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authorLorenz Meier <lm@inf.ethz.ch>2014-04-04 14:39:19 -0700
committerLorenz Meier <lm@inf.ethz.ch>2014-04-04 14:39:19 -0700
commit89817d13665e657ba0a3829eb31142163b0848ae (patch)
tree4d24325779ae230823ad80f686d92add08a4b863 /src
parent2aa9e3bd780ca0d7c97d72c8f3a6973e32ed2cb3 (diff)
parent1e25ceb085a8ca5cd53825a2eb30d9cf69c3a8d9 (diff)
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Merge pull request #794 from PX4/estimator_ram_fix
Move Pauls EKF into a class and instantiate only when / if needed.
Diffstat (limited to 'src')
-rw-r--r--src/modules/fw_att_pos_estimator/estimator.cpp198
-rw-r--r--src/modules/fw_att_pos_estimator/estimator.h190
-rw-r--r--src/modules/fw_att_pos_estimator/fw_att_pos_estimator_main.cpp388
3 files changed, 372 insertions, 404 deletions
diff --git a/src/modules/fw_att_pos_estimator/estimator.cpp b/src/modules/fw_att_pos_estimator/estimator.cpp
index 46e405526..7ab06e85d 100644
--- a/src/modules/fw_att_pos_estimator/estimator.cpp
+++ b/src/modules/fw_att_pos_estimator/estimator.cpp
@@ -2,85 +2,6 @@
#include <string.h>
-// 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
-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; // 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 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
-
-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 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 = 0; // Number of state prediction frames (IMU daya updates to skip before doing the covariance prediction
-float EAS2TAS = 1.0f; // ratio f true to equivalent airspeed
-
-// GPS input data variables
-float gpsCourse;
-float gpsVelD;
-float gpsLat;
-float gpsLon;
-float gpsHgt;
-uint8_t GPSstatus;
-
-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
-
-// Baro input
-float baroHgt;
-
-bool statesInitialised = false;
-
-bool fuseVelData = false; // this boolean causes the posNE and velNED obs to be fused
-bool fusePosData = false; // this boolean causes the posNE and velNED obs to be fused
-bool fuseHgtData = false; // this boolean causes the hgtMea obs to be fused
-bool fuseMagData = false; // boolean true when magnetometer data is to be fused
-bool fuseVtasData = false; // boolean true when airspeed data is to be fused
-
-bool onGround = true; ///< boolean true when the flight vehicle is on the ground (not flying)
-bool staticMode = true; ///< boolean true if no position feedback is fused
-bool useAirspeed = true; ///< boolean true if airspeed data is being used
-bool useCompass = true; ///< boolean true if magnetometer data is being used
-
-struct ekf_status_report current_ekf_state;
-struct ekf_status_report last_ekf_error;
-
-bool numericalProtection = true;
-
-static unsigned storeIndex = 0;
-
float Vector3f::length(void) const
{
return sqrt(x*x + y*y + z*z);
@@ -185,7 +106,16 @@ void swap_var(float &d1, float &d2)
d2 = tmp;
}
-void UpdateStrapdownEquationsNED()
+AttPosEKF::AttPosEKF()
+{
+
+}
+
+AttPosEKF::~AttPosEKF()
+{
+}
+
+void AttPosEKF::UpdateStrapdownEquationsNED()
{
Vector3f delVelNav;
float q00;
@@ -247,7 +177,7 @@ void UpdateStrapdownEquationsNED()
qUpdated[3] = states[0]*deltaQuat[3] + states[3]*deltaQuat[0] + states[1]*deltaQuat[2] - states[2]*deltaQuat[1];
// Normalise the quaternions and update the quaternion states
- quatMag = sqrt(sq(qUpdated[0]) + sq(qUpdated[1]) + sq(qUpdated[2]) + sq(qUpdated[3]));
+ quatMag = sqrtf(sq(qUpdated[0]) + sq(qUpdated[1]) + sq(qUpdated[2]) + sq(qUpdated[3]));
if (quatMag > 1e-16f)
{
float quatMagInv = 1.0f/quatMag;
@@ -312,7 +242,7 @@ void UpdateStrapdownEquationsNED()
ConstrainStates();
}
-void CovariancePrediction(float dt)
+void AttPosEKF::CovariancePrediction(float dt)
{
// scalars
float windVelSigma;
@@ -953,7 +883,7 @@ void CovariancePrediction(float dt)
ConstrainVariances();
}
-void FuseVelposNED()
+void AttPosEKF::FuseVelposNED()
{
// declare variables used by fault isolation logic
@@ -999,8 +929,8 @@ void FuseVelposNED()
observation[5] = -(hgtMea);
// Estimate the GPS Velocity, GPS horiz position and height measurement variances.
- velErr = 0.2*accNavMag; // additional error in GPS velocities caused by manoeuvring
- posErr = 0.2*accNavMag; // additional error in GPS position caused by manoeuvring
+ velErr = 0.2f*accNavMag; // additional error in GPS velocities caused by manoeuvring
+ posErr = 0.2f*accNavMag; // additional error in GPS position caused by manoeuvring
R_OBS[0] = 0.04f + sq(velErr);
R_OBS[1] = R_OBS[0];
R_OBS[2] = 0.08f + sq(velErr);
@@ -1026,7 +956,7 @@ void FuseVelposNED()
varInnovVelPos[i] = P[stateIndex][stateIndex] + R_OBS[i];
}
// apply a 5-sigma threshold
- current_ekf_state.velHealth = (sq(velInnov[0]) + sq(velInnov[1]) + sq(velInnov[2])) < 25.0*(varInnovVelPos[0] + varInnovVelPos[1] + varInnovVelPos[2]);
+ current_ekf_state.velHealth = (sq(velInnov[0]) + sq(velInnov[1]) + sq(velInnov[2])) < 25.0f * (varInnovVelPos[0] + varInnovVelPos[1] + varInnovVelPos[2]);
current_ekf_state.velTimeout = (millis() - current_ekf_state.velFailTime) > horizRetryTime;
if (current_ekf_state.velHealth || current_ekf_state.velTimeout)
{
@@ -1175,7 +1105,7 @@ void FuseVelposNED()
//printf("velh: %s, posh: %s, hgth: %s\n", ((velHealth) ? "OK" : "FAIL"), ((posHealth) ? "OK" : "FAIL"), ((hgtHealth) ? "OK" : "FAIL"));
}
-void FuseMagnetometer()
+void AttPosEKF::FuseMagnetometer()
{
uint8_t obsIndex;
uint8_t indexLimit;
@@ -1482,7 +1412,7 @@ void FuseMagnetometer()
ConstrainVariances();
}
-void FuseAirspeed()
+void AttPosEKF::FuseAirspeed()
{
float vn;
float ve;
@@ -1503,14 +1433,14 @@ void FuseAirspeed()
// Need to check that it is flying before fusing airspeed data
// Calculate the predicted airspeed
- VtasPred = sqrt((ve - vwe)*(ve - vwe) + (vn - vwn)*(vn - vwn) + vd*vd);
+ VtasPred = sqrtf((ve - vwe)*(ve - vwe) + (vn - vwn)*(vn - vwn) + vd*vd);
// Perform fusion of True Airspeed measurement
- if (useAirspeed && fuseVtasData && (VtasPred > 1.0) && (VtasMeas > 8.0))
+ if (useAirspeed && fuseVtasData && (VtasPred > 1.0f) && (VtasMeas > 8.0f))
{
// Calculate observation jacobians
SH_TAS[0] = 1/(sqrt(sq(ve - vwe) + sq(vn - vwn) + sq(vd)));
- SH_TAS[1] = (SH_TAS[0]*(2*ve - 2*vwe))/2;
- SH_TAS[2] = (SH_TAS[0]*(2*vn - 2*vwn))/2;
+ SH_TAS[1] = (SH_TAS[0]*(2.0f*ve - 2*vwe))/2.0f;
+ SH_TAS[2] = (SH_TAS[0]*(2.0f*vn - 2*vwn))/2.0f;
float H_TAS[21];
for (uint8_t i=0; i<=20; i++) H_TAS[i] = 0.0f;
@@ -1611,7 +1541,7 @@ void FuseAirspeed()
ConstrainVariances();
}
-void zeroRows(float (&covMat)[n_states][n_states], uint8_t first, uint8_t last)
+void AttPosEKF::zeroRows(float (&covMat)[n_states][n_states], uint8_t first, uint8_t last)
{
uint8_t row;
uint8_t col;
@@ -1624,7 +1554,7 @@ 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 AttPosEKF::zeroCols(float (&covMat)[n_states][n_states], uint8_t first, uint8_t last)
{
uint8_t row;
uint8_t col;
@@ -1637,13 +1567,13 @@ void zeroCols(float (&covMat)[n_states][n_states], uint8_t first, uint8_t last)
}
}
-float sq(float valIn)
+float AttPosEKF::sq(float valIn)
{
return valIn*valIn;
}
// Store states in a history array along with time stamp
-void StoreStates(uint64_t timestamp_ms)
+void AttPosEKF::StoreStates(uint64_t timestamp_ms)
{
for (unsigned i=0; i<n_states; i++)
storedStates[i][storeIndex] = states[i];
@@ -1653,7 +1583,7 @@ void StoreStates(uint64_t timestamp_ms)
storeIndex = 0;
}
-void ResetStoredStates()
+void AttPosEKF::ResetStoredStates()
{
// reset all stored states
memset(&storedStates[0][0], 0, sizeof(storedStates));
@@ -1674,7 +1604,7 @@ void ResetStoredStates()
}
// Output the state vector stored at the time that best matches that specified by msec
-int RecallStates(float statesForFusion[n_states], uint64_t msec)
+int AttPosEKF::RecallStates(float statesForFusion[n_states], uint64_t msec)
{
int ret = 0;
@@ -1723,7 +1653,7 @@ int RecallStates(float statesForFusion[n_states], uint64_t msec)
return ret;
}
-void quat2Tnb(Mat3f &Tnb, const float (&quat)[4])
+void AttPosEKF::quat2Tnb(Mat3f &Tnb, const float (&quat)[4])
{
// Calculate the nav to body cosine matrix
float q00 = sq(quat[0]);
@@ -1748,7 +1678,7 @@ void quat2Tnb(Mat3f &Tnb, const float (&quat)[4])
Tnb.y.z = 2*(q23 + q01);
}
-void quat2Tbn(Mat3f &Tbn, const float (&quat)[4])
+void AttPosEKF::quat2Tbn(Mat3f &Tbn, const float (&quat)[4])
{
// Calculate the body to nav cosine matrix
float q00 = sq(quat[0]);
@@ -1773,7 +1703,7 @@ void quat2Tbn(Mat3f &Tbn, const float (&quat)[4])
Tbn.z.y = 2*(q23 + q01);
}
-void eul2quat(float (&quat)[4], const float (&eul)[3])
+void AttPosEKF::eul2quat(float (&quat)[4], const float (&eul)[3])
{
float u1 = cos(0.5f*eul[0]);
float u2 = cos(0.5f*eul[1]);
@@ -1787,35 +1717,35 @@ void eul2quat(float (&quat)[4], const float (&eul)[3])
quat[3] = u1*u2*u6-u4*u5*u3;
}
-void quat2eul(float (&y)[3], const float (&u)[4])
+void AttPosEKF::quat2eul(float (&y)[3], const float (&u)[4])
{
- y[0] = atan2((2.0*(u[2]*u[3]+u[0]*u[1])) , (u[0]*u[0]-u[1]*u[1]-u[2]*u[2]+u[3]*u[3]));
- y[1] = -asin(2.0*(u[1]*u[3]-u[0]*u[2]));
- y[2] = atan2((2.0*(u[1]*u[2]+u[0]*u[3])) , (u[0]*u[0]+u[1]*u[1]-u[2]*u[2]-u[3]*u[3]));
+ y[0] = atan2f((2.0f*(u[2]*u[3]+u[0]*u[1])) , (u[0]*u[0]-u[1]*u[1]-u[2]*u[2]+u[3]*u[3]));
+ y[1] = -asinf(2.0f*(u[1]*u[3]-u[0]*u[2]));
+ y[2] = atan2f((2.0f*(u[1]*u[2]+u[0]*u[3])) , (u[0]*u[0]+u[1]*u[1]-u[2]*u[2]-u[3]*u[3]));
}
-void calcvelNED(float (&velNED)[3], float gpsCourse, float gpsGndSpd, float gpsVelD)
+void AttPosEKF::calcvelNED(float (&velNED)[3], float gpsCourse, float gpsGndSpd, float gpsVelD)
{
- velNED[0] = gpsGndSpd*cos(gpsCourse);
- velNED[1] = gpsGndSpd*sin(gpsCourse);
+ velNED[0] = gpsGndSpd*cosf(gpsCourse);
+ velNED[1] = gpsGndSpd*sinf(gpsCourse);
velNED[2] = gpsVelD;
}
-void calcposNED(float (&posNED)[3], float lat, float lon, float hgt, float latRef, float lonRef, float hgtRef)
+void AttPosEKF::calcposNED(float (&posNED)[3], float lat, float lon, float hgt, float latRef, float lonRef, float hgtRef)
{
posNED[0] = earthRadius * (lat - latRef);
posNED[1] = earthRadius * cos(latRef) * (lon - lonRef);
posNED[2] = -(hgt - hgtRef);
}
-void calcLLH(float (&posNED)[3], float lat, float lon, float hgt, float latRef, float lonRef, float hgtRef)
+void AttPosEKF::calcLLH(float (&posNED)[3], float lat, float lon, float hgt, float latRef, float lonRef, float hgtRef)
{
lat = latRef + posNED[0] * earthRadiusInv;
lon = lonRef + posNED[1] * earthRadiusInv / cos(latRef);
hgt = hgtRef - posNED[2];
}
-void OnGroundCheck()
+void AttPosEKF::OnGroundCheck()
{
onGround = (((sq(velNED[0]) + sq(velNED[1]) + sq(velNED[2])) < 4.0f) && (VtasMeas < 8.0f));
if (staticMode) {
@@ -1823,7 +1753,7 @@ void OnGroundCheck()
}
}
-void calcEarthRateNED(Vector3f &omega, float latitude)
+void AttPosEKF::calcEarthRateNED(Vector3f &omega, float latitude)
{
//Define Earth rotation vector in the NED navigation frame
omega.x = earthRate*cosf(latitude);
@@ -1831,13 +1761,13 @@ void calcEarthRateNED(Vector3f &omega, float latitude)
omega.z = -earthRate*sinf(latitude);
}
-void CovarianceInit()
+void AttPosEKF::CovarianceInit()
{
// Calculate the initial covariance matrix P
- P[0][0] = 0.25f*sq(1.0f*deg2rad);
- P[1][1] = 0.25f*sq(1.0f*deg2rad);
- P[2][2] = 0.25f*sq(1.0f*deg2rad);
- P[3][3] = 0.25f*sq(10.0f*deg2rad);
+ P[0][0] = 0.25f * sq(1.0f*deg2rad);
+ P[1][1] = 0.25f * sq(1.0f*deg2rad);
+ P[2][2] = 0.25f * sq(1.0f*deg2rad);
+ P[3][3] = 0.25f * sq(10.0f*deg2rad);
P[4][4] = sq(0.7);
P[5][5] = P[4][4];
P[6][6] = sq(0.7);
@@ -1857,12 +1787,12 @@ void CovarianceInit()
P[20][20] = P[18][18];
}
-float ConstrainFloat(float val, float min, float max)
+float AttPosEKF::ConstrainFloat(float val, float min, float max)
{
return (val > max) ? max : ((val < min) ? min : val);
}
-void ConstrainVariances()
+void AttPosEKF::ConstrainVariances()
{
if (!numericalProtection) {
return;
@@ -1914,7 +1844,7 @@ void ConstrainVariances()
}
-void ConstrainStates()
+void AttPosEKF::ConstrainStates()
{
if (!numericalProtection) {
return;
@@ -1971,7 +1901,7 @@ void ConstrainStates()
}
-void ForceSymmetry()
+void AttPosEKF::ForceSymmetry()
{
if (!numericalProtection) {
return;
@@ -1989,7 +1919,7 @@ void ForceSymmetry()
}
}
-bool FilterHealthy()
+bool AttPosEKF::FilterHealthy()
{
if (!statesInitialised) {
return false;
@@ -2012,7 +1942,7 @@ bool FilterHealthy()
* This resets the position to the last GPS measurement
* or to zero in case of static position.
*/
-void ResetPosition(void)
+void AttPosEKF::ResetPosition(void)
{
if (staticMode) {
states[7] = 0;
@@ -2030,7 +1960,7 @@ void ResetPosition(void)
*
* This resets the height state with the last altitude measurements
*/
-void ResetHeight(void)
+void AttPosEKF::ResetHeight(void)
{
// write to the state vector
states[9] = -hgtMea;
@@ -2039,7 +1969,7 @@ void ResetHeight(void)
/**
* Reset the velocity state.
*/
-void ResetVelocity(void)
+void AttPosEKF::ResetVelocity(void)
{
if (staticMode) {
states[4] = 0.0f;
@@ -2054,7 +1984,7 @@ void ResetVelocity(void)
}
-void FillErrorReport(struct ekf_status_report *err)
+void AttPosEKF::FillErrorReport(struct ekf_status_report *err)
{
for (int i = 0; i < n_states; i++)
{
@@ -2069,7 +1999,7 @@ void FillErrorReport(struct ekf_status_report *err)
err->hgtTimeout = current_ekf_state.hgtTimeout;
}
-bool StatesNaN(struct ekf_status_report *err_report) {
+bool AttPosEKF::StatesNaN(struct ekf_status_report *err_report) {
bool err = false;
// check all states and covariance matrices
@@ -2122,7 +2052,7 @@ bool StatesNaN(struct ekf_status_report *err_report) {
* updated, but before any of the fusion steps are
* executed.
*/
-int CheckAndBound()
+int AttPosEKF::CheckAndBound()
{
// Store the old filter state
@@ -2164,7 +2094,7 @@ int CheckAndBound()
return 0;
}
-void AttitudeInit(float ax, float ay, float az, float mx, float my, float mz, float *initQuat)
+void AttPosEKF::AttitudeInit(float ax, float ay, float az, float mx, float my, float mz, float *initQuat)
{
float initialRoll, initialPitch;
float cosRoll, sinRoll, cosPitch, sinPitch;
@@ -2200,7 +2130,7 @@ void AttitudeInit(float ax, float ay, float az, float mx, float my, float mz, fl
initQuat[3] = cosRoll * cosPitch * sinHeading - sinRoll * sinPitch * cosHeading;
}
-void InitializeDynamic(float (&initvelNED)[3])
+void AttPosEKF::InitializeDynamic(float (&initvelNED)[3])
{
// Clear the init flag
@@ -2254,7 +2184,7 @@ void InitializeDynamic(float (&initvelNED)[3])
summedDelVel.z = 0.0f;
}
-void InitialiseFilter(float (&initvelNED)[3])
+void AttPosEKF::InitialiseFilter(float (&initvelNED)[3])
{
//store initial lat,long and height
latRef = gpsLat;
@@ -2266,7 +2196,7 @@ void InitialiseFilter(float (&initvelNED)[3])
InitializeDynamic(initvelNED);
}
-void ZeroVariables()
+void AttPosEKF::ZeroVariables()
{
// Do the data structure init
for (unsigned i = 0; i < n_states; i++) {
@@ -2292,12 +2222,12 @@ void ZeroVariables()
memset(&current_ekf_state, 0, sizeof(current_ekf_state));
}
-void GetFilterState(struct ekf_status_report *state)
+void AttPosEKF::GetFilterState(struct ekf_status_report *state)
{
memcpy(state, &current_ekf_state, sizeof(state));
}
-void GetLastErrorState(struct ekf_status_report *last_error)
+void AttPosEKF::GetLastErrorState(struct ekf_status_report *last_error)
{
memcpy(last_error, &last_ekf_error, sizeof(last_error));
}
diff --git a/src/modules/fw_att_pos_estimator/estimator.h b/src/modules/fw_att_pos_estimator/estimator.h
index c5a5e9d8d..7edb3c714 100644
--- a/src/modules/fw_att_pos_estimator/estimator.h
+++ b/src/modules/fw_att_pos_estimator/estimator.h
@@ -48,85 +48,10 @@ void swap_var(float &d1, float &d2);
const unsigned int n_states = 21;
const unsigned int data_buffer_size = 50;
-extern uint32_t statetimeStamp[data_buffer_size]; // time stamp for each state vector stored
-extern Vector3f correctedDelAng; // delta angles about the xyz body axes corrected for errors (rad)
-extern Vector3f correctedDelVel; // delta velocities along the XYZ body axes corrected for errors (m/s)
-extern Vector3f summedDelAng; // summed delta angles about the xyz body axes corrected for errors (rad)
-extern Vector3f summedDelVel; // summed delta velocities along the XYZ body axes corrected for errors (m/s)
-extern float accNavMag; // magnitude of navigation accel (- used to adjust GPS obs variance (m/s^2)
-extern Vector3f earthRateNED; // earths angular rate vector in NED (rad/s)
-extern Vector3f angRate; // angular rate vector in XYZ body axes measured by the IMU (rad/s)
-extern Vector3f accel; // acceleration vector in XYZ body axes measured by the IMU (m/s^2)
-extern Vector3f dVelIMU;
-extern Vector3f dAngIMU;
-
-extern float P[n_states][n_states]; // covariance matrix
-extern float Kfusion[n_states]; // Kalman gains
-extern float states[n_states]; // state matrix
-extern float storedStates[n_states][data_buffer_size]; // state vectors stored for the last 50 time steps
-
-extern Vector3f correctedDelAng; // delta angles about the xyz body axes corrected for errors (rad)
-extern Vector3f correctedDelVel; // delta velocities along the XYZ body axes corrected for errors (m/s)
-extern Vector3f summedDelAng; // summed delta angles about the xyz body axes corrected for errors (rad)
-extern Vector3f summedDelVel; // summed delta velocities along the XYZ body axes corrected for errors (m/s)
-
-extern float dtIMU; // time lapsed since the last IMU measurement or covariance update (sec)
-
-extern bool onGround; // boolean true when the flight vehicle is on the ground (not flying)
-extern bool useAirspeed; // boolean true if airspeed data is being used
-extern bool useCompass; // boolean true if magnetometer data is being used
-extern uint8_t fusionModeGPS ; // 0 = GPS outputs 3D velocity, 1 = GPS outputs 2D velocity, 2 = GPS outputs no velocity
-extern float innovVelPos[6]; // innovation output
-extern float varInnovVelPos[6]; // innovation variance output
-
-extern bool fuseVelData; // this boolean causes the posNE and velNED obs to be fused
-extern bool fusePosData; // this boolean causes the posNE and velNED obs to be fused
-extern bool fuseHgtData; // this boolean causes the hgtMea obs to be fused
-extern bool fuseMagData; // boolean true when magnetometer data is to be fused
-
-extern float velNED[3]; // North, East, Down velocity obs (m/s)
-extern float posNE[2]; // North, East position obs (m)
-extern float hgtMea; // measured height (m)
-extern float posNED[3]; // North, East Down position (m)
-
-extern float statesAtVelTime[n_states]; // States at the effective measurement time for posNE and velNED measurements
-extern float statesAtPosTime[n_states]; // States at the effective measurement time for posNE and velNED measurements
-extern float statesAtHgtTime[n_states]; // States at the effective measurement time for the hgtMea measurement
-
-extern float innovMag[3]; // innovation output
-extern float varInnovMag[3]; // innovation variance output
-extern Vector3f magData; // magnetometer flux radings in X,Y,Z body axes
-extern float statesAtMagMeasTime[n_states]; // filter satates at the effective measurement time
-extern float innovVtas; // innovation output
-extern float varInnovVtas; // innovation variance output
-extern bool fuseVtasData; // boolean true when airspeed data is to be fused
-extern float VtasMeas; // true airspeed measurement (m/s)
-extern float statesAtVtasMeasTime[n_states]; // filter states at the effective measurement time
-extern float latRef; // WGS-84 latitude of reference point (rad)
-extern float lonRef; // WGS-84 longitude of reference point (rad)
-extern float hgtRef; // WGS-84 height of reference point (m)
-extern Vector3f magBias; // states representing magnetometer bias vector in XYZ body axes
-extern uint8_t covSkipCount; // Number of state prediction frames (IMU daya updates to skip before doing the covariance prediction
-extern float EAS2TAS; // ratio f true to equivalent airspeed
-
-// GPS input data variables
-extern float gpsCourse;
-extern float gpsVelD;
-extern float gpsLat;
-extern float gpsLon;
-extern float gpsHgt;
-extern uint8_t GPSstatus;
-
-// Baro input
-extern float baroHgt;
-
-extern bool statesInitialised;
-extern bool numericalProtection;
-
const float covTimeStepMax = 0.07f; // maximum time allowed between covariance predictions
const float covDelAngMax = 0.02f; // maximum delta angle between covariance predictions
-extern bool staticMode;
+// extern bool staticMode;
enum GPS_FIX {
GPS_FIX_NOFIX = 0,
@@ -150,6 +75,93 @@ struct ekf_status_report {
bool kalmanGainsNaN;
};
+class AttPosEKF {
+
+public:
+
+ AttPosEKF();
+ ~AttPosEKF();
+
+ // 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; // 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 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 = 0; // Number of state prediction frames (IMU daya updates to skip before doing the covariance prediction
+ float EAS2TAS = 1.0f; // ratio f true to equivalent airspeed
+
+ // GPS input data variables
+ float gpsCourse;
+ float gpsVelD;
+ float gpsLat;
+ float gpsLon;
+ float gpsHgt;
+ uint8_t GPSstatus;
+
+ // Baro input
+ float baroHgt;
+
+ bool statesInitialised = false;
+
+ bool fuseVelData = false; // this boolean causes the posNE and velNED obs to be fused
+ bool fusePosData = false; // this boolean causes the posNE and velNED obs to be fused
+ bool fuseHgtData = false; // this boolean causes the hgtMea obs to be fused
+ bool fuseMagData = false; // boolean true when magnetometer data is to be fused
+ bool fuseVtasData = false; // boolean true when airspeed data is to be fused
+
+ bool onGround = true; ///< boolean true when the flight vehicle is on the ground (not flying)
+ bool staticMode = true; ///< boolean true if no position feedback is fused
+ bool useAirspeed = true; ///< boolean true if airspeed data is being used
+ bool useCompass = true; ///< boolean true if magnetometer data is being used
+
+ struct ekf_status_report current_ekf_state;
+ struct ekf_status_report last_ekf_error;
+
+ bool numericalProtection = true;
+
+ unsigned storeIndex = 0;
+
+
void UpdateStrapdownEquationsNED();
void CovariancePrediction(float dt);
@@ -164,8 +176,6 @@ 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);
-float sq(float valIn);
-
void quatNorm(float (&quatOut)[4], const float quatIn[4]);
// store staes along with system time stamp in msces
@@ -190,15 +200,19 @@ void quat2Tbn(Mat3f &Tbn, const float (&quat)[4]);
void calcEarthRateNED(Vector3f &omega, float latitude);
-void eul2quat(float (&quat)[4], const float (&eul)[3]);
+static void eul2quat(float (&quat)[4], const float (&eul)[3]);
+
+static void quat2eul(float (&eul)[3], const float (&quat)[4]);
-void quat2eul(float (&eul)[3], const float (&quat)[4]);
+static void calcvelNED(float (&velNED)[3], float gpsCourse, float gpsGndSpd, float gpsVelD);
-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);
-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);
-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();
@@ -231,5 +245,15 @@ void FillErrorReport(struct ekf_status_report *err);
void InitializeDynamic(float (&initvelNED)[3]);
+protected:
+
+bool FilterHealthy();
+
+void ResetHeight(void);
+
+void AttitudeInit(float ax, float ay, float az, float mx, float my, float mz, float *initQuat);
+
+};
+
uint32_t millis();
diff --git a/src/modules/fw_att_pos_estimator/fw_att_pos_estimator_main.cpp b/src/modules/fw_att_pos_estimator/fw_att_pos_estimator_main.cpp
index c9d75bce4..840cd585e 100644
--- a/src/modules/fw_att_pos_estimator/fw_att_pos_estimator_main.cpp
+++ b/src/modules/fw_att_pos_estimator/fw_att_pos_estimator_main.cpp
@@ -124,6 +124,16 @@ public:
*/
int start();
+ /**
+ * Print the current status.
+ */
+ void print_status();
+
+ /**
+ * Trip the filter by feeding it NaN values.
+ */
+ int trip_nan();
+
private:
bool _task_should_exit; /**< if true, sensor task should exit */
@@ -199,6 +209,7 @@ private:
param_t tas_delay_ms;
} _parameter_handles; /**< handles for interesting parameters */
+ AttPosEKF *_ekf;
/**
* Update our local parameter cache.
@@ -280,7 +291,8 @@ FixedwingEstimator::FixedwingEstimator() :
/* states */
_initialized(false),
_gps_initialized(false),
- _mavlink_fd(-1)
+ _mavlink_fd(-1),
+ _ekf(nullptr)
{
_mavlink_fd = open(MAVLINK_LOG_DEVICE, 0);
@@ -384,6 +396,12 @@ void
FixedwingEstimator::task_main()
{
+ _ekf = new AttPosEKF();
+
+ if (!_ekf) {
+ errx(1, "failed allocating EKF filter - out of RAM!");
+ }
+
/*
* do subscriptions
*/
@@ -414,23 +432,23 @@ FixedwingEstimator::task_main()
parameters_update();
/* set initial filter state */
- fuseVelData = false;
- fusePosData = false;
- fuseHgtData = false;
- fuseMagData = false;
- fuseVtasData = false;
- statesInitialised = false;
+ _ekf->fuseVelData = false;
+ _ekf->fusePosData = false;
+ _ekf->fuseHgtData = false;
+ _ekf->fuseMagData = false;
+ _ekf->fuseVtasData = false;
+ _ekf->statesInitialised = false;
/* initialize measurement data */
- VtasMeas = 0.0f;
+ _ekf->VtasMeas = 0.0f;
Vector3f lastAngRate = {0.0f, 0.0f, 0.0f};
Vector3f lastAccel = {0.0f, 0.0f, -9.81f};
- dVelIMU.x = 0.0f;
- dVelIMU.y = 0.0f;
- dVelIMU.z = 0.0f;
- dAngIMU.x = 0.0f;
- dAngIMU.y = 0.0f;
- dAngIMU.z = 0.0f;
+ _ekf->dVelIMU.x = 0.0f;
+ _ekf->dVelIMU.y = 0.0f;
+ _ekf->dVelIMU.z = 0.0f;
+ _ekf->dAngIMU.x = 0.0f;
+ _ekf->dAngIMU.y = 0.0f;
+ _ekf->dAngIMU.z = 0.0f;
/* wakeup source(s) */
struct pollfd fds[2];
@@ -509,7 +527,7 @@ FixedwingEstimator::task_main()
}
last_sensor_timestamp = _gyro.timestamp;
- IMUmsec = _gyro.timestamp / 1e3f;
+ _ekf.IMUmsec = _gyro.timestamp / 1e3f;
float deltaT = (_gyro.timestamp - last_run) / 1e6f;
last_run = _gyro.timestamp;
@@ -521,20 +539,20 @@ FixedwingEstimator::task_main()
// Always store data, independent of init status
/* fill in last data set */
- dtIMU = deltaT;
+ _ekf->dtIMU = deltaT;
- angRate.x = _gyro.x;
- angRate.y = _gyro.y;
- angRate.z = _gyro.z;
+ _ekf->angRate.x = _gyro.x;
+ _ekf->angRate.y = _gyro.y;
+ _ekf->angRate.z = _gyro.z;
- accel.x = _accel.x;
- accel.y = _accel.y;
- accel.z = _accel.z;
+ _ekf->accel.x = _accel.x;
+ _ekf->accel.y = _accel.y;
+ _ekf->accel.z = _accel.z;
- dAngIMU = 0.5f * (angRate + lastAngRate) * dtIMU;
- lastAngRate = angRate;
- dVelIMU = 0.5f * (accel + lastAccel) * dtIMU;
- lastAccel = accel;
+ _ekf->dAngIMU = 0.5f * (angRate + lastAngRate) * dtIMU;
+ _ekf->lastAngRate = angRate;
+ _ekf->dVelIMU = 0.5f * (accel + lastAccel) * dtIMU;
+ _ekf->lastAccel = accel;
#else
@@ -563,20 +581,20 @@ FixedwingEstimator::task_main()
// Always store data, independent of init status
/* fill in last data set */
- dtIMU = deltaT;
+ _ekf->dtIMU = deltaT;
- angRate.x = _sensor_combined.gyro_rad_s[0];
- angRate.y = _sensor_combined.gyro_rad_s[1];
- angRate.z = _sensor_combined.gyro_rad_s[2];
+ _ekf->angRate.x = _sensor_combined.gyro_rad_s[0];
+ _ekf->angRate.y = _sensor_combined.gyro_rad_s[1];
+ _ekf->angRate.z = _sensor_combined.gyro_rad_s[2];
- accel.x = _sensor_combined.accelerometer_m_s2[0];
- accel.y = _sensor_combined.accelerometer_m_s2[1];
- accel.z = _sensor_combined.accelerometer_m_s2[2];
+ _ekf->accel.x = _sensor_combined.accelerometer_m_s2[0];
+ _ekf->accel.y = _sensor_combined.accelerometer_m_s2[1];
+ _ekf->accel.z = _sensor_combined.accelerometer_m_s2[2];
- dAngIMU = 0.5f * (angRate + lastAngRate) * dtIMU;
- lastAngRate = angRate;
- dVelIMU = 0.5f * (accel + lastAccel) * dtIMU;
- lastAccel = accel;
+ _ekf->dAngIMU = 0.5f * (_ekf->angRate + lastAngRate) * _ekf->dtIMU;
+ lastAngRate = _ekf->angRate;
+ _ekf->dVelIMU = 0.5f * (_ekf->accel + lastAccel) * _ekf->dtIMU;
+ lastAccel = _ekf->accel;
if (last_mag != _sensor_combined.magnetometer_timestamp) {
mag_updated = true;
@@ -597,7 +615,7 @@ FixedwingEstimator::task_main()
orb_copy(ORB_ID(airspeed), _airspeed_sub, &_airspeed);
perf_count(_perf_airspeed);
- VtasMeas = _airspeed.true_airspeed_m_s;
+ _ekf->VtasMeas = _airspeed.true_airspeed_m_s;
newAdsData = true;
} else {
@@ -622,24 +640,24 @@ FixedwingEstimator::task_main()
/* check if we had a GPS outage for a long time */
if (hrt_elapsed_time(&last_gps) > 5 * 1000 * 1000) {
- ResetPosition();
- ResetVelocity();
- ResetStoredStates();
+ _ekf->ResetPosition();
+ _ekf->ResetVelocity();
+ _ekf->ResetStoredStates();
}
/* fuse GPS updates */
//_gps.timestamp / 1e3;
- GPSstatus = _gps.fix_type;
- velNED[0] = _gps.vel_n_m_s;
- velNED[1] = _gps.vel_e_m_s;
- velNED[2] = _gps.vel_d_m_s;
+ _ekf->GPSstatus = _gps.fix_type;
+ _ekf->velNED[0] = _gps.vel_n_m_s;
+ _ekf->velNED[1] = _gps.vel_e_m_s;
+ _ekf->velNED[2] = _gps.vel_d_m_s;
// warnx("GPS updated: status: %d, vel: %8.4f %8.4f %8.4f", (int)GPSstatus, velNED[0], velNED[1], velNED[2]);
- gpsLat = math::radians(_gps.lat / (double)1e7);
- gpsLon = math::radians(_gps.lon / (double)1e7) - M_PI;
- gpsHgt = _gps.alt / 1e3f;
+ _ekf->gpsLat = math::radians(_gps.lat / (double)1e7);
+ _ekf->gpsLon = math::radians(_gps.lon / (double)1e7) - M_PI;
+ _ekf->gpsHgt = _gps.alt / 1e3f;
newDataGps = true;
}
@@ -652,10 +670,10 @@ FixedwingEstimator::task_main()
if (baro_updated) {
orb_copy(ORB_ID(sensor_baro), _baro_sub, &_baro);
- baroHgt = _baro.altitude - _baro_ref;
+ _ekf->baroHgt = _baro.altitude - _baro_ref;
// Could use a blend of GPS and baro alt data if desired
- hgtMea = 1.0f * baroHgt + 0.0f * gpsHgt;
+ _ekf->hgtMea = 1.0f * _ekf->baroHgt + 0.0f * _ekf->gpsHgt;
}
#ifndef SENSOR_COMBINED_SUB
@@ -671,27 +689,27 @@ FixedwingEstimator::task_main()
// XXX we compensate the offsets upfront - should be close to zero.
// 0.001f
- magData.x = _mag.x;
- magBias.x = 0.000001f; // _mag_offsets.x_offset
+ _ekf->magData.x = _mag.x;
+ _ekf->magBias.x = 0.000001f; // _mag_offsets.x_offset
- magData.y = _mag.y;
- magBias.y = 0.000001f; // _mag_offsets.y_offset
+ _ekf->magData.y = _mag.y;
+ _ekf->magBias.y = 0.000001f; // _mag_offsets.y_offset
- magData.z = _mag.z;
- magBias.z = 0.000001f; // _mag_offsets.y_offset
+ _ekf->magData.z = _mag.z;
+ _ekf->magBias.z = 0.000001f; // _mag_offsets.y_offset
#else
// XXX we compensate the offsets upfront - should be close to zero.
// 0.001f
- magData.x = _sensor_combined.magnetometer_ga[0];
- magBias.x = 0.000001f; // _mag_offsets.x_offset
+ _ekf->magData.x = _sensor_combined.magnetometer_ga[0];
+ _ekf->magBias.x = 0.000001f; // _mag_offsets.x_offset
- magData.y = _sensor_combined.magnetometer_ga[1];
- magBias.y = 0.000001f; // _mag_offsets.y_offset
+ _ekf->magData.y = _sensor_combined.magnetometer_ga[1];
+ _ekf->magBias.y = 0.000001f; // _mag_offsets.y_offset
- magData.z = _sensor_combined.magnetometer_ga[2];
- magBias.z = 0.000001f; // _mag_offsets.y_offset
+ _ekf->magData.z = _sensor_combined.magnetometer_ga[2];
+ _ekf->magBias.z = 0.000001f; // _mag_offsets.y_offset
#endif
@@ -705,7 +723,7 @@ FixedwingEstimator::task_main()
/**
* CHECK IF THE INPUT DATA IS SANE
*/
- int check = CheckAndBound();
+ int check = _ekf->CheckAndBound();
switch (check) {
case 0:
@@ -739,7 +757,7 @@ FixedwingEstimator::task_main()
struct ekf_status_report ekf_report;
- GetLastErrorState(&ekf_report);
+ _ekf->GetLastErrorState(&ekf_report);
struct estimator_status_report rep;
memset(&rep, 0, sizeof(rep));
@@ -779,16 +797,16 @@ FixedwingEstimator::task_main()
if (hrt_elapsed_time(&start_time) > 100000) {
- if (!_gps_initialized && (GPSstatus == 3)) {
- velNED[0] = _gps.vel_n_m_s;
- velNED[1] = _gps.vel_e_m_s;
- velNED[2] = _gps.vel_d_m_s;
+ if (!_gps_initialized && (_ekf->GPSstatus == 3)) {
+ _ekf->velNED[0] = _gps.vel_n_m_s;
+ _ekf->velNED[1] = _gps.vel_e_m_s;
+ _ekf->velNED[2] = _gps.vel_d_m_s;
double lat = _gps.lat * 1e-7;
double lon = _gps.lon * 1e-7;
float alt = _gps.alt * 1e-3;
- InitialiseFilter(velNED);
+ _ekf->InitialiseFilter(_ekf->velNED);
// Initialize projection
_local_pos.ref_lat = _gps.lat;
@@ -799,7 +817,7 @@ FixedwingEstimator::task_main()
// Store
orb_copy(ORB_ID(sensor_baro), _baro_sub, &_baro);
_baro_ref = _baro.altitude;
- baroHgt = _baro.altitude - _baro_ref;
+ _ekf->baroHgt = _baro.altitude - _baro_ref;
_baro_gps_offset = _baro_ref - _local_pos.ref_alt;
// XXX this is not multithreading safe
@@ -808,24 +826,24 @@ FixedwingEstimator::task_main()
_gps_initialized = true;
- } else if (!statesInitialised) {
- velNED[0] = 0.0f;
- velNED[1] = 0.0f;
- velNED[2] = 0.0f;
- posNED[0] = 0.0f;
- posNED[1] = 0.0f;
- posNED[2] = 0.0f;
-
- posNE[0] = posNED[0];
- posNE[1] = posNED[1];
- InitialiseFilter(velNED);
+ } else if (!_ekf->statesInitialised) {
+ _ekf->velNED[0] = 0.0f;
+ _ekf->velNED[1] = 0.0f;
+ _ekf->velNED[2] = 0.0f;
+ _ekf->posNED[0] = 0.0f;
+ _ekf->posNED[1] = 0.0f;
+ _ekf->posNED[2] = 0.0f;
+
+ _ekf->posNE[0] = _ekf->posNED[0];
+ _ekf->posNE[1] = _ekf->posNED[1];
+ _ekf->InitialiseFilter(_ekf->velNED);
}
}
// If valid IMU data and states initialised, predict states and covariances
- if (statesInitialised) {
+ if (_ekf->statesInitialised) {
// Run the strapdown INS equations every IMU update
- UpdateStrapdownEquationsNED();
+ _ekf->UpdateStrapdownEquationsNED();
#if 0
// debug code - could be tunred into a filter mnitoring/watchdog function
float tempQuat[4];
@@ -842,20 +860,20 @@ FixedwingEstimator::task_main()
#endif
// store the predicted states for subsequent use by measurement fusion
- StoreStates(IMUmsec);
+ _ekf->StoreStates(IMUmsec);
// Check if on ground - status is used by covariance prediction
- OnGroundCheck();
+ _ekf->OnGroundCheck();
// sum delta angles and time used by covariance prediction
- summedDelAng = summedDelAng + correctedDelAng;
- summedDelVel = summedDelVel + dVelIMU;
- dt += dtIMU;
+ _ekf->summedDelAng = _ekf->summedDelAng + _ekf->correctedDelAng;
+ _ekf->summedDelVel = _ekf->summedDelVel + _ekf->dVelIMU;
+ dt += _ekf->dtIMU;
// perform a covariance prediction if the total delta angle has exceeded the limit
// or the time limit will be exceeded at the next IMU update
- if ((dt >= (covTimeStepMax - dtIMU)) || (summedDelAng.length() > covDelAngMax)) {
- CovariancePrediction(dt);
- summedDelAng = summedDelAng.zero();
- summedDelVel = summedDelVel.zero();
+ if ((dt >= (covTimeStepMax - _ekf->dtIMU)) || (_ekf->summedDelAng.length() > covDelAngMax)) {
+ _ekf->CovariancePrediction(dt);
+ _ekf->summedDelAng = _ekf->summedDelAng.zero();
+ _ekf->summedDelVel = _ekf->summedDelVel.zero();
dt = 0.0f;
}
@@ -865,79 +883,79 @@ FixedwingEstimator::task_main()
// Fuse GPS Measurements
if (newDataGps && _gps_initialized) {
// Convert GPS measurements to Pos NE, hgt and Vel NED
- velNED[0] = _gps.vel_n_m_s;
- velNED[1] = _gps.vel_e_m_s;
- velNED[2] = _gps.vel_d_m_s;
- calcposNED(posNED, gpsLat, gpsLon, gpsHgt, latRef, lonRef, hgtRef);
+ _ekf->velNED[0] = _gps.vel_n_m_s;
+ _ekf->velNED[1] = _gps.vel_e_m_s;
+ _ekf->velNED[2] = _gps.vel_d_m_s;
+ _ekf->calcposNED(_ekf->posNED, _ekf->gpsLat, _ekf->gpsLon, _ekf->gpsHgt, _ekf->latRef, _ekf->lonRef, _ekf->hgtRef);
- posNE[0] = posNED[0];
- posNE[1] = posNED[1];
+ _ekf->posNE[0] = _ekf->posNED[0];
+ _ekf->posNE[1] = _ekf->posNED[1];
// set fusion flags
- fuseVelData = true;
- fusePosData = true;
+ _ekf->fuseVelData = true;
+ _ekf->fusePosData = true;
// recall states stored at time of measurement after adjusting for delays
- RecallStates(statesAtVelTime, (IMUmsec - _parameters.vel_delay_ms));
- RecallStates(statesAtPosTime, (IMUmsec - _parameters.pos_delay_ms));
+ _ekf->RecallStates(_ekf->statesAtVelTime, (IMUmsec - _parameters.vel_delay_ms));
+ _ekf->RecallStates(_ekf->statesAtPosTime, (IMUmsec - _parameters.pos_delay_ms));
// run the fusion step
- FuseVelposNED();
+ _ekf->FuseVelposNED();
- } else if (statesInitialised) {
+ } else if (_ekf->statesInitialised) {
// Convert GPS measurements to Pos NE, hgt and Vel NED
- velNED[0] = 0.0f;
- velNED[1] = 0.0f;
- velNED[2] = 0.0f;
- posNED[0] = 0.0f;
- posNED[1] = 0.0f;
- posNED[2] = 0.0f;
-
- posNE[0] = posNED[0];
- posNE[1] = posNED[1];
+ _ekf->velNED[0] = 0.0f;
+ _ekf->velNED[1] = 0.0f;
+ _ekf->velNED[2] = 0.0f;
+ _ekf->posNED[0] = 0.0f;
+ _ekf->posNED[1] = 0.0f;
+ _ekf->posNED[2] = 0.0f;
+
+ _ekf->posNE[0] = _ekf->posNED[0];
+ _ekf->posNE[1] = _ekf->posNED[1];
// set fusion flags
- fuseVelData = true;
- fusePosData = true;
+ _ekf->fuseVelData = true;
+ _ekf->fusePosData = true;
// recall states stored at time of measurement after adjusting for delays
- RecallStates(statesAtVelTime, (IMUmsec - _parameters.vel_delay_ms));
- RecallStates(statesAtPosTime, (IMUmsec - _parameters.pos_delay_ms));
+ _ekf->RecallStates(_ekf->statesAtVelTime, (IMUmsec - _parameters.vel_delay_ms));
+ _ekf->RecallStates(_ekf->statesAtPosTime, (IMUmsec - _parameters.pos_delay_ms));
// run the fusion step
- FuseVelposNED();
+ _ekf->FuseVelposNED();
} else {
- fuseVelData = false;
- fusePosData = false;
+ _ekf->fuseVelData = false;
+ _ekf->fusePosData = false;
}
- if (newAdsData && statesInitialised) {
+ if (newAdsData && _ekf->statesInitialised) {
// Could use a blend of GPS and baro alt data if desired
- hgtMea = 1.0f * baroHgt + 0.0f * gpsHgt;
- fuseHgtData = true;
+ _ekf->hgtMea = 1.0f * _ekf->baroHgt + 0.0f * _ekf->gpsHgt;
+ _ekf->fuseHgtData = true;
// recall states stored at time of measurement after adjusting for delays
- RecallStates(statesAtHgtTime, (IMUmsec - _parameters.height_delay_ms));
+ _ekf->RecallStates(_ekf->statesAtHgtTime, (IMUmsec - _parameters.height_delay_ms));
// run the fusion step
- FuseVelposNED();
+ _ekf->FuseVelposNED();
} else {
- fuseHgtData = false;
+ _ekf->fuseHgtData = false;
}
// Fuse Magnetometer Measurements
- if (newDataMag && statesInitialised) {
- fuseMagData = true;
- RecallStates(statesAtMagMeasTime, (IMUmsec - _parameters.mag_delay_ms)); // Assume 50 msec avg delay for magnetometer data
+ if (newDataMag && _ekf->statesInitialised) {
+ _ekf->fuseMagData = true;
+ _ekf->RecallStates(_ekf->statesAtMagMeasTime, (IMUmsec - _parameters.mag_delay_ms)); // Assume 50 msec avg delay for magnetometer data
} else {
- fuseMagData = false;
+ _ekf->fuseMagData = false;
}
- if (statesInitialised) FuseMagnetometer();
+ if (_ekf->statesInitialised) _ekf->FuseMagnetometer();
// Fuse Airspeed Measurements
- if (newAdsData && statesInitialised && VtasMeas > 8.0f) {
- fuseVtasData = true;
- RecallStates(statesAtVtasMeasTime, (IMUmsec - _parameters.tas_delay_ms)); // assume 100 msec avg delay for airspeed data
- FuseAirspeed();
+ if (newAdsData && _ekf->statesInitialised && _ekf->VtasMeas > 8.0f) {
+ _ekf->fuseVtasData = true;
+ _ekf->RecallStates(_ekf->statesAtVtasMeasTime, (IMUmsec - _parameters.tas_delay_ms)); // assume 100 msec avg delay for airspeed data
+ _ekf->FuseAirspeed();
} else {
- fuseVtasData = false;
+ _ekf->fuseVtasData = false;
}
// Publish results
@@ -954,7 +972,7 @@ FixedwingEstimator::task_main()
// 15-17: Earth Magnetic Field Vector - milligauss (North, East, Down)
// 18-20: Body Magnetic Field Vector - milligauss (X,Y,Z)
- math::Quaternion q(states[0], states[1], states[2], states[3]);
+ math::Quaternion q(_ekf->states[0], _ekf->states[1], _ekf->states[2], _ekf->states[3]);
math::Matrix<3, 3> R = q.to_dcm();
math::Vector<3> euler = R.to_euler();
@@ -962,10 +980,10 @@ FixedwingEstimator::task_main()
_att.R[i][j] = R(i, j);
_att.timestamp = last_sensor_timestamp;
- _att.q[0] = states[0];
- _att.q[1] = states[1];
- _att.q[2] = states[2];
- _att.q[3] = states[3];
+ _att.q[0] = _ekf->states[0];
+ _att.q[1] = _ekf->states[1];
+ _att.q[2] = _ekf->states[2];
+ _att.q[3] = _ekf->states[3];
_att.q_valid = true;
_att.R_valid = true;
@@ -974,13 +992,13 @@ FixedwingEstimator::task_main()
_att.pitch = euler(1);
_att.yaw = euler(2);
- _att.rollspeed = angRate.x - states[10];
- _att.pitchspeed = angRate.y - states[11];
- _att.yawspeed = angRate.z - states[12];
+ _att.rollspeed = _ekf->angRate.x - _ekf->states[10];
+ _att.pitchspeed = _ekf->angRate.y - _ekf->states[11];
+ _att.yawspeed = _ekf->angRate.z - _ekf->states[12];
// gyro offsets
- _att.rate_offsets[0] = states[10];
- _att.rate_offsets[1] = states[11];
- _att.rate_offsets[2] = states[12];
+ _att.rate_offsets[0] = _ekf->states[10];
+ _att.rate_offsets[1] = _ekf->states[11];
+ _att.rate_offsets[2] = _ekf->states[12];
/* lazily publish the attitude only once available */
if (_att_pub > 0) {
@@ -993,20 +1011,15 @@ FixedwingEstimator::task_main()
}
}
- if (!isfinite(states[0])) {
- print_status();
- _exit(0);
- }
-
if (_gps_initialized) {
_local_pos.timestamp = last_sensor_timestamp;
- _local_pos.x = states[7];
- _local_pos.y = states[8];
- _local_pos.z = states[9];
+ _local_pos.x = _ekf->states[7];
+ _local_pos.y = _ekf->states[8];
+ _local_pos.z = _ekf->states[9];
- _local_pos.vx = states[4];
- _local_pos.vy = states[5];
- _local_pos.vz = states[6];
+ _local_pos.vx = _ekf->states[4];
+ _local_pos.vy = _ekf->states[5];
+ _local_pos.vz = _ekf->states[6];
_local_pos.xy_valid = _gps_initialized;
_local_pos.z_valid = true;
@@ -1107,9 +1120,10 @@ FixedwingEstimator::start()
return OK;
}
-void print_status()
+void
+FixedwingEstimator::print_status()
{
- math::Quaternion q(states[0], states[1], states[2], states[3]);
+ math::Quaternion q(_ekf->states[0], _ekf->states[1], _ekf->states[2], _ekf->states[3]);
math::Matrix<3, 3> R = q.to_dcm();
math::Vector<3> euler = R.to_euler();
@@ -1125,30 +1139,30 @@ void print_status()
// 15-17: Earth Magnetic Field Vector - gauss (North, East, Down)
// 18-20: Body Magnetic Field Vector - gauss (X,Y,Z)
- printf("dtIMU: %8.6f dt: %8.6f IMUmsec: %d\n", dtIMU, dt, (int)IMUmsec);
- printf("dvel: %8.6f %8.6f %8.6f accel: %8.6f %8.6f %8.6f\n", (double)dVelIMU.x, (double)dVelIMU.y, (double)dVelIMU.z, (double)accel.x, (double)accel.y, (double)accel.z);
- printf("dang: %8.4f %8.4f %8.4f dang corr: %8.4f %8.4f %8.4f\n" , (double)dAngIMU.x, (double)dAngIMU.y, (double)dAngIMU.z, (double)correctedDelAng.x, (double)correctedDelAng.y, (double)correctedDelAng.z);
- printf("states (quat) [1-4]: %8.4f, %8.4f, %8.4f, %8.4f\n", (double)states[0], (double)states[1], (double)states[2], (double)states[3]);
- printf("states (vel m/s) [5-7]: %8.4f, %8.4f, %8.4f\n", (double)states[4], (double)states[5], (double)states[6]);
- printf("states (pos m) [8-10]: %8.4f, %8.4f, %8.4f\n", (double)states[7], (double)states[8], (double)states[9]);
- printf("states (delta ang) [11-13]: %8.4f, %8.4f, %8.4f\n", (double)states[10], (double)states[11], (double)states[12]);
- printf("states (wind) [14-15]: %8.4f, %8.4f\n", (double)states[13], (double)states[14]);
- printf("states (earth mag) [16-18]: %8.4f, %8.4f, %8.4f\n", (double)states[15], (double)states[16], (double)states[17]);
- printf("states (body mag) [19-21]: %8.4f, %8.4f, %8.4f\n", (double)states[18], (double)states[19], (double)states[20]);
+ printf("dtIMU: %8.6f dt: %8.6f IMUmsec: %d\n", _ekf->dtIMU, dt, (int)IMUmsec);
+ printf("dvel: %8.6f %8.6f %8.6f accel: %8.6f %8.6f %8.6f\n", (double)_ekf->dVelIMU.x, (double)_ekf->dVelIMU.y, (double)_ekf->dVelIMU.z, (double)_ekf->accel.x, (double)_ekf->accel.y, (double)_ekf->accel.z);
+ printf("dang: %8.4f %8.4f %8.4f dang corr: %8.4f %8.4f %8.4f\n" , (double)_ekf->dAngIMU.x, (double)_ekf->dAngIMU.y, (double)_ekf->dAngIMU.z, (double)_ekf->correctedDelAng.x, (double)_ekf->correctedDelAng.y, (double)_ekf->correctedDelAng.z);
+ printf("states (quat) [1-4]: %8.4f, %8.4f, %8.4f, %8.4f\n", (double)_ekf->states[0], (double)_ekf->states[1], (double)_ekf->states[2], (double)_ekf->states[3]);
+ printf("states (vel m/s) [5-7]: %8.4f, %8.4f, %8.4f\n", (double)_ekf->states[4], (double)_ekf->states[5], (double)_ekf->states[6]);
+ printf("states (pos m) [8-10]: %8.4f, %8.4f, %8.4f\n", (double)_ekf->states[7], (double)_ekf->states[8], (double)_ekf->states[9]);
+ printf("states (delta ang) [11-13]: %8.4f, %8.4f, %8.4f\n", (double)_ekf->states[10], (double)_ekf->states[11], (double)_ekf->states[12]);
+ printf("states (wind) [14-15]: %8.4f, %8.4f\n", (double)_ekf->states[13], (double)_ekf->states[14]);
+ printf("states (earth mag) [16-18]: %8.4f, %8.4f, %8.4f\n", (double)_ekf->states[15], (double)_ekf->states[16], (double)_ekf->states[17]);
+ printf("states (body mag) [19-21]: %8.4f, %8.4f, %8.4f\n", (double)_ekf->states[18], (double)_ekf->states[19], (double)_ekf->states[20]);
printf("states: %s %s %s %s %s %s %s %s %s %s\n",
- (statesInitialised) ? "INITIALIZED" : "NON_INIT",
- (onGround) ? "ON_GROUND" : "AIRBORNE",
- (fuseVelData) ? "FUSE_VEL" : "INH_VEL",
- (fusePosData) ? "FUSE_POS" : "INH_POS",
- (fuseHgtData) ? "FUSE_HGT" : "INH_HGT",
- (fuseMagData) ? "FUSE_MAG" : "INH_MAG",
- (fuseVtasData) ? "FUSE_VTAS" : "INH_VTAS",
- (useAirspeed) ? "USE_AIRSPD" : "IGN_AIRSPD",
- (useCompass) ? "USE_COMPASS" : "IGN_COMPASS",
- (staticMode) ? "STATIC_MODE" : "DYNAMIC_MODE");
+ (_ekf->statesInitialised) ? "INITIALIZED" : "NON_INIT",
+ (_ekf->onGround) ? "ON_GROUND" : "AIRBORNE",
+ (_ekf->fuseVelData) ? "FUSE_VEL" : "INH_VEL",
+ (_ekf->fusePosData) ? "FUSE_POS" : "INH_POS",
+ (_ekf->fuseHgtData) ? "FUSE_HGT" : "INH_HGT",
+ (_ekf->fuseMagData) ? "FUSE_MAG" : "INH_MAG",
+ (_ekf->fuseVtasData) ? "FUSE_VTAS" : "INH_VTAS",
+ (_ekf->useAirspeed) ? "USE_AIRSPD" : "IGN_AIRSPD",
+ (_ekf->useCompass) ? "USE_COMPASS" : "IGN_COMPASS",
+ (_ekf->staticMode) ? "STATIC_MODE" : "DYNAMIC_MODE");
}
-int trip_nan() {
+int FixedwingEstimator::trip_nan() {
int ret = 0;
@@ -1166,7 +1180,7 @@ int trip_nan() {
float nan_val = 0.0f / 0.0f;
warnx("system not armed, tripping state vector with NaN values");
- states[5] = nan_val;
+ _ekf->states[5] = nan_val;
usleep(100000);
// warnx("tripping covariance #1 with NaN values");
@@ -1178,15 +1192,15 @@ int trip_nan() {
// usleep(100000);
warnx("tripping covariance #3 with NaN values");
- P[3][3] = nan_val; // covariance matrix
+ _ekf->P[3][3] = nan_val; // covariance matrix
usleep(100000);
warnx("tripping Kalman gains with NaN values");
- Kfusion[0] = nan_val; // Kalman gains
+ _ekf->Kfusion[0] = nan_val; // Kalman gains
usleep(100000);
warnx("tripping stored states[0] with NaN values");
- storedStates[0][0] = nan_val;
+ _ekf->storedStates[0][0] = nan_val;
usleep(100000);
warnx("\nDONE - FILTER STATE:");
@@ -1234,7 +1248,7 @@ int fw_att_pos_estimator_main(int argc, char *argv[])
if (estimator::g_estimator) {
warnx("running");
- print_status();
+ estimator::g_estimator->print_status();
exit(0);
@@ -1245,7 +1259,7 @@ int fw_att_pos_estimator_main(int argc, char *argv[])
if (!strcmp(argv[1], "trip")) {
if (estimator::g_estimator) {
- int ret = trip_nan();
+ int ret = estimator::g_estimator->trip_nan();
exit(ret);