mirror of
https://github.com/ArduPilot/ardupilot
synced 2025-01-09 01:18:29 -04:00
AP_NavEKF2: add numerical error checking and isolation to mag decl fusion
This commit is contained in:
parent
b325c5faeb
commit
6eb9d43507
@ -941,18 +941,6 @@ void NavEKF2_core::FuseDeclination()
|
|||||||
innovation = -0.5f;
|
innovation = -0.5f;
|
||||||
}
|
}
|
||||||
|
|
||||||
// zero the attitude error state - by definition it is assumed to be zero before each observaton fusion
|
|
||||||
stateStruct.angErr.zero();
|
|
||||||
|
|
||||||
// correct the state vector
|
|
||||||
for (uint8_t j= 0; j<=stateIndexLim; j++) {
|
|
||||||
statesArray[j] = statesArray[j] - Kfusion[j] * innovation;
|
|
||||||
}
|
|
||||||
|
|
||||||
// the first 3 states represent the angular misalignment vector. This is
|
|
||||||
// is used to correct the estimated quaternion on the current time step
|
|
||||||
stateStruct.quat.rotate(stateStruct.angErr);
|
|
||||||
|
|
||||||
// correct the covariance P = (I - K*H)*P
|
// correct the covariance P = (I - K*H)*P
|
||||||
// take advantage of the empty columns in KH to reduce the
|
// take advantage of the empty columns in KH to reduce the
|
||||||
// number of operations
|
// number of operations
|
||||||
@ -971,17 +959,45 @@ void NavEKF2_core::FuseDeclination()
|
|||||||
KHP[i][j] = KH[i][16] * P[16][j] + KH[i][17] * P[17][j];
|
KHP[i][j] = KH[i][16] * P[16][j] + KH[i][17] * P[17][j];
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
for (unsigned i = 0; i<=stateIndexLim; i++) {
|
|
||||||
for (unsigned j = 0; j<=stateIndexLim; j++) {
|
// Check that we are not going to drive any variances negative and skip the update if so
|
||||||
|
bool healthyFusion = true;
|
||||||
|
for (uint8_t i= 0; i<=stateIndexLim; i++) {
|
||||||
|
if (KHP[i][i] > P[i][i]) {
|
||||||
|
healthyFusion = false;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
if (healthyFusion) {
|
||||||
|
// update the covariance matrix
|
||||||
|
for (uint8_t i= 0; i<=stateIndexLim; i++) {
|
||||||
|
for (uint8_t j= 0; j<=stateIndexLim; j++) {
|
||||||
P[i][j] = P[i][j] - KHP[i][j];
|
P[i][j] = P[i][j] - KHP[i][j];
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
// force the covariance matrix to be symmetrical and limit the variances to prevent
|
// force the covariance matrix to be symmetrical and limit the variances to prevent ill-condiioning.
|
||||||
// ill-condiioning.
|
|
||||||
ForceSymmetry();
|
ForceSymmetry();
|
||||||
ConstrainVariances();
|
ConstrainVariances();
|
||||||
|
|
||||||
|
// zero the attitude error state - by definition it is assumed to be zero before each observaton fusion
|
||||||
|
stateStruct.angErr.zero();
|
||||||
|
|
||||||
|
// correct the state vector
|
||||||
|
for (uint8_t j= 0; j<=stateIndexLim; j++) {
|
||||||
|
statesArray[j] = statesArray[j] - Kfusion[j] * innovation;
|
||||||
|
}
|
||||||
|
|
||||||
|
// the first 3 states represent the angular misalignment vector. This is
|
||||||
|
// is used to correct the estimated quaternion on the current time step
|
||||||
|
stateStruct.quat.rotate(stateStruct.angErr);
|
||||||
|
|
||||||
|
// record fusion health status
|
||||||
|
faultStatus.bad_decl = false;
|
||||||
|
} else {
|
||||||
|
// record fusion health status
|
||||||
|
faultStatus.bad_decl = true;
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
/********************************************************
|
/********************************************************
|
||||||
|
@ -885,6 +885,7 @@ private:
|
|||||||
bool bad_epos:1;
|
bool bad_epos:1;
|
||||||
bool bad_dpos:1;
|
bool bad_dpos:1;
|
||||||
bool bad_yaw:1;
|
bool bad_yaw:1;
|
||||||
|
bool bad_decl:1;
|
||||||
} faultStatus;
|
} faultStatus;
|
||||||
|
|
||||||
// flags indicating which GPS quality checks are failing
|
// flags indicating which GPS quality checks are failing
|
||||||
|
Loading…
Reference in New Issue
Block a user