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Update EKF estimator to most recent version from Paul Riseborough
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@ -84,7 +84,7 @@
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#include <mathlib/mathlib.h>
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#include <mavlink/mavlink_log.h>
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#include "estimator_23states.h"
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#include "estimator_22states.h"
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@ -1371,10 +1371,15 @@ FixedwingEstimator::task_main()
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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 - 100.0f));
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_ekf->GroundEKF();
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if (_ekf->Tnb.z.z > 0.9f) {
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// _ekf->rngMea is set in sensor readout already
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_ekf->fuseRngData = true;
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_ekf->fuseOptFlowData = false;
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_ekf->RecallStates(_ekf->statesAtRngTime, (IMUmsec - 100.0f));
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_ekf->OpticalFlowEKF();
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_ekf->fuseRngData = false;
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}
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}
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@ -1514,8 +1519,8 @@ 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->windSpdFiltNorth;
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_wind.windspeed_east = _ekf->windSpdFiltEast;
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_wind.windspeed_north = _ekf->states[14];
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_wind.windspeed_east = _ekf->states[15];
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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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File diff suppressed because it is too large
Load Diff
@ -1,247 +0,0 @@
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#pragma once
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#include "estimator_utilities.h"
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class AttPosEKF {
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public:
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AttPosEKF();
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~AttPosEKF();
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/* ##############################################
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*
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* M A I N F I L T E R P A R A M E T E R S
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*
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* ########################################### */
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/*
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* parameters are defined here and initialised in
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* the InitialiseParameters() (which is just 20 lines down)
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*/
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float covTimeStepMax; // maximum time allowed between covariance predictions
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float covDelAngMax; // maximum delta angle between covariance predictions
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float rngFinderPitch; // pitch angle of laser range finder in radians. Zero is aligned with the Z body axis. Positive is RH rotation about Y body axis.
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float yawVarScale;
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float windVelSigma;
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float dAngBiasSigma;
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float dVelBiasSigma;
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float magEarthSigma;
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float magBodySigma;
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float gndHgtSigma;
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float vneSigma;
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float vdSigma;
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float posNeSigma;
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float posDSigma;
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float magMeasurementSigma;
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float airspeedMeasurementSigma;
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float gyroProcessNoise;
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float accelProcessNoise;
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float EAS2TAS; // ratio f true to equivalent airspeed
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void InitialiseParameters()
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{
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covTimeStepMax = 0.07f; // maximum time allowed between covariance predictions
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covDelAngMax = 0.02f; // maximum delta angle between covariance predictions
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rngFinderPitch = 0.0f; // pitch angle of laser range finder in radians. Zero is aligned with the Z body axis. Positive is RH rotation about Y body axis.
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EAS2TAS = 1.0f;
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yawVarScale = 1.0f;
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windVelSigma = 0.1f;
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dAngBiasSigma = 5.0e-7f;
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dVelBiasSigma = 1e-4f;
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magEarthSigma = 3.0e-4f;
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magBodySigma = 3.0e-4f;
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gndHgtSigma = 0.02f; // assume 2% terrain gradient 1-sigma
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vneSigma = 0.2f;
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vdSigma = 0.3f;
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posNeSigma = 2.0f;
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posDSigma = 2.0f;
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magMeasurementSigma = 0.05;
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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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}
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// Global variables
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float KH[n_states][n_states]; // intermediate result used for covariance updates
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float KHP[n_states][n_states]; // intermediate result used for covariance updates
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float P[n_states][n_states]; // covariance matrix
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float Kfusion[n_states]; // Kalman gains
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float states[n_states]; // state matrix
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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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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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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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Vector3f summedDelAng; // summed delta angles about the xyz body axes corrected for errors (rad)
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Vector3f summedDelVel; // summed delta velocities along the XYZ body axes corrected for errors (m/s)
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float accNavMag; // magnitude of navigation accel (- used to adjust GPS obs variance (m/s^2)
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Vector3f earthRateNED; // earths angular rate vector in NED (rad/s)
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Vector3f angRate; // angular rate vector in XYZ body axes measured by the IMU (rad/s)
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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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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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float velNED[3]; // North, East, Down velocity obs (m/s)
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float posNE[2]; // North, East position obs (m)
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float hgtMea; // measured height (m)
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float posNED[3]; // North, East Down position (m)
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float innovMag[3]; // innovation output
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float varInnovMag[3]; // innovation variance output
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Vector3f magData; // magnetometer flux radings in X,Y,Z body axes
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float innovVtas; // innovation output
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float varInnovVtas; // innovation variance output
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float VtasMeas; // true airspeed measurement (m/s)
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float magDeclination;
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float latRef; // WGS-84 latitude of reference point (rad)
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float lonRef; // WGS-84 longitude of reference point (rad)
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float hgtRef; // WGS-84 height of reference point (m)
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Vector3f magBias; // states representing magnetometer bias vector in XYZ body axes
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uint8_t covSkipCount; // Number of state prediction frames (IMU daya updates to skip before doing the covariance prediction
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// GPS input data variables
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float gpsCourse;
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float gpsVelD;
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float gpsLat;
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float gpsLon;
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float gpsHgt;
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uint8_t GPSstatus;
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// Baro input
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float baroHgt;
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bool statesInitialised;
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bool fuseVelData; // this boolean causes the posNE and velNED obs to be fused
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bool fusePosData; // this boolean causes the posNE and velNED obs to be fused
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bool fuseHgtData; // this boolean causes the hgtMea obs to be fused
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bool fuseMagData; // boolean true when magnetometer data is to be fused
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bool fuseVtasData; // boolean true when airspeed data is to be fused
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bool onGround; ///< boolean true when the flight vehicle is on the ground (not flying)
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bool staticMode; ///< boolean true if no position feedback is fused
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bool useAirspeed; ///< boolean true if airspeed data is being used
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bool useCompass; ///< boolean true if magnetometer data is being used
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struct ekf_status_report current_ekf_state;
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struct ekf_status_report last_ekf_error;
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bool numericalProtection;
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unsigned storeIndex;
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void UpdateStrapdownEquationsNED();
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void CovariancePrediction(float dt);
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void FuseVelposNED();
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void FuseMagnetometer();
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void FuseAirspeed();
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void zeroRows(float (&covMat)[n_states][n_states], uint8_t first, uint8_t last);
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void zeroCols(float (&covMat)[n_states][n_states], uint8_t first, uint8_t last);
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void quatNorm(float (&quatOut)[4], const float quatIn[4]);
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// store staes along with system time stamp in msces
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void StoreStates(uint64_t timestamp_ms);
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/**
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* Recall the state vector.
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*
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* Recalls the vector stored at closest time to the one specified by msec
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*
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* @return zero on success, integer indicating the number of invalid states on failure.
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* Does only copy valid states, if the statesForFusion vector was initialized
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* correctly by the caller, the result can be safely used, but is a mixture
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* time-wise where valid states were updated and invalid remained at the old
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* value.
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*/
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int RecallStates(float statesForFusion[n_states], uint64_t msec);
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void ResetStoredStates();
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void quat2Tbn(Mat3f &Tbn, const float (&quat)[4]);
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void calcEarthRateNED(Vector3f &omega, float latitude);
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static void eul2quat(float (&quat)[4], const float (&eul)[3]);
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static void quat2eul(float (&eul)[3], const float (&quat)[4]);
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static void calcvelNED(float (&velNED)[3], float gpsCourse, float gpsGndSpd, float gpsVelD);
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static void calcposNED(float (&posNED)[3], float lat, float lon, float hgt, float latRef, float lonRef, float hgtRef);
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static void calcLLH(float (&posNED)[3], float lat, float lon, float hgt, float latRef, float lonRef, float hgtRef);
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static void quat2Tnb(Mat3f &Tnb, const float (&quat)[4]);
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static float sq(float valIn);
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void OnGroundCheck();
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void CovarianceInit();
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void InitialiseFilter(float (&initvelNED)[3], double referenceLat, double referenceLon, float referenceHgt, float declination);
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float ConstrainFloat(float val, float min, float max);
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void ConstrainVariances();
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void ConstrainStates();
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void ForceSymmetry();
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int CheckAndBound();
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void ResetPosition();
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void ResetVelocity();
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void ZeroVariables();
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void GetFilterState(struct ekf_status_report *state);
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void GetLastErrorState(struct ekf_status_report *last_error);
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bool StatesNaN(struct ekf_status_report *err_report);
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void FillErrorReport(struct ekf_status_report *err);
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void InitializeDynamic(float (&initvelNED)[3], float declination);
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protected:
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bool FilterHealthy();
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void ResetHeight(void);
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void AttitudeInit(float ax, float ay, float az, float mx, float my, float mz, float declination, float *initQuat);
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};
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uint32_t millis();
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File diff suppressed because one or more lines are too long
@ -2,7 +2,7 @@
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#include "estimator_utilities.h"
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const unsigned int n_states = 23;
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const unsigned int n_states = 22;
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const unsigned int data_buffer_size = 50;
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class AttPosEKF {
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@ -29,10 +29,6 @@ public:
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float covDelAngMax; // maximum delta angle between covariance predictions
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float rngFinderPitch; // pitch angle of laser range finder in radians. Zero is aligned with the Z body axis. Positive is RH rotation about Y body axis.
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float a1; // optical flow sensor misalgnment angle about X axis (rad)
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float a2; // optical flow sensor misalgnment angle about Y axis (rad)
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float a3; // optical flow sensor misalgnment angle about Z axis (rad)
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float yawVarScale;
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float windVelSigma;
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float dAngBiasSigma;
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@ -59,9 +55,6 @@ public:
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covDelAngMax = 0.02f; // maximum delta angle between covariance predictions
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rngFinderPitch = 0.0f; // pitch angle of laser range finder in radians. Zero is aligned with the Z body axis. Positive is RH rotation about Y body axis.
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EAS2TAS = 1.0f;
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a1 = 0.0f; // optical flow sensor misalgnment angle about X axis (rad)
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a2 = 0.0f; // optical flow sensor misalgnment angle about Y axis (rad)
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a3 = 0.0f; // optical flow sensor misalgnment angle about Z axis (rad)
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yawVarScale = 1.0f;
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windVelSigma = 0.1f;
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@ -69,7 +62,6 @@ public:
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dVelBiasSigma = 1e-4f;
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magEarthSigma = 3.0e-4f;
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magBodySigma = 3.0e-4f;
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gndHgtSigma = 0.02f; // assume 2% terrain gradient 1-sigma
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vneSigma = 0.2f;
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vdSigma = 0.3f;
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@ -82,12 +74,13 @@ public:
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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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R_LOS = 0.3f; // 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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rngInnovGate = 5.0f; // number of standard deviations applied to the range finder innovation consistency check
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minFlowRng = 0.3f; //minimum range between ground and flow sensor
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moCompR_LOS = 0.0; // 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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@ -134,6 +127,7 @@ public:
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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 statesAtFlowTime[n_states]; // States at the effective optical flow measurement time
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float omegaAcrossFlowTime[3]; // angular rates 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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@ -145,7 +139,7 @@ public:
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Vector3f lastGyroOffset; // Last gyro offset
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Vector3f delAngTotal;
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Mat3f Tbn; // transformation matrix from body to NED coordinates
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Mat3f Tbn; // transformation matrix from body to NED coordinatesFuseOptFlow
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Mat3f Tnb; // transformation amtrix from NED to body coordinates
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Vector3f accel; // acceleration vector in XYZ body axes measured by the IMU (m/s^2)
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@ -157,10 +151,6 @@ public:
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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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@ -175,7 +165,8 @@ public:
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float innovMag[3]; // innovation output
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float varInnovMag[3]; // innovation variance output
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Vector3f magData; // magnetometer flux radings in X,Y,Z body axes
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float losData[2]; // optical flow LOS rate measurements (rad/sec)
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float flowRadXYcomp[2]; // motion compensated optical flow angular rates(rad/sec)
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float flowRadXY[2]; // raw (non motion compensated) optical flow angular rates (rad/sec)
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float innovVtas; // innovation output
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float innovRng; ///< Range finder innovation
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float innovOptFlow[2]; // optical flow LOS innovations (rad/sec)
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@ -190,6 +181,8 @@ public:
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bool refSet; ///< flag to indicate if the reference position has been set
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Vector3f magBias; // states representing magnetometer bias vector in XYZ body axes
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unsigned covSkipCount; // Number of state prediction frames (IMU daya updates to skip before doing the covariance prediction
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uint32_t lastFixTime_ms; // Number of msec since last GPS Fix that was used
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uint32_t globalTimeStamp_ms; // time in msec of current prediction cycle
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// GPS input data variables
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double gpsLat;
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@ -217,6 +210,7 @@ public:
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bool onGround; ///< boolean true when the flight vehicle is on the ground (not flying)
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bool staticMode; ///< boolean true if no position feedback is fused
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bool useGPS; // boolean true if GPS data is being used
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bool useAirspeed; ///< boolean true if airspeed data is being used
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bool useCompass; ///< boolean true if magnetometer data is being used
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bool useRangeFinder; ///< true when rangefinder is being used
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@ -267,11 +261,9 @@ void FuseMagnetometer();
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void FuseAirspeed();
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void FuseRangeFinder();
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void FuseOptFlow();
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void GroundEKF();
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void OpticalFlowEKF();
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void zeroRows(float (&covMat)[n_states][n_states], uint8_t first, uint8_t last);
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@ -286,7 +278,7 @@ void StoreStates(uint64_t timestamp_ms);
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* Recall the state vector.
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*
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* Recalls the vector stored at closest time to the one specified by msec
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*
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*FuseOptFlow
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* @return zero on success, integer indicating the number of invalid states on failure.
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* Does only copy valid states, if the statesForFusion vector was initialized
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* correctly by the caller, the result can be safely used, but is a mixture
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@ -295,6 +287,8 @@ void StoreStates(uint64_t timestamp_ms);
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*/
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int RecallStates(float *statesForFusion, uint64_t msec);
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void RecallOmega(float *omegaForFusion, uint64_t msec);
|
||||
|
||||
void ResetStoredStates();
|
||||
|
||||
void quat2Tbn(Mat3f &TBodyNed, const float (&quat)[4]);
|
||||
@ -325,7 +319,7 @@ void CovarianceInit();
|
||||
|
||||
void InitialiseFilter(float (&initvelNED)[3], double referenceLat, double referenceLon, float referenceHgt, float declination);
|
||||
|
||||
float ConstrainFloat(float val, float min, float max);
|
||||
float ConstrainFloat(float val, float min, float maxf);
|
||||
|
||||
void ConstrainVariances();
|
||||
|
||||
@ -39,7 +39,7 @@ MODULE_COMMAND = ekf_att_pos_estimator
|
||||
|
||||
SRCS = ekf_att_pos_estimator_main.cpp \
|
||||
ekf_att_pos_estimator_params.c \
|
||||
estimator_23states.cpp \
|
||||
estimator_22states.cpp \
|
||||
estimator_utilities.cpp
|
||||
|
||||
EXTRACXXFLAGS = -Weffc++ -Wframe-larger-than=6100
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user