示例#1
0
// perform drift correction. This function aims to update _omega_P and
// _omega_I with our best estimate of the short term and long term
// gyro error. The _omega_P value is what pulls our attitude solution
// back towards the reference vector quickly. The _omega_I term is an
// attempt to learn the long term drift rate of the gyros.
//
// This drift correction implementation is based on a paper
// by Bill Premerlani from here:
//   http://gentlenav.googlecode.com/files/RollPitchDriftCompensation.pdf
void
AP_AHRS_DCM::drift_correction(float deltat)
{
    Matrix3f temp_dcm = _dcm_matrix;
    Vector3f velocity;
    uint32_t last_correction_time;

    // perform yaw drift correction if we have a new yaw reference
    // vector
    drift_correction_yaw();

    // apply trim
    temp_dcm.rotate(_trim);

    // rotate accelerometer values into the earth frame
    _accel_ef = temp_dcm * _accel_vector;

    // integrate the accel vector in the earth frame between GPS readings
    _ra_sum += _accel_ef * deltat;

    // keep a sum of the deltat values, so we know how much time
    // we have integrated over
    _ra_deltat += deltat;

    if (!have_gps()) {
        // no GPS, or not a good lock. From experience we need at
        // least 6 satellites to get a really reliable velocity number
        // from the GPS.
        //
        // As a fallback we use the fixed wing acceleration correction
        // if we have an airspeed estimate (which we only have if
        // _fly_forward is set), otherwise no correction
        if (_ra_deltat < 0.2) {
            // not enough time has accumulated
            return;
        }
        float airspeed;
        if (_airspeed && _airspeed->use()) {
            airspeed = _airspeed->get_airspeed();
        } else {
            airspeed = _last_airspeed;
        }
        // use airspeed to estimate our ground velocity in
        // earth frame by subtracting the wind
        velocity = _dcm_matrix.colx() * airspeed;

        // add in wind estimate
        velocity += _wind;

        last_correction_time = hal.scheduler->millis();
        _have_gps_lock = false;

        // update position delta for get_position()
        _position_offset_north += velocity.x * _ra_deltat;
        _position_offset_east  += velocity.y * _ra_deltat;
    } else {
        if (_gps->last_fix_time == _ra_sum_start) {
            // we don't have a new GPS fix - nothing more to do
            return;
        }
        velocity = Vector3f(_gps->velocity_north(), _gps->velocity_east(), _gps->velocity_down());
        last_correction_time = _gps->last_fix_time;
        if (_have_gps_lock == false) {
            // if we didn't have GPS lock in the last drift
            // correction interval then set the velocities equal
            _last_velocity = velocity;
        }
        _have_gps_lock = true;

        // remember position for get_position()
        _last_lat = _gps->latitude;
        _last_lng = _gps->longitude;
        _position_offset_north = 0;
        _position_offset_east = 0;

        // once we have a single GPS lock, we update using
        // dead-reckoning from then on
        _have_position = true;

        // keep last airspeed estimate for dead-reckoning purposes
        Vector3f airspeed = velocity - _wind;
        airspeed.z = 0;
        _last_airspeed = airspeed.length();
    }

    /*
     *  The barometer for vertical velocity is only enabled if we got
     *  at least 5 pressure samples for the reading. This ensures we
     *  don't use very noisy climb rate data
     */
    if (_baro_use && _barometer != NULL && _barometer->get_pressure_samples() >= 5) {
        // Z velocity is down
        velocity.z = -_barometer->get_climb_rate();
    }

    // see if this is our first time through - in which case we
    // just setup the start times and return
    if (_ra_sum_start == 0) {
        _ra_sum_start = last_correction_time;
        _last_velocity = velocity;
        return;
    }

    // equation 9: get the corrected acceleration vector in earth frame. Units
    // are m/s/s
    Vector3f GA_e;
    float v_scale = gps_gain.get()/(_ra_deltat*GRAVITY_MSS);
    Vector3f vdelta = (velocity - _last_velocity) * v_scale;
    // limit vertical acceleration correction to 0.5 gravities. The
    // barometer sometimes gives crazy acceleration changes. 
    vdelta.z = constrain(vdelta.z, -0.5, 0.5);
    GA_e = Vector3f(0, 0, -1.0) + vdelta;
    GA_e.normalize();
    if (GA_e.is_inf()) {
        // wait for some non-zero acceleration information
        return;
    }

    // calculate the error term in earth frame.
    Vector3f GA_b = _ra_sum / (_ra_deltat * GRAVITY_MSS);
    float length = GA_b.length();
    if (length > 1.0) {
        GA_b /= length;
        if (GA_b.is_inf()) {
            // wait for some non-zero acceleration information
            return;
        }
    }
    Vector3f error = GA_b % GA_e;

#define YAW_INDEPENDENT_DRIFT_CORRECTION 0
#if YAW_INDEPENDENT_DRIFT_CORRECTION
    // step 2 calculate earth_error_Z
    float earth_error_Z = error.z;

    // equation 10
    float tilt = pythagorous2(GA_e.x, GA_e.y);

    // equation 11
    float theta = atan2(GA_b.y, GA_b.x);

    // equation 12
    Vector3f GA_e2 = Vector3f(cos(theta)*tilt, sin(theta)*tilt, GA_e.z);

    // step 6
    error = GA_b % GA_e2;
    error.z = earth_error_Z;
#endif // YAW_INDEPENDENT_DRIFT_CORRECTION

    // to reduce the impact of two competing yaw controllers, we
    // reduce the impact of the gps/accelerometers on yaw when we are
    // flat, but still allow for yaw correction using the
    // accelerometers at high roll angles as long as we have a GPS
    if (_compass && _compass->use_for_yaw()) {
        if (have_gps() && gps_gain == 1.0) {
            error.z *= sin(fabs(roll));
        } else {
            error.z = 0;
        }
    }

    // convert the error term to body frame
    error = _dcm_matrix.mul_transpose(error);

    if (error.is_nan() || error.is_inf()) {
        // don't allow bad values
        check_matrix();
        return;
    }

    _error_rp_sum += error.length();
    _error_rp_count++;

    // base the P gain on the spin rate
    float spin_rate = _omega.length();

    // we now want to calculate _omega_P and _omega_I. The
    // _omega_P value is what drags us quickly to the
    // accelerometer reading.
    _omega_P = error * _P_gain(spin_rate) * _kp;
    if (_fast_ground_gains) {
        _omega_P *= 8;
    }

    // accumulate some integrator error
    if (spin_rate < ToRad(SPIN_RATE_LIMIT)) {
        _omega_I_sum += error * _ki * _ra_deltat;
        _omega_I_sum_time += _ra_deltat;
    }

    if (_omega_I_sum_time >= 5) {
        // limit the rate of change of omega_I to the hardware
        // reported maximum gyro drift rate. This ensures that
        // short term errors don't cause a buildup of omega_I
        // beyond the physical limits of the device
        float change_limit = _gyro_drift_limit * _omega_I_sum_time;
        _omega_I_sum.x = constrain(_omega_I_sum.x, -change_limit, change_limit);
        _omega_I_sum.y = constrain(_omega_I_sum.y, -change_limit, change_limit);
        _omega_I_sum.z = constrain(_omega_I_sum.z, -change_limit, change_limit);
        _omega_I += _omega_I_sum;
        _omega_I_sum.zero();
        _omega_I_sum_time = 0;
    }

    // zero our accumulator ready for the next GPS step
    _ra_sum.zero();
    _ra_deltat = 0;
    _ra_sum_start = last_correction_time;

    // remember the velocity for next time
    _last_velocity = velocity;

    if (_have_gps_lock && _fly_forward) {
        // update wind estimate
        estimate_wind(velocity);
    }
}
示例#2
0
void
AP_AHRS_DCM::drift_correction(float deltat)
{
    Matrix3f temp_dcm = _dcm_matrix;
    Vector3f velocity;
    uint32_t last_correction_time;

    // perform yaw drift correction if we have a new yaw reference
    // vector
    drift_correction_yaw();

    // apply trim
    temp_dcm.rotateXY(_trim);

    // rotate accelerometer values into the earth frame
    _accel_ef = temp_dcm * _ins.get_accel();

    // integrate the accel vector in the earth frame between GPS readings
    _ra_sum += _accel_ef * deltat;

    // keep a sum of the deltat values, so we know how much time
    // we have integrated over
    _ra_deltat += deltat;
    num_sat=_gps->num_sats;

    if (!have_gps() ||
            _gps->status() < GPS::GPS_OK_FIX_3D ||
            _gps->num_sats < _gps_minsats) {
        // no GPS, or not a good lock. From experience we need at
        // least 6 satellites to get a really reliable velocity number
        // from the GPS.
        //
        // As a fallback we use the fixed wing acceleration correction
        // if we have an airspeed estimate (which we only have if
        // _fly_forward is set), otherwise no correction
        if (_ra_deltat < 0.2f) {
            // not enough time has accumulated
            return;
        }
        float airspeed;
        if (_airspeed && _airspeed->use()) {
            airspeed = _airspeed->get_airspeed();
        } else {
            airspeed = _last_airspeed;
        }
        // use airspeed to estimate our ground velocity in
        // earth frame by subtracting the wind
        velocity = _dcm_matrix.colx() * airspeed;

        // add in wind estimate
        velocity += _wind;

        last_correction_time = hal.scheduler->millis();
        _have_gps_lock = false;
    } else {
        if (_gps->last_fix_time == _ra_sum_start) {
            // we don't have a new GPS fix - nothing more to do
            return;
        }
        velocity = Vector3f(_gps->velocity_north(), _gps->velocity_east(), _gps->velocity_down());
        last_correction_time = _gps->last_fix_time;
        if (_have_gps_lock == false) {
            // if we didn't have GPS lock in the last drift
            // correction interval then set the velocities equal
            _last_velocity = velocity;
        }
        _have_gps_lock = true;

        // keep last airspeed estimate for dead-reckoning purposes
        Vector3f airspeed = velocity - _wind;
        airspeed.z = 0;
        _last_airspeed = airspeed.length();
    }

    if (have_gps()) {
        // use GPS for positioning with any fix, even a 2D fix
        _last_lat = _gps->latitude;
        _last_lng = _gps->longitude;
        _position_offset_north = 0;
        _position_offset_east = 0;

        // once we have a single GPS lock, we can update using
        // dead-reckoning from then on
        _have_position = true;
    } else {
        // update dead-reckoning position estimate
        _position_offset_north += velocity.x * _ra_deltat;
        _position_offset_east  += velocity.y * _ra_deltat;
    }

    // see if this is our first time through - in which case we
    // just setup the start times and return
    if (_ra_sum_start == 0) {
        _ra_sum_start = last_correction_time;
        _last_velocity = velocity;
        return;
    }

    // equation 9: get the corrected acceleration vector in earth frame. Units
    // are m/s/s
    Vector3f GA_e;
    GA_e = Vector3f(0, 0, -1.0f);

    bool using_gps_corrections = false;
    if (_flags.correct_centrifugal && (_have_gps_lock || _flags.fly_forward)) {
        float v_scale = gps_gain.get()/(_ra_deltat*GRAVITY_MSS);
        Vector3f vdelta = (velocity - _last_velocity) * v_scale;
        GA_e += vdelta;
        GA_e.normalize();
        if (GA_e.is_inf()) {
            // wait for some non-zero acceleration information
            return;
        }
        using_gps_corrections = true;
    }

    // calculate the error term in earth frame.
    _ra_sum /= (_ra_deltat * GRAVITY_MSS);

    // get the delayed ra_sum to match the GPS lag
    Vector3f GA_b;
    if (using_gps_corrections) {
        GA_b = ra_delayed(_ra_sum);
    } else {
        GA_b = _ra_sum;
    }
    GA_b.normalize();
    if (GA_b.is_inf()) {
        // wait for some non-zero acceleration information
        return;
    }

    Vector3f error = GA_b % GA_e;

#define YAW_INDEPENDENT_DRIFT_CORRECTION 0
#if YAW_INDEPENDENT_DRIFT_CORRECTION
    // step 2 calculate earth_error_Z
    float earth_error_Z = error.z;

    // equation 10
    float tilt = pythagorous2(GA_e.x, GA_e.y);

    // equation 11
    float theta = atan2f(GA_b.y, GA_b.x);

    // equation 12
    Vector3f GA_e2 = Vector3f(cosf(theta)*tilt, sinf(theta)*tilt, GA_e.z);

    // step 6
    error = GA_b % GA_e2;
    error.z = earth_error_Z;
#endif // YAW_INDEPENDENT_DRIFT_CORRECTION

    // to reduce the impact of two competing yaw controllers, we
    // reduce the impact of the gps/accelerometers on yaw when we are
    // flat, but still allow for yaw correction using the
    // accelerometers at high roll angles as long as we have a GPS
    if (use_compass()) {
        if (have_gps() && gps_gain == 1.0f) {
            error.z *= sinf(fabsf(roll));
        } else {
            error.z = 0;
        }
    }

    // if ins is unhealthy then stop attitude drift correction and
    // hope the gyros are OK for a while. Just slowly reduce _omega_P
    // to prevent previous bad accels from throwing us off
    if (!_ins.healthy()) {
        error.zero();
    } else {
        // convert the error term to body frame
        error = _dcm_matrix.mul_transpose(error);
    }

    if (error.is_nan() || error.is_inf()) {
        // don't allow bad values
        check_matrix();
        return;
    }

    _error_rp_sum += error.length();
    _error_rp_count++;

    // base the P gain on the spin rate
    float spin_rate = _omega.length();

    // we now want to calculate _omega_P and _omega_I. The
    // _omega_P value is what drags us quickly to the
    // accelerometer reading.
    _omega_P = error * _P_gain(spin_rate) * _kp;
    if (_flags.fast_ground_gains) {
        _omega_P *= 8;
    }

    if (_flags.fly_forward && _gps && _gps->status() >= GPS::GPS_OK_FIX_2D &&
            _gps->ground_speed_cm < GPS_SPEED_MIN &&
            _ins.get_accel().x >= 7 &&
            pitch_sensor > -3000 && pitch_sensor < 3000) {
        // assume we are in a launch acceleration, and reduce the
        // rp gain by 50% to reduce the impact of GPS lag on
        // takeoff attitude when using a catapult
        _omega_P *= 0.5f;
    }

    // accumulate some integrator error
    if (spin_rate < ToRad(SPIN_RATE_LIMIT)) {
        _omega_I_sum += error * _ki * _ra_deltat;
        _omega_I_sum_time += _ra_deltat;
    }

    if (_omega_I_sum_time >= 5) {
        // limit the rate of change of omega_I to the hardware
        // reported maximum gyro drift rate. This ensures that
        // short term errors don't cause a buildup of omega_I
        // beyond the physical limits of the device
        float change_limit = _gyro_drift_limit * _omega_I_sum_time;
        _omega_I_sum.x = constrain_float(_omega_I_sum.x, -change_limit, change_limit);
        _omega_I_sum.y = constrain_float(_omega_I_sum.y, -change_limit, change_limit);
        _omega_I_sum.z = constrain_float(_omega_I_sum.z, -change_limit, change_limit);
        _omega_I += _omega_I_sum;
        _omega_I_sum.zero();
        _omega_I_sum_time = 0;
    }

    // zero our accumulator ready for the next GPS step
    _ra_sum.zero();
    _ra_deltat = 0;
    _ra_sum_start = last_correction_time;

    // remember the velocity for next time
    _last_velocity = velocity;

    if (_have_gps_lock && _flags.fly_forward) {
        // update wind estimate
        estimate_wind(velocity);
    }
}