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@ -563,50 +563,6 @@ void Ekf::predictCovariance()
@@ -563,50 +563,6 @@ void Ekf::predictCovariance()
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// Don't do covariance prediction on wind states unless we are using them
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if (_control_status.flags.wind) { |
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// Check if we have just transitioned to using wind states and set the variances accordingly
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if (!_control_status_prev.flags.wind) { |
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// simple initialisation of wind states: calculate wind component along the forward axis
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// of the plane.
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matrix::Euler<float> euler(_output_new.quat_nominal); |
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float heading = euler(2); |
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// ground speed component in the xy plane projected onto the directon the plane is heading to
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float ground_speed_xy_nose = _output_new.vel(0) * cosf(heading) + _output_new.vel(1) * sinf(heading); |
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airspeedSample tmp = _airspeed_buffer.get_newest(); |
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float airspeed = tmp.true_airspeed; |
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// check if the calculation is well conditioned:
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// our airspeed measurement is at least as hight as our down velocity and the plane is moving forward
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if (airspeed > fabsf(_output_new.vel(2)) && ground_speed_xy_nose > 0) { |
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float ground_speed = sqrtf(_output_new.vel(0) * _output_new.vel(0) + _output_new.vel(1) * _output_new.vel(1) + _output_new.vel(2) * _output_new.vel(2)); |
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// wind magnitude in the direction the plane is
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float wind_magnitude = ground_speed_xy_nose - sqrtf(airspeed * airspeed - _output_new.vel(2) * _output_new.vel(2)); |
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// determine direction of wind
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float wind_sign = 1; |
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if (airspeed < ground_speed) { |
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// wind is in nose direction
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wind_sign = 1; |
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} else { |
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wind_sign = -1; |
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} |
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_state.wind_vel(0) = cosf(heading) * wind_magnitude * wind_sign; |
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_state.wind_vel(1) = sinf(heading) * wind_magnitude * wind_sign; |
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} else { |
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// calculation is badly conditioned, just set wind states to zero
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_state.wind_vel.setZero(); |
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} |
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// initialise diagonal of covariance matrix for the wind velocity states
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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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// calculate variances and upper diagonal covariances for wind states
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nextP[0][22] = P[0][22] + P[1][22]*SF[9] + P[2][22]*SF[11] + P[3][22]*SF[10] + P[10][22]*SF[14] + P[11][22]*SF[15] + P[12][22]*SPP[10]; |
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