mirror of https://github.com/ArduPilot/ardupilot
433 lines
20 KiB
C++
433 lines
20 KiB
C++
#include <AP_HAL/AP_HAL.h>
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#if HAL_CPU_CLASS >= HAL_CPU_CLASS_150
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#include "AP_NavEKF2.h"
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#include "AP_NavEKF2_core.h"
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#include <AP_AHRS/AP_AHRS.h>
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#include <AP_Vehicle/AP_Vehicle.h>
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#include <GCS_MAVLink/GCS.h>
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#include <stdio.h>
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extern const AP_HAL::HAL& hal;
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// Control filter mode transitions
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void NavEKF2_core::controlFilterModes()
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{
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// Determine motor arm status
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prevMotorsArmed = motorsArmed;
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motorsArmed = hal.util->get_soft_armed();
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if (motorsArmed && !prevMotorsArmed) {
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// set the time at which we arm to assist with checks
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timeAtArming_ms = imuSampleTime_ms;
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}
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// Detect if we are in flight on or ground
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detectFlight();
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// Determine if learning of wind and magnetic field will be enabled and set corresponding indexing limits to
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// avoid unnecessary operations
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setWindMagStateLearningMode();
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// Check the alignmnent status of the tilt and yaw attitude
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// Used during initial bootstrap alignment of the filter
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checkAttitudeAlignmentStatus();
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// Set the type of inertial navigation aiding used
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setAidingMode();
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}
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/*
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return effective value for _magCal for this core
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*/
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uint8_t NavEKF2_core::effective_magCal(void) const
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{
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// if we are on the 2nd core and _magCal is 3 then treat it as
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// 2. This is a workaround for a mag fusion problem
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if (frontend->_magCal ==3 && imu_index == 1) {
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return 2;
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}
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return frontend->_magCal;
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}
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// Determine if learning of wind and magnetic field will be enabled and set corresponding indexing limits to
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// avoid unnecessary operations
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void NavEKF2_core::setWindMagStateLearningMode()
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{
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// 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
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bool setWindInhibit = (!useAirspeed() && !assume_zero_sideslip()) || onGround || (PV_AidingMode == AID_NONE);
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if (!inhibitWindStates && setWindInhibit) {
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inhibitWindStates = true;
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} else if (inhibitWindStates && !setWindInhibit) {
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inhibitWindStates = false;
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// set states and variances
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if (yawAlignComplete && useAirspeed()) {
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// if we have airspeed and a valid heading, set the wind states to the reciprocal of the vehicle heading
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// which assumes the vehicle has launched into the wind
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Vector3f tempEuler;
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stateStruct.quat.to_euler(tempEuler.x, tempEuler.y, tempEuler.z);
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float windSpeed = sqrtf(sq(stateStruct.velocity.x) + sq(stateStruct.velocity.y)) - tasDataDelayed.tas;
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stateStruct.wind_vel.x = windSpeed * cosf(tempEuler.z);
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stateStruct.wind_vel.y = windSpeed * sinf(tempEuler.z);
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// set the wind sate variances to the measurement uncertainty
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for (uint8_t index=22; index<=23; index++) {
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P[index][index] = sq(constrain_float(frontend->_easNoise, 0.5f, 5.0f) * constrain_float(_ahrs->get_EAS2TAS(), 0.9f, 10.0f));
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}
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} else {
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// set the variances using a typical wind speed
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for (uint8_t index=22; index<=23; index++) {
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P[index][index] = sq(5.0f);
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}
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}
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}
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// determine if the vehicle is manoevring
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if (accNavMagHoriz > 0.5f) {
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manoeuvring = true;
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} else {
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manoeuvring = false;
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}
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// Determine if learning of magnetic field states has been requested by the user
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uint8_t magCal = effective_magCal();
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bool magCalRequested =
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((magCal == 0) && inFlight) || // when flying
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((magCal == 1) && manoeuvring) || // when manoeuvring
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((magCal == 3) && finalInflightYawInit && finalInflightMagInit) || // when initial in-air yaw and mag field reset is complete
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(magCal == 4); // all the time
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// Deny mag calibration request if we aren't using the compass, it has been inhibited by the user,
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// we do not have an absolute position reference or are on the ground (unless explicitly requested by the user)
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bool magCalDenied = !use_compass() || (magCal == 2) || (onGround && magCal != 4);
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// Inhibit the magnetic field calibration if not requested or denied
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bool setMagInhibit = !magCalRequested || magCalDenied;
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if (!inhibitMagStates && setMagInhibit) {
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inhibitMagStates = true;
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} else if (inhibitMagStates && !setMagInhibit) {
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inhibitMagStates = false;
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if (magFieldLearned) {
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// if we have already learned the field states, then retain the learned variances
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P[16][16] = earthMagFieldVar.x;
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P[17][17] = earthMagFieldVar.y;
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P[18][18] = earthMagFieldVar.z;
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P[19][19] = bodyMagFieldVar.x;
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P[20][20] = bodyMagFieldVar.y;
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P[21][21] = bodyMagFieldVar.z;
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} else {
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// set the variances equal to the observation variances
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for (uint8_t index=18; index<=21; index++) {
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P[index][index] = sq(frontend->_magNoise);
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}
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// set the NE earth magnetic field states using the published declination
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// and set the corresponding variances and covariances
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alignMagStateDeclination();
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}
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// request a reset of the yaw and magnetic field states if not done before
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if (!magStateInitComplete || (!finalInflightMagInit && inFlight)) {
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magYawResetRequest = true;
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}
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}
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// If on ground we clear the flag indicating that the magnetic field in-flight initialisation has been completed
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// because we want it re-done for each takeoff
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if (onGround) {
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finalInflightYawInit = false;
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finalInflightMagInit = false;
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}
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// Adjust the indexing limits used to address the covariance, states and other EKF arrays to avoid unnecessary operations
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// if we are not using those states
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if (inhibitMagStates && inhibitWindStates) {
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stateIndexLim = 15;
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} else if (inhibitWindStates) {
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stateIndexLim = 21;
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} else {
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stateIndexLim = 23;
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}
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}
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// Set inertial navigation aiding mode
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void NavEKF2_core::setAidingMode()
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{
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// Save the previous status so we can detect when it has changed
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PV_AidingModePrev = PV_AidingMode;
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// Determine if we should change aiding mode
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if (PV_AidingMode == AID_NONE) {
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// Don't allow filter to start position or velocity aiding until the tilt and yaw alignment is complete
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// and IMU gyro bias estimates have stabilised
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bool filterIsStable = tiltAlignComplete && yawAlignComplete && checkGyroCalStatus();
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// If GPS usage has been prohiited then we use flow aiding provided optical flow data is present
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// GPS aiding is the perferred option unless excluded by the user
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if((frontend->_fusionModeGPS) != 3 && readyToUseGPS() && filterIsStable && !gpsInhibit) {
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PV_AidingMode = AID_ABSOLUTE;
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} else if (optFlowDataPresent() && filterIsStable) {
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PV_AidingMode = AID_RELATIVE;
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}
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} else if (PV_AidingMode == AID_RELATIVE) {
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// Check if the optical flow sensor has timed out
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bool flowSensorTimeout = ((imuSampleTime_ms - flowValidMeaTime_ms) > 5000);
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// Check if the fusion has timed out (flow measurements have been rejected for too long)
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bool flowFusionTimeout = ((imuSampleTime_ms - prevFlowFuseTime_ms) > 5000);
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// Enable switch to absolute position mode if GPS is available
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// If GPS is not available and flow fusion has timed out, then fall-back to no-aiding
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if((frontend->_fusionModeGPS) != 3 && readyToUseGPS() && !gpsInhibit) {
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PV_AidingMode = AID_ABSOLUTE;
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} else if (flowSensorTimeout || flowFusionTimeout) {
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PV_AidingMode = AID_NONE;
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}
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} else if (PV_AidingMode == AID_ABSOLUTE) {
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// check if we can use opticalflow as a backup
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bool optFlowBackupAvailable = (flowDataValid && !hgtTimeout);
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// Set GPS time-out threshold depending on whether we have an airspeed sensor to constrain drift
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uint16_t gpsRetryTimeout_ms = useAirspeed() ? frontend->gpsRetryTimeUseTAS_ms : frontend->gpsRetryTimeNoTAS_ms;
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// Set the time that copters will fly without a GPS lock before failing the GPS and switching to a non GPS mode
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uint16_t gpsFailTimeout_ms = optFlowBackupAvailable ? frontend->gpsFailTimeWithFlow_ms : gpsRetryTimeout_ms;
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// If we haven't received GPS data for a while and we are using it for aiding, then declare the position and velocity data as being timed out
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if (imuSampleTime_ms - lastTimeGpsReceived_ms > gpsFailTimeout_ms) {
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// Let other processes know that GPS is not available and that a timeout has occurred
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posTimeout = true;
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velTimeout = true;
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gpsNotAvailable = true;
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// If we are totally reliant on GPS for navigation, then we need to switch to a non-GPS mode of operation
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// If we don't have airspeed or sideslip assumption or optical flow to constrain drift, then go into constant position mode.
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// If we can do optical flow nav (valid flow data and height above ground estimate), then go into flow nav mode.
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if (!useAirspeed() && !assume_zero_sideslip()) {
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if (optFlowBackupAvailable) {
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// attempt optical flow navigation
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PV_AidingMode = AID_RELATIVE;
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} else {
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// put the filter into constant position mode
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PV_AidingMode = AID_NONE;
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}
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}
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} else if (gpsInhibit) {
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// put the filter into constant position mode in response to an exernal request
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PV_AidingMode = AID_NONE;
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}
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}
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// check to see if we are starting or stopping aiding and set states and modes as required
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if (PV_AidingMode != PV_AidingModePrev) {
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// set various usage modes based on the condition when we start aiding. These are then held until aiding is stopped.
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if (PV_AidingMode == AID_NONE) {
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// We have ceased aiding
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GCS_MAVLINK::send_statustext_all(MAV_SEVERITY_WARNING, "EKF2 IMU%u has stopped aiding",(unsigned)imu_index);
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// When not aiding, estimate orientation & height fusing synthetic constant position and zero velocity measurement to constrain tilt errors
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posTimeout = true;
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velTimeout = true;
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// Reset the normalised innovation to avoid false failing bad fusion tests
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velTestRatio = 0.0f;
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posTestRatio = 0.0f;
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// store the current position to be used to keep reporting the last known position
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lastKnownPositionNE.x = stateStruct.position.x;
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lastKnownPositionNE.y = stateStruct.position.y;
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// initialise filtered altitude used to provide a takeoff reference to current baro on disarm
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// this reduces the time required for the baro noise filter to settle before the filtered baro data can be used
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meaHgtAtTakeOff = baroDataDelayed.hgt;
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// reset the vertical position state to faster recover from baro errors experienced during touchdown
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stateStruct.position.z = -meaHgtAtTakeOff;
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} else if (PV_AidingMode == AID_RELATIVE) {
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// We have commenced aiding, but GPS usage has been prohibited so use optical flow only
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GCS_MAVLINK::send_statustext_all(MAV_SEVERITY_INFO, "EKF2 IMU%u is using optical flow",(unsigned)imu_index);
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posTimeout = true;
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velTimeout = true;
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// Reset the last valid flow measurement time
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flowValidMeaTime_ms = imuSampleTime_ms;
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// Reset the last valid flow fusion time
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prevFlowFuseTime_ms = imuSampleTime_ms;
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} else if (PV_AidingMode == AID_ABSOLUTE) {
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// We have commenced aiding and GPS usage is allowed
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GCS_MAVLINK::send_statustext_all(MAV_SEVERITY_INFO, "EKF2 IMU%u is using GPS",(unsigned)imu_index);
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posTimeout = false;
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velTimeout = false;
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// we need to reset the GPS timers to prevent GPS timeout logic being invoked on entry into GPS aiding
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// this is because the EKF can be interrupted for an arbitrary amount of time during vehicle arming checks
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lastTimeGpsReceived_ms = imuSampleTime_ms;
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secondLastGpsTime_ms = imuSampleTime_ms;
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// reset the last valid position fix time to prevent unwanted activation of GPS glitch logic
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lastPosPassTime_ms = imuSampleTime_ms;
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}
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// Always reset the position and velocity when changing mode
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ResetVelocity();
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ResetPosition();
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}
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}
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// Check the tilt and yaw alignmnent status
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// Used during initial bootstrap alignment of the filter
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void NavEKF2_core::checkAttitudeAlignmentStatus()
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{
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// Check for tilt convergence - used during initial alignment
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float alpha = 1.0f*imuDataDelayed.delAngDT;
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float temp=tiltErrVec.length();
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tiltErrFilt = alpha*temp + (1.0f-alpha)*tiltErrFilt;
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if (tiltErrFilt < 0.005f && !tiltAlignComplete) {
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tiltAlignComplete = true;
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GCS_MAVLINK::send_statustext_all(MAV_SEVERITY_INFO, "EKF2 IMU%u tilt alignment complete",(unsigned)imu_index);
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}
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// submit yaw and magnetic field reset requests depending on whether we have compass data
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if (tiltAlignComplete && !yawAlignComplete) {
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if (use_compass()) {
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magYawResetRequest = true;
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gpsYawResetRequest = false;
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} else {
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magYawResetRequest = false;
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gpsYawResetRequest = true;
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}
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}
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}
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// return true if we should use the airspeed sensor
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bool NavEKF2_core::useAirspeed(void) const
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{
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return _ahrs->airspeed_sensor_enabled();
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}
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// return true if we should use the range finder sensor
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bool NavEKF2_core::useRngFinder(void) const
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{
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// TO-DO add code to set this based in setting of optical flow use parameter and presence of sensor
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return true;
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}
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// return true if optical flow data is available
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bool NavEKF2_core::optFlowDataPresent(void) const
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{
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return (imuSampleTime_ms - flowMeaTime_ms < 200);
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}
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// return true if the filter to be ready to use gps
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bool NavEKF2_core::readyToUseGPS(void) const
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{
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return validOrigin && tiltAlignComplete && yawAlignComplete && gpsGoodToAlign && (frontend->_fusionModeGPS != 3) && gpsDataToFuse;
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}
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// return true if we should use the compass
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bool NavEKF2_core::use_compass(void) const
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{
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return _ahrs->get_compass() && _ahrs->get_compass()->use_for_yaw(magSelectIndex) && !allMagSensorsFailed;
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}
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/*
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should we assume zero sideslip?
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*/
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bool NavEKF2_core::assume_zero_sideslip(void) const
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{
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// we don't assume zero sideslip for ground vehicles as EKF could
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// be quite sensitive to a rapid spin of the ground vehicle if
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// traction is lost
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return _ahrs->get_fly_forward() && _ahrs->get_vehicle_class() != AHRS_VEHICLE_GROUND;
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}
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// set the LLH location of the filters NED origin
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bool NavEKF2_core::setOriginLLH(struct Location &loc)
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{
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if (PV_AidingMode == AID_ABSOLUTE) {
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return false;
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}
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EKF_origin = loc;
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validOrigin = true;
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return true;
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}
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// Set the NED origin to be used until the next filter reset
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void NavEKF2_core::setOrigin()
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{
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// assume origin at current GPS location (no averaging)
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EKF_origin = _ahrs->get_gps().location();
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// define Earth rotation vector in the NED navigation frame at the origin
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calcEarthRateNED(earthRateNED, _ahrs->get_home().lat);
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validOrigin = true;
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GCS_MAVLINK::send_statustext_all(MAV_SEVERITY_INFO, "EKF2 IMU%u Origin Set",(unsigned)imu_index);
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}
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// record a yaw reset event
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void NavEKF2_core::recordYawReset()
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{
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yawAlignComplete = true;
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if (inFlight) {
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finalInflightYawInit = true;
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}
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}
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// return true and set the class variable true if the delta angle bias has been learned
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bool NavEKF2_core::checkGyroCalStatus(void)
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{
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// check delta angle bias variances
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const float delAngBiasVarMax = sq(radians(0.15f * dtEkfAvg));
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delAngBiasLearned = (P[9][9] <= delAngBiasVarMax) &&
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(P[10][10] <= delAngBiasVarMax) &&
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(P[11][11] <= delAngBiasVarMax);
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return delAngBiasLearned;
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}
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// Commands the EKF to not use GPS.
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// This command must be sent prior to arming
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// This command is forgotten by the EKF each time the vehicle disarms
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// Returns 0 if command rejected
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// Returns 1 if attitude, vertical velocity and vertical position will be provided
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// Returns 2 if attitude, 3D-velocity, vertical position and relative horizontal position will be provided
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uint8_t NavEKF2_core::setInhibitGPS(void)
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{
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if((PV_AidingMode == AID_ABSOLUTE) && motorsArmed) {
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return 0;
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} else {
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gpsInhibit = true;
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return 1;
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}
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// option 2 is not yet implemented as it requires a deeper integration of optical flow and GPS operation
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}
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// Update the filter status
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void NavEKF2_core::updateFilterStatus(void)
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{
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// init return value
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filterStatus.value = 0;
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bool doingFlowNav = (PV_AidingMode == AID_RELATIVE) && flowDataValid;
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bool doingWindRelNav = !tasTimeout && assume_zero_sideslip();
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bool doingNormalGpsNav = !posTimeout && (PV_AidingMode == AID_ABSOLUTE);
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bool someVertRefData = (!velTimeout && useGpsVertVel) || !hgtTimeout;
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bool someHorizRefData = !(velTimeout && posTimeout && tasTimeout) || doingFlowNav;
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bool optFlowNavPossible = flowDataValid && delAngBiasLearned;
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bool gpsNavPossible = !gpsNotAvailable && gpsGoodToAlign && delAngBiasLearned;
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bool filterHealthy = healthy() && tiltAlignComplete && (yawAlignComplete || (!use_compass() && (PV_AidingMode == AID_NONE)));
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// If GPS height usage is specified, height is considered to be inaccurate until the GPS passes all checks
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bool hgtNotAccurate = (frontend->_altSource == 2) && !validOrigin;
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// set individual flags
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filterStatus.flags.attitude = !stateStruct.quat.is_nan() && filterHealthy; // attitude valid (we need a better check)
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filterStatus.flags.horiz_vel = someHorizRefData && filterHealthy; // horizontal velocity estimate valid
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filterStatus.flags.vert_vel = someVertRefData && filterHealthy; // vertical velocity estimate valid
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filterStatus.flags.horiz_pos_rel = ((doingFlowNav && gndOffsetValid) || doingWindRelNav || doingNormalGpsNav) && filterHealthy; // relative horizontal position estimate valid
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filterStatus.flags.horiz_pos_abs = doingNormalGpsNav && filterHealthy; // absolute horizontal position estimate valid
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filterStatus.flags.vert_pos = !hgtTimeout && filterHealthy && !hgtNotAccurate; // vertical position estimate valid
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filterStatus.flags.terrain_alt = gndOffsetValid && filterHealthy; // terrain height estimate valid
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filterStatus.flags.const_pos_mode = (PV_AidingMode == AID_NONE) && filterHealthy; // constant position mode
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filterStatus.flags.pred_horiz_pos_rel = ((optFlowNavPossible || gpsNavPossible) && filterHealthy) || filterStatus.flags.horiz_pos_rel; // we should be able to estimate a relative position when we enter flight mode
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filterStatus.flags.pred_horiz_pos_abs = (gpsNavPossible && filterHealthy) || filterStatus.flags.horiz_pos_abs; // we should be able to estimate an absolute position when we enter flight mode
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filterStatus.flags.takeoff_detected = takeOffDetected; // takeoff for optical flow navigation has been detected
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filterStatus.flags.takeoff = expectGndEffectTakeoff; // The EKF has been told to expect takeoff and is in a ground effect mitigation mode
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filterStatus.flags.touchdown = expectGndEffectTouchdown; // The EKF has been told to detect touchdown and is in a ground effect mitigation mode
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filterStatus.flags.using_gps = ((imuSampleTime_ms - lastPosPassTime_ms) < 4000) && (PV_AidingMode == AID_ABSOLUTE);
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filterStatus.flags.gps_glitching = !gpsAccuracyGood && (PV_AidingMode == AID_ABSOLUTE); // The GPS is glitching
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}
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#endif // HAL_CPU_CLASS
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