ardupilot/libraries/AP_NavEKF2/AP_NavEKF2_Control.cpp
Paul Riseborough 9b82b2200c AP_NavEKF2: Fix plane in-flight yaw reset
The copter method was being used for plane and the plane method was not being run due to the change in flight status not being detected.
The plane reset method did not trigger if the EKF had already dragged the velocity states along with the GPS or could align to an incorrect heading.
The method has been reworked so that it resets to the GPS course, but only if there are inconsistent angles and large innovations.
To stop a failed magnetometer causing a loss of yaw reference later in flight, if all available sensors have been tried in flight and timed out, then no further magnetoemter data will be used
2015-11-16 09:05:42 +11:00

271 lines
11 KiB
C++

/// -*- tab-width: 4; Mode: C++; c-basic-offset: 4; indent-tabs-mode: nil -*-
#include <AP_HAL/AP_HAL.h>
#if HAL_CPU_CLASS >= HAL_CPU_CLASS_150
#include "AP_NavEKF2.h"
#include "AP_NavEKF2_core.h"
#include <AP_AHRS/AP_AHRS.h>
#include <AP_Vehicle/AP_Vehicle.h>
#include <stdio.h>
extern const AP_HAL::HAL& hal;
// Control filter mode transitions
void NavEKF2_core::controlFilterModes()
{
// Determine motor arm status
prevMotorsArmed = motorsArmed;
motorsArmed = hal.util->get_soft_armed();
if (motorsArmed && !prevMotorsArmed) {
// set the time at which we arm to assist with checks
timeAtArming_ms = imuSampleTime_ms;
}
// Detect if we are in flight on or ground
detectFlight();
// Determine if learning of wind and magnetic field will be enabled and set corresponding indexing limits to
// avoid unnecessary operations
setWindMagStateLearningMode();
// Check the alignmnent status of the tilt and yaw attitude
// Used during initial bootstrap alignment of the filter
checkAttitudeAlignmentStatus();
// Set the type of inertial navigation aiding used
setAidingMode();
}
// Determine if learning of wind and magnetic field will be enabled and set corresponding indexing limits to
// avoid unnecessary operations
void NavEKF2_core::setWindMagStateLearningMode()
{
// If we are on ground, or in constant position mode, or don't have the right vehicle and sensing to estimate wind, inhibit wind states
inhibitWindStates = ((!useAirspeed() && !assume_zero_sideslip()) || onGround || (PV_AidingMode == AID_NONE));
// determine if the vehicle is manoevring
if (accNavMagHoriz > 0.5f) {
manoeuvring = true;
} else {
manoeuvring = false;
}
// Determine if learning of magnetic field states has been requested by the user
bool magCalRequested =
((frontend->_magCal == 0) && inFlight) || // when flying
((frontend->_magCal == 1) && manoeuvring) || // when manoeuvring
((frontend->_magCal == 3) && firstMagYawInit) || // when initial in-air yaw and field reset has completed
(frontend->_magCal == 4); // all the time
// Deny mag calibration request if we aren't using the compass, it has been inhibited by the user,
// we do not have an absolute position reference or are on the ground (unless explicitly requested by the user)
// If we do nto have absolute position (eg GPS) then the earth field states cannot be learned
bool magCalDenied = !use_compass() || (frontend->_magCal == 2) || (PV_AidingMode == AID_NONE) || (onGround && frontend->_magCal != 4);
// Inhibit the magnetic field calibration if not requested or denied
inhibitMagStates = (!magCalRequested || magCalDenied);
// If on ground we clear the flag indicating that the magnetic field in-flight initialisation has been completed
// because we want it re-done for each takeoff
if (onGround) {
firstMagYawInit = false;
}
// Adjust the indexing limits used to address the covariance, states and other EKF arrays to avoid unnecessary operations
// if we are not using those states
if (inhibitMagStates && inhibitWindStates) {
stateIndexLim = 15;
} else if (inhibitWindStates) {
stateIndexLim = 21;
} else {
stateIndexLim = 23;
}
}
// Set inertial navigation aiding mode
void NavEKF2_core::setAidingMode()
{
// Determine when to commence aiding for inertial navigation
// Save the previous status so we can detect when it has changed
prevIsAiding = isAiding;
// Don't allow filter to start position or velocity aiding until the tilt and yaw alignment is complete
bool filterIsStable = tiltAlignComplete && yawAlignComplete;
// If GPS useage has been prohiited then we use flow aiding provided optical flow data is present
bool useFlowAiding = (frontend->_fusionModeGPS == 3) && optFlowDataPresent();
// Start aiding if we have a source of aiding data and the filter attitude algnment is complete
// Latch to on
isAiding = ((readyToUseGPS() || useFlowAiding) && filterIsStable) || isAiding;
// check to see if we are starting or stopping aiding and set states and modes as required
if (isAiding != prevIsAiding) {
// We have transitioned either into or out of aiding
// zero stored velocities used to do dead-reckoning
heldVelNE.zero();
// set various useage modes based on the condition when we start aiding. These are then held until aiding is stopped.
if (!isAiding) {
// We have ceased aiding
// When not aiding, estimate orientation & height fusing synthetic constant position and zero velocity measurement to constrain tilt errors
PV_AidingMode = AID_NONE;
posTimeout = true;
velTimeout = true;
// store the current position to be used to keep reporting the last known position
lastKnownPositionNE.x = stateStruct.position.x;
lastKnownPositionNE.y = stateStruct.position.y;
// initialise filtered altitude used to provide a takeoff reference to current baro on disarm
// this reduces the time required for the baro noise filter to settle before the filtered baro data can be used
meaHgtAtTakeOff = baroDataDelayed.hgt;
// reset the vertical position state to faster recover from baro errors experienced during touchdown
stateStruct.position.z = -meaHgtAtTakeOff;
} else if (frontend->_fusionModeGPS == 3) {
// We have commenced aiding, but GPS useage has been prohibited so use optical flow only
hal.console->printf("EKF2 IMU%u is using optical flow\n",(unsigned)imu_index);
PV_AidingMode = AID_RELATIVE; // we have optical flow data and can estimate all vehicle states
posTimeout = true;
velTimeout = true;
// Reset the last valid flow measurement time
flowValidMeaTime_ms = imuSampleTime_ms;
// Reset the last valid flow fusion time
prevFlowFuseTime_ms = imuSampleTime_ms;
} else {
// We have commenced aiding and GPS useage is allowed
hal.console->printf("EKF2 IMU%u is using GPS\n",(unsigned)imu_index);
PV_AidingMode = AID_ABSOLUTE; // we have GPS data and can estimate all vehicle states
posTimeout = false;
velTimeout = false;
// we need to reset the GPS timers to prevent GPS timeout logic being invoked on entry into GPS aiding
// this is becasue the EKF can be interrupted for an arbitrary amount of time during vehicle arming checks
lastTimeGpsReceived_ms = imuSampleTime_ms;
secondLastGpsTime_ms = imuSampleTime_ms;
// reset the last valid position fix time to prevent unwanted activation of GPS glitch logic
lastPosPassTime_ms = imuSampleTime_ms;
}
// Reset all position, velocity and covariance
ResetVelocity();
ResetPosition();
CovarianceInit();
}
// Always turn aiding off when the vehicle is disarmed
if (!isAiding) {
PV_AidingMode = AID_NONE;
posTimeout = true;
velTimeout = true;
}
}
// Check the alignmnent status of the tilt and yaw attitude
// Used during initial bootstrap alignment of the filter
void NavEKF2_core::checkAttitudeAlignmentStatus()
{
// Check for tilt convergence - used during initial alignment
float alpha = 1.0f*imuDataDelayed.delAngDT;
float temp=tiltErrVec.length();
tiltErrFilt = alpha*temp + (1.0f-alpha)*tiltErrFilt;
if (tiltErrFilt < 0.005f && !tiltAlignComplete) {
tiltAlignComplete = true;
hal.console->printf("EKF2 IMU%u tilt alignment complete\n",(unsigned)imu_index);
}
// Once tilt has converged, align yaw using magnetic field measurements
if (tiltAlignComplete && !yawAlignComplete) {
Vector3f eulerAngles;
stateStruct.quat.to_euler(eulerAngles.x, eulerAngles.y, eulerAngles.z);
stateStruct.quat = calcQuatAndFieldStates(eulerAngles.x, eulerAngles.y);
StoreQuatReset();
yawAlignComplete = true;
hal.console->printf("EKF2 IMU%u yaw alignment complete\n",(unsigned)imu_index);
}
}
// return true if we should use the airspeed sensor
bool NavEKF2_core::useAirspeed(void) const
{
return _ahrs->airspeed_sensor_enabled();
}
// return true if we should use the range finder sensor
bool NavEKF2_core::useRngFinder(void) const
{
// TO-DO add code to set this based in setting of optical flow use parameter and presence of sensor
return true;
}
// return true if optical flow data is available
bool NavEKF2_core::optFlowDataPresent(void) const
{
return (imuSampleTime_ms - flowMeaTime_ms < 200);
}
// return true if the filter to be ready to use gps
bool NavEKF2_core::readyToUseGPS(void) const
{
return validOrigin && tiltAlignComplete && yawAlignComplete && gpsGoodToAlign && (frontend->_fusionModeGPS != 3);
}
// return true if we should use the compass
bool NavEKF2_core::use_compass(void) const
{
return _ahrs->get_compass() && _ahrs->get_compass()->use_for_yaw(magSelectIndex) && !allMagSensorsFailed;
}
/*
should we assume zero sideslip?
*/
bool NavEKF2_core::assume_zero_sideslip(void) const
{
// we don't assume zero sideslip for ground vehicles as EKF could
// be quite sensitive to a rapid spin of the ground vehicle if
// traction is lost
return _ahrs->get_fly_forward() && _ahrs->get_vehicle_class() != AHRS_VEHICLE_GROUND;
}
// set the LLH location of the filters NED origin
bool NavEKF2_core::setOriginLLH(struct Location &loc)
{
if (isAiding) {
return false;
}
EKF_origin = loc;
validOrigin = true;
return true;
}
// Set the NED origin to be used until the next filter reset
void NavEKF2_core::setOrigin()
{
// assume origin at current GPS location (no averaging)
EKF_origin = _ahrs->get_gps().location();
// define Earth rotation vector in the NED navigation frame at the origin
calcEarthRateNED(earthRateNED, _ahrs->get_home().lat);
validOrigin = true;
hal.console->printf("EKF2 IMU%u Origin Set\n",(unsigned)imu_index);
}
// Commands the EKF to not use GPS.
// This command must be sent prior to arming
// This command is forgotten by the EKF each time the vehicle disarms
// Returns 0 if command rejected
// Returns 1 if attitude, vertical velocity and vertical position will be provided
// Returns 2 if attitude, 3D-velocity, vertical position and relative horizontal position will be provided
uint8_t NavEKF2_core::setInhibitGPS(void)
{
if(!isAiding) {
return 0;
}
if (optFlowDataPresent()) {
frontend->_fusionModeGPS = 3;
//#error writing to a tuning parameter
return 2;
} else {
return 1;
}
}
#endif // HAL_CPU_CLASS