // optical flow measurement noise variance (rad/sec)^2
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flowInnovGate = 3.0f; // number of standard deviations applied to the optical flow innovation consistency check
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auxFlowInnovGate = 10.0f; // number of standard deviations applied to the optical flow innovation consistency check used by the auxiliary filter
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rngInnovGate = 10.0f; // number of standard deviations applied to the rnage finder innovation consistency check
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minFlowRng = 0.01f; //minimum range between ground and flow sensor
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moCompR_LOS = 0.2; // scaler from sensor gyro rate to uncertainty in LOS rate
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}
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struct mag_state_struct {
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@@ -116,13 +124,16 @@ public:
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float storedStates[n_states][data_buffer_size]; // state vectors stored for the last 50 time steps
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uint32_t statetimeStamp[data_buffer_size]; // time stamp for each state vector stored
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// Times
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uint64_t lastVelPosFusion; // the time of the last velocity fusion, in the standard time unit of the filter
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float statesAtVelTime[n_states]; // States at the effective measurement time for posNE and velNED measurements
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float statesAtPosTime[n_states]; // States at the effective measurement time for posNE and velNED measurements
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float statesAtHgtTime[n_states]; // States at the effective measurement time for the hgtMea measurement
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float statesAtMagMeasTime[n_states]; // filter satates at the effective measurement time
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float statesAtVtasMeasTime[n_states]; // filter states at the effective measurement time
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float statesAtRngTime[n_states]; // filter states at the effective measurement time
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float statesAtOptFlowTime[n_states]; // States at the effective optical flow measurement time
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float statesAtFlowTime[n_states]; // States at the effective optical flow measurement time
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Vector3f correctedDelAng; // delta angles about the xyz body axes corrected for errors (rad)
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Vector3f correctedDelVel; // delta velocities along the XYZ body axes corrected for errors (m/s)
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@@ -140,7 +151,16 @@ public:
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Vector3f accel; // acceleration vector in XYZ body axes measured by the IMU (m/s^2)
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Vector3f dVelIMU;
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Vector3f dAngIMU;
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float dtIMU; // time lapsed since the last IMU measurement or covariance update (sec)
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float dtIMU; // time lapsed since the last IMU measurement or covariance update (sec), this may have significant jitter
|
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float dtIMUfilt; // average time between IMU measurements (sec)
|
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float dtVelPos; // time lapsed since the last position / velocity fusion (seconds), this may have significant jitter
|
||||
float dtVelPosFilt; // average time between position / velocity fusion steps
|
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float dtHgtFilt; // average time between height measurement updates
|
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float dtGpsFilt; // average time between gps measurement updates
|
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float windSpdFiltNorth; // average wind speed north component
|
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float windSpdFiltEast; // average wind speed east component
|
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float windSpdFiltAltitude; // the last altitude used to filter wind speed
|
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float windSpdFiltClimb; // filtered climb rate
|
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uint8_t fusionModeGPS; // 0 = GPS outputs 3D velocity, 1 = GPS outputs 2D velocity, 2 = GPS outputs no velocity
|
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float innovVelPos[6]; // innovation output
|
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float varInnovVelPos[6]; // innovation variance output
|
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@@ -192,7 +212,8 @@ public:
|
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|
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bool inhibitWindStates; // true when wind states and covariances are to remain constant
|
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bool inhibitMagStates; // true when magnetic field states and covariances are to remain constant
|
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bool inhibitGndHgtState; // true when the terrain ground height offset state and covariances are to remain constant
|
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bool inhibitGndState; // true when the terrain ground height offset state and covariances are to remain constant
|
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bool inhibitScaleState; // true when the focal length scale factor state and covariances are to remain constant
|
||||
|
||||
bool onGround; ///< boolean true when the flight vehicle is on the ground (not flying)
|
||||
bool staticMode; ///< boolean true if no position feedback is fused
|
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@@ -211,6 +232,30 @@ public:
|
||||
|
||||
unsigned storeIndex;
|
||||
|
||||
// Optical Flow error estimation
|
||||
float storedOmega[3][data_buffer_size]; // angular rate vector stored for the last 50 time steps used by optical flow eror estimators
|
||||
|
||||
// Two state EKF used to estimate focal length scale factor and terrain position
|
||||
float Popt[2][2]; // state covariance matrix
|
||||
float flowStates[2]; // flow states [scale factor, terrain position]
|
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float prevPosN; // north position at last measurement
|
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float prevPosE; // east position at last measurement
|
||||
float auxFlowObsInnov[2]; // optical flow observation innovations from focal length scale factor estimator
|
||||
float auxFlowObsInnovVar[2]; // innovation variance for optical flow observations from focal length scale factor estimator
|
||||
float fScaleFactorVar; // optical flow sensor focal length scale factor variance
|
||||
Mat3f Tnb_flow; // Transformation matrix from nav to body at the time fo the optical flow measurement
|
||||
float R_LOS; // Optical flow observation noise variance (rad/sec)^2
|
||||
float auxFlowTestRatio[2]; // ratio of X and Y flow observation innovations to fault threshold
|
||||
float auxRngTestRatio; // ratio of range observation innovations to fault threshold
|
||||
float flowInnovGate; // number of standard deviations used for the innovation consistency check
|
||||
float auxFlowInnovGate; // number of standard deviations applied to the optical flow innovation consistency check
|
||||
float rngInnovGate; // number of standard deviations used for the innovation consistency check
|
||||
float minFlowRng; // minimum range over which to fuse optical flow measurements
|
||||
float moCompR_LOS; // scaler from sensor gyro rate to uncertainty in LOS rate
|
||||
|
||||
void updateDtGpsFilt(float dt);
|
||||
|
||||
void updateDtHgtFilt(float dt);
|
||||
|
||||
void UpdateStrapdownEquationsNED();
|
||||
|
||||
@@ -226,6 +271,8 @@ void FuseRangeFinder();
|
||||
|
||||
void FuseOptFlow();
|
||||
|
||||
void GroundEKF();
|
||||
|
||||
void zeroRows(float (&covMat)[n_states][n_states], uint8_t first, uint8_t last);
|
||||
|
||||
void zeroCols(float (&covMat)[n_states][n_states], uint8_t first, uint8_t last);
|
||||
@@ -268,6 +315,10 @@ static void quat2Tnb(Mat3f &Tnb, const float (&quat)[4]);
|
||||
|
||||
static float sq(float valIn);
|
||||
|
||||
static float maxf(float valIn1, float valIn2);
|
||||
|
||||
static float min(float valIn1, float valIn2);
|
||||
|
||||
void OnGroundCheck();
|
||||
|
||||
void CovarianceInit();
|
||||
@@ -300,6 +351,8 @@ void InitializeDynamic(float (&initvelNED)[3], float declination);
|
||||
|
||||
protected:
|
||||
|
||||
void updateDtVelPosFilt(float dt);
|
||||
|
||||
bool FilterHealthy();
|
||||
|
||||
bool GyroOffsetsDiverged();
|
||||
@@ -314,3 +367,5 @@ void AttitudeInit(float ax, float ay, float az, float mx, float my, float mz, fl
|
||||
|
||||
uint32_t millis();
|
||||
|
||||
uint64_t getMicros();
|
||||
|
||||
|
||||
@@ -1432,6 +1432,11 @@ int sdlog2_thread_main(int argc, char *argv[])
|
||||
log_msg.body.log_GPOS.vel_d = buf.global_pos.vel_d;
|
||||
log_msg.body.log_GPOS.eph = buf.global_pos.eph;
|
||||
log_msg.body.log_GPOS.epv = buf.global_pos.epv;
|
||||
if (buf.global_pos.terrain_alt_valid) {
|
||||
log_msg.body.log_GPOS.terrain_alt = buf.global_pos.terrain_alt;
|
||||
} else {
|
||||
log_msg.body.log_GPOS.terrain_alt = -1.0f;
|
||||
}
|
||||
LOGBUFFER_WRITE_AND_COUNT(GPOS);
|
||||
}
|
||||
|
||||
@@ -1464,7 +1469,7 @@ int sdlog2_thread_main(int argc, char *argv[])
|
||||
log_msg.body.log_VICN.yaw = buf.vicon_pos.yaw;
|
||||
LOGBUFFER_WRITE_AND_COUNT(VICN);
|
||||
}
|
||||
|
||||
|
||||
/* --- VISION POSITION --- */
|
||||
if (copy_if_updated(ORB_ID(vision_position_estimate), subs.vision_pos_sub, &buf.vision_pos)) {
|
||||
log_msg.msg_type = LOG_VISN_MSG;
|
||||
|
||||
@@ -220,6 +220,7 @@ struct log_GPOS_s {
|
||||
float vel_d;
|
||||
float eph;
|
||||
float epv;
|
||||
float terrain_alt;
|
||||
};
|
||||
|
||||
/* --- GPSP - GLOBAL POSITION SETPOINT --- */
|
||||
@@ -449,7 +450,7 @@ static const struct log_format_s log_formats[] = {
|
||||
LOG_FORMAT(AIRS, "fff", "IndSpeed,TrueSpeed,AirTemp"),
|
||||
LOG_FORMAT(ARSP, "fff", "RollRateSP,PitchRateSP,YawRateSP"),
|
||||
LOG_FORMAT(FLOW, "hhfffBB", "RawX,RawY,CompX,CompY,Dist,Q,SensID"),
|
||||
LOG_FORMAT(GPOS, "LLffffff", "Lat,Lon,Alt,VelN,VelE,VelD,EPH,EPV"),
|
||||
LOG_FORMAT(GPOS, "LLfffffff", "Lat,Lon,Alt,VelN,VelE,VelD,EPH,EPV,TALT"),
|
||||
LOG_FORMAT(GPSP, "BLLffBfbf", "NavState,Lat,Lon,Alt,Yaw,Type,LoitR,LoitDir,PitMin"),
|
||||
LOG_FORMAT(ESC, "HBBBHHHHHHfH", "count,nESC,Conn,N,Ver,Adr,Volt,Amp,RPM,Temp,SetP,SetPRAW"),
|
||||
LOG_FORMAT(GVSP, "fff", "VX,VY,VZ"),
|
||||
|
||||
@@ -72,6 +72,8 @@ struct vehicle_global_position_s {
|
||||
float yaw; /**< Yaw in radians -PI..+PI. */
|
||||
float eph; /**< Standard deviation of position estimate horizontally */
|
||||
float epv; /**< Standard deviation of position vertically */
|
||||
float terrain_alt; /**< Terrain altitude in m, WGS84 */
|
||||
bool terrain_alt_valid; /**< Terrain altitude estimate is valid */
|
||||
};
|
||||
|
||||
/**
|
||||
|
||||
Reference in New Issue
Block a user