Update EKF estimator to most recent version from Paul Riseborough

This commit is contained in:
Lorenz Meier 2014-12-30 12:20:23 +01:00
parent 4942883ddc
commit c82996850b
6 changed files with 487 additions and 2886 deletions

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@ -84,7 +84,7 @@
#include <mathlib/mathlib.h>
#include <mavlink/mavlink_log.h>
#include "estimator_23states.h"
#include "estimator_22states.h"
@ -1371,10 +1371,15 @@ FixedwingEstimator::task_main()
}
if (newRangeData) {
_ekf->fuseRngData = true;
_ekf->useRangeFinder = true;
_ekf->RecallStates(_ekf->statesAtRngTime, (IMUmsec - 100.0f));
_ekf->GroundEKF();
if (_ekf->Tnb.z.z > 0.9f) {
// _ekf->rngMea is set in sensor readout already
_ekf->fuseRngData = true;
_ekf->fuseOptFlowData = false;
_ekf->RecallStates(_ekf->statesAtRngTime, (IMUmsec - 100.0f));
_ekf->OpticalFlowEKF();
_ekf->fuseRngData = false;
}
}
@ -1514,8 +1519,8 @@ FixedwingEstimator::task_main()
if (hrt_elapsed_time(&_wind.timestamp) > 99000) {
_wind.timestamp = _global_pos.timestamp;
_wind.windspeed_north = _ekf->windSpdFiltNorth;
_wind.windspeed_east = _ekf->windSpdFiltEast;
_wind.windspeed_north = _ekf->states[14];
_wind.windspeed_east = _ekf->states[15];
// XXX we need to do something smart about the covariance here
// but we default to the estimate covariance for now
_wind.covariance_north = _ekf->P[14][14];

File diff suppressed because it is too large Load Diff

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@ -1,247 +0,0 @@
#pragma once
#include "estimator_utilities.h"
class AttPosEKF {
public:
AttPosEKF();
~AttPosEKF();
/* ##############################################
*
* M A I N F I L T E R P A R A M E T E R S
*
* ########################################### */
/*
* parameters are defined here and initialised in
* the InitialiseParameters() (which is just 20 lines down)
*/
float covTimeStepMax; // maximum time allowed between covariance predictions
float covDelAngMax; // maximum delta angle between covariance predictions
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.
float yawVarScale;
float windVelSigma;
float dAngBiasSigma;
float dVelBiasSigma;
float magEarthSigma;
float magBodySigma;
float gndHgtSigma;
float vneSigma;
float vdSigma;
float posNeSigma;
float posDSigma;
float magMeasurementSigma;
float airspeedMeasurementSigma;
float gyroProcessNoise;
float accelProcessNoise;
float EAS2TAS; // ratio f true to equivalent airspeed
void InitialiseParameters()
{
covTimeStepMax = 0.07f; // maximum time allowed between covariance predictions
covDelAngMax = 0.02f; // maximum delta angle between covariance predictions
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.
EAS2TAS = 1.0f;
yawVarScale = 1.0f;
windVelSigma = 0.1f;
dAngBiasSigma = 5.0e-7f;
dVelBiasSigma = 1e-4f;
magEarthSigma = 3.0e-4f;
magBodySigma = 3.0e-4f;
gndHgtSigma = 0.02f; // assume 2% terrain gradient 1-sigma
vneSigma = 0.2f;
vdSigma = 0.3f;
posNeSigma = 2.0f;
posDSigma = 2.0f;
magMeasurementSigma = 0.05;
airspeedMeasurementSigma = 1.4f;
gyroProcessNoise = 1.4544411e-2f;
accelProcessNoise = 0.5f;
}
// Global variables
float KH[n_states][n_states]; // intermediate result used for covariance updates
float KHP[n_states][n_states]; // intermediate result used for covariance updates
float P[n_states][n_states]; // covariance matrix
float Kfusion[n_states]; // Kalman gains
float states[n_states]; // state matrix
float storedStates[n_states][data_buffer_size]; // state vectors stored for the last 50 time steps
uint32_t statetimeStamp[data_buffer_size]; // time stamp for each state vector stored
float statesAtVelTime[n_states]; // States at the effective measurement time for posNE and velNED measurements
float statesAtPosTime[n_states]; // States at the effective measurement time for posNE and velNED measurements
float statesAtHgtTime[n_states]; // States at the effective measurement time for the hgtMea measurement
float statesAtMagMeasTime[n_states]; // filter satates at the effective measurement time
float statesAtVtasMeasTime[n_states]; // filter states at the effective measurement time
Vector3f correctedDelAng; // delta angles about the xyz body axes corrected for errors (rad)
Vector3f correctedDelVel; // delta velocities along the XYZ body axes corrected for errors (m/s)
Vector3f summedDelAng; // summed delta angles about the xyz body axes corrected for errors (rad)
Vector3f summedDelVel; // summed delta velocities along the XYZ body axes corrected for errors (m/s)
float accNavMag; // magnitude of navigation accel (- used to adjust GPS obs variance (m/s^2)
Vector3f earthRateNED; // earths angular rate vector in NED (rad/s)
Vector3f angRate; // angular rate vector in XYZ body axes measured by the IMU (rad/s)
Vector3f accel; // acceleration vector in XYZ body axes measured by the IMU (m/s^2)
Vector3f dVelIMU;
Vector3f dAngIMU;
float dtIMU; // time lapsed since the last IMU measurement or covariance update (sec)
uint8_t fusionModeGPS; // 0 = GPS outputs 3D velocity, 1 = GPS outputs 2D velocity, 2 = GPS outputs no velocity
float innovVelPos[6]; // innovation output
float varInnovVelPos[6]; // innovation variance output
float velNED[3]; // North, East, Down velocity obs (m/s)
float posNE[2]; // North, East position obs (m)
float hgtMea; // measured height (m)
float posNED[3]; // North, East Down position (m)
float innovMag[3]; // innovation output
float varInnovMag[3]; // innovation variance output
Vector3f magData; // magnetometer flux radings in X,Y,Z body axes
float innovVtas; // innovation output
float varInnovVtas; // innovation variance output
float VtasMeas; // true airspeed measurement (m/s)
float magDeclination;
float latRef; // WGS-84 latitude of reference point (rad)
float lonRef; // WGS-84 longitude of reference point (rad)
float hgtRef; // WGS-84 height of reference point (m)
Vector3f magBias; // states representing magnetometer bias vector in XYZ body axes
uint8_t covSkipCount; // Number of state prediction frames (IMU daya updates to skip before doing the covariance prediction
// GPS input data variables
float gpsCourse;
float gpsVelD;
float gpsLat;
float gpsLon;
float gpsHgt;
uint8_t GPSstatus;
// Baro input
float baroHgt;
bool statesInitialised;
bool fuseVelData; // this boolean causes the posNE and velNED obs to be fused
bool fusePosData; // this boolean causes the posNE and velNED obs to be fused
bool fuseHgtData; // this boolean causes the hgtMea obs to be fused
bool fuseMagData; // boolean true when magnetometer data is to be fused
bool fuseVtasData; // boolean true when airspeed data is to be fused
bool onGround; ///< boolean true when the flight vehicle is on the ground (not flying)
bool staticMode; ///< boolean true if no position feedback is fused
bool useAirspeed; ///< boolean true if airspeed data is being used
bool useCompass; ///< boolean true if magnetometer data is being used
struct ekf_status_report current_ekf_state;
struct ekf_status_report last_ekf_error;
bool numericalProtection;
unsigned storeIndex;
void UpdateStrapdownEquationsNED();
void CovariancePrediction(float dt);
void FuseVelposNED();
void FuseMagnetometer();
void FuseAirspeed();
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);
void quatNorm(float (&quatOut)[4], const float quatIn[4]);
// store staes along with system time stamp in msces
void StoreStates(uint64_t timestamp_ms);
/**
* Recall the state vector.
*
* Recalls the vector stored at closest time to the one specified by msec
*
* @return zero on success, integer indicating the number of invalid states on failure.
* Does only copy valid states, if the statesForFusion vector was initialized
* correctly by the caller, the result can be safely used, but is a mixture
* time-wise where valid states were updated and invalid remained at the old
* value.
*/
int RecallStates(float statesForFusion[n_states], uint64_t msec);
void ResetStoredStates();
void quat2Tbn(Mat3f &Tbn, const float (&quat)[4]);
void calcEarthRateNED(Vector3f &omega, float latitude);
static void eul2quat(float (&quat)[4], const float (&eul)[3]);
static void quat2eul(float (&eul)[3], const float (&quat)[4]);
static void calcvelNED(float (&velNED)[3], float gpsCourse, float gpsGndSpd, float gpsVelD);
static void calcposNED(float (&posNED)[3], float lat, float lon, float hgt, float latRef, float lonRef, float hgtRef);
static void calcLLH(float (&posNED)[3], float lat, float lon, float hgt, float latRef, float lonRef, float hgtRef);
static void quat2Tnb(Mat3f &Tnb, const float (&quat)[4]);
static float sq(float valIn);
void OnGroundCheck();
void CovarianceInit();
void InitialiseFilter(float (&initvelNED)[3], double referenceLat, double referenceLon, float referenceHgt, float declination);
float ConstrainFloat(float val, float min, float max);
void ConstrainVariances();
void ConstrainStates();
void ForceSymmetry();
int CheckAndBound();
void ResetPosition();
void ResetVelocity();
void ZeroVariables();
void GetFilterState(struct ekf_status_report *state);
void GetLastErrorState(struct ekf_status_report *last_error);
bool StatesNaN(struct ekf_status_report *err_report);
void FillErrorReport(struct ekf_status_report *err);
void InitializeDynamic(float (&initvelNED)[3], float declination);
protected:
bool FilterHealthy();
void ResetHeight(void);
void AttitudeInit(float ax, float ay, float az, float mx, float my, float mz, float declination, float *initQuat);
};
uint32_t millis();

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@ -2,7 +2,7 @@
#include "estimator_utilities.h"
const unsigned int n_states = 23;
const unsigned int n_states = 22;
const unsigned int data_buffer_size = 50;
class AttPosEKF {
@ -29,10 +29,6 @@ public:
float covDelAngMax; // maximum delta angle between covariance predictions
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.
float a1; // optical flow sensor misalgnment angle about X axis (rad)
float a2; // optical flow sensor misalgnment angle about Y axis (rad)
float a3; // optical flow sensor misalgnment angle about Z axis (rad)
float yawVarScale;
float windVelSigma;
float dAngBiasSigma;
@ -59,9 +55,6 @@ public:
covDelAngMax = 0.02f; // maximum delta angle between covariance predictions
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.
EAS2TAS = 1.0f;
a1 = 0.0f; // optical flow sensor misalgnment angle about X axis (rad)
a2 = 0.0f; // optical flow sensor misalgnment angle about Y axis (rad)
a3 = 0.0f; // optical flow sensor misalgnment angle about Z axis (rad)
yawVarScale = 1.0f;
windVelSigma = 0.1f;
@ -69,7 +62,6 @@ public:
dVelBiasSigma = 1e-4f;
magEarthSigma = 3.0e-4f;
magBodySigma = 3.0e-4f;
gndHgtSigma = 0.02f; // assume 2% terrain gradient 1-sigma
vneSigma = 0.2f;
vdSigma = 0.3f;
@ -82,12 +74,13 @@ public:
accelProcessNoise = 0.5f;
gndHgtSigma = 0.1f; // terrain gradient 1-sigma
R_LOS = 0.03f; // optical flow measurement noise variance (rad/sec)^2
R_LOS = 0.3f; // optical flow measurement noise variance (rad/sec)^2
flowInnovGate = 3.0f; // number of standard deviations applied to the optical flow innovation consistency check
auxFlowInnovGate = 10.0f; // number of standard deviations applied to the optical flow innovation consistency check used by the auxiliary filter
rngInnovGate = 10.0f; // number of standard deviations applied to the rnage finder innovation consistency check
minFlowRng = 0.01f; //minimum range between ground and flow sensor
moCompR_LOS = 0.2; // scaler from sensor gyro rate to uncertainty in LOS rate
rngInnovGate = 5.0f; // number of standard deviations applied to the range finder innovation consistency check
minFlowRng = 0.3f; //minimum range between ground and flow sensor
moCompR_LOS = 0.0; // scaler from sensor gyro rate to uncertainty in LOS rate
}
struct mag_state_struct {
@ -134,6 +127,7 @@ public:
float statesAtVtasMeasTime[n_states]; // filter states at the effective measurement time
float statesAtRngTime[n_states]; // filter states at the effective measurement time
float statesAtFlowTime[n_states]; // States at the effective optical flow measurement time
float omegaAcrossFlowTime[3]; // angular rates at the effective optical flow measurement time
Vector3f correctedDelAng; // delta angles about the xyz body axes corrected for errors (rad)
Vector3f correctedDelVel; // delta velocities along the XYZ body axes corrected for errors (m/s)
@ -145,7 +139,7 @@ public:
Vector3f lastGyroOffset; // Last gyro offset
Vector3f delAngTotal;
Mat3f Tbn; // transformation matrix from body to NED coordinates
Mat3f Tbn; // transformation matrix from body to NED coordinatesFuseOptFlow
Mat3f Tnb; // transformation amtrix from NED to body coordinates
Vector3f accel; // acceleration vector in XYZ body axes measured by the IMU (m/s^2)
@ -157,10 +151,6 @@ public:
float dtVelPosFilt; // average time between position / velocity fusion steps
float dtHgtFilt; // average time between height measurement updates
float dtGpsFilt; // average time between gps measurement updates
float windSpdFiltNorth; // average wind speed north component
float windSpdFiltEast; // average wind speed east component
float windSpdFiltAltitude; // the last altitude used to filter wind speed
float windSpdFiltClimb; // filtered climb rate
uint8_t fusionModeGPS; // 0 = GPS outputs 3D velocity, 1 = GPS outputs 2D velocity, 2 = GPS outputs no velocity
float innovVelPos[6]; // innovation output
float varInnovVelPos[6]; // innovation variance output
@ -175,7 +165,8 @@ public:
float innovMag[3]; // innovation output
float varInnovMag[3]; // innovation variance output
Vector3f magData; // magnetometer flux radings in X,Y,Z body axes
float losData[2]; // optical flow LOS rate measurements (rad/sec)
float flowRadXYcomp[2]; // motion compensated optical flow angular rates(rad/sec)
float flowRadXY[2]; // raw (non motion compensated) optical flow angular rates (rad/sec)
float innovVtas; // innovation output
float innovRng; ///< Range finder innovation
float innovOptFlow[2]; // optical flow LOS innovations (rad/sec)
@ -190,6 +181,8 @@ public:
bool refSet; ///< flag to indicate if the reference position has been set
Vector3f magBias; // states representing magnetometer bias vector in XYZ body axes
unsigned covSkipCount; // Number of state prediction frames (IMU daya updates to skip before doing the covariance prediction
uint32_t lastFixTime_ms; // Number of msec since last GPS Fix that was used
uint32_t globalTimeStamp_ms; // time in msec of current prediction cycle
// GPS input data variables
double gpsLat;
@ -217,6 +210,7 @@ public:
bool onGround; ///< boolean true when the flight vehicle is on the ground (not flying)
bool staticMode; ///< boolean true if no position feedback is fused
bool useGPS; // boolean true if GPS data is being used
bool useAirspeed; ///< boolean true if airspeed data is being used
bool useCompass; ///< boolean true if magnetometer data is being used
bool useRangeFinder; ///< true when rangefinder is being used
@ -267,11 +261,9 @@ void FuseMagnetometer();
void FuseAirspeed();
void FuseRangeFinder();
void FuseOptFlow();
void GroundEKF();
void OpticalFlowEKF();
void zeroRows(float (&covMat)[n_states][n_states], uint8_t first, uint8_t last);
@ -286,7 +278,7 @@ void StoreStates(uint64_t timestamp_ms);
* Recall the state vector.
*
* Recalls the vector stored at closest time to the one specified by msec
*
*FuseOptFlow
* @return zero on success, integer indicating the number of invalid states on failure.
* Does only copy valid states, if the statesForFusion vector was initialized
* correctly by the caller, the result can be safely used, but is a mixture
@ -295,6 +287,8 @@ void StoreStates(uint64_t timestamp_ms);
*/
int RecallStates(float *statesForFusion, uint64_t msec);
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();

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@ -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