ekf2: migrate mag declination to SymForce

This commit is contained in:
bresch 2022-10-19 11:57:13 +02:00 committed by Daniel Agar
parent 7786437a19
commit 2f3ea88099
5 changed files with 184 additions and 46 deletions

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@ -47,6 +47,7 @@
#include "python/ekf_derivation/generated/compute_mag_z_innov_var_and_h.h"
#include "python/ekf_derivation/generated/compute_yaw_321_innov_var_and_h.h"
#include "python/ekf_derivation/generated/compute_yaw_312_innov_var_and_h.h"
#include "python/ekf_derivation/generated/compute_mag_declination_innov_innov_var_and_h.h"
#include <mathlib/mathlib.h>
@ -333,63 +334,24 @@ bool Ekf::fuseYaw(const float innovation, const float variance, estimator_aid_so
bool Ekf::fuseDeclination(float decl_sigma)
{
// assign intermediate state variables
const float magN = _state.mag_I(0);
const float magE = _state.mag_I(1);
// minimum North field strength before calculation becomes badly conditioned (T)
constexpr float N_field_min = 0.001f;
// observation variance (rad**2)
const float R_DECL = sq(decl_sigma);
// Calculate intermediate variables
if (fabsf(magN) < sq(N_field_min)) {
// calculation is badly conditioned close to +-90 deg declination
return false;
}
Vector24f H;
float innovation;
float innovation_variance;
const float HK0 = ecl::powf(magN, -2);
const float HK1 = HK0*ecl::powf(magE, 2) + 1.0F;
const float HK2 = 1.0F/HK1;
const float HK3 = 1.0F/magN;
const float HK4 = HK2*HK3;
const float HK5 = HK3*magE;
const float HK6 = HK5*P(16,17) - P(17,17);
const float HK7 = ecl::powf(HK1, -2);
const float HK8 = HK5*P(16,16) - P(16,17);
const float innovation_variance = -HK0*HK6*HK7 + HK7*HK8*magE/ecl::powf(magN, 3) + R_DECL;
float HK9;
sym::ComputeMagDeclinationInnovInnovVarAndH(getStateAtFusionHorizonAsVector(), P, getMagDeclination(), R_DECL, FLT_EPSILON, &innovation, &innovation_variance, &H);
if (innovation_variance > R_DECL) {
HK9 = HK4/innovation_variance;
} else {
if (innovation_variance < R_DECL) {
// variance calculation is badly conditioned
return false;
}
// Calculate the observation Jacobian
// Note only 2 terms are non-zero which can be used in matrix operations for calculation of Kalman gains and covariance update to significantly reduce cost
// Note Hfusion indices do not match state indices
SparseVector24f<16,17> Hfusion;
Hfusion.at<16>() = -HK0*HK2*magE;
Hfusion.at<17>() = HK4;
SparseVector24f<16,17> Hfusion(H);
// Calculate the Kalman gains
Vector24f Kfusion;
for (unsigned row = 0; row <= 15; row++) {
Kfusion(row) = -HK9*(HK5*P(row,16) - P(row,17));
}
Kfusion(16) = -HK8*HK9;
Kfusion(17) = -HK6*HK9;
for (unsigned row = 18; row <= 23; row++) {
Kfusion(row) = -HK9*(HK5*P(16,row) - P(17,row));
}
const float innovation = math::constrain(atan2f(magE, magN) - getMagDeclination(), -0.5f, 0.5f);
Vector24f Kfusion = P * Hfusion / innovation_variance;
const bool is_fused = measurementUpdate(Kfusion, Hfusion, innovation);

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@ -321,6 +321,22 @@ def compute_yaw_312_innov_var_and_h_alternate(
return (innov_var, H.T)
def compute_mag_declination_innov_innov_var_and_h(
state: VState,
P: MState,
meas: sf.Scalar,
R: sf.Scalar,
epsilon: sf.Scalar
) -> (sf.Scalar, VState):
meas_pred = sf.atan2(state[State.iy], state[State.ix], epsilon=epsilon)
innov = meas_pred - meas
H = sf.V1(meas_pred).jacobian(state)
innov_var = (H * P * H.T + R)[0,0]
return (innov, innov_var, H.T)
print("Derive EKF2 equations...")
generate_px4_function(compute_airspeed_innov_and_innov_var, output_names=["innov", "innov_var"])
generate_px4_function(compute_airspeed_h_and_k, output_names=["H", "K"])
@ -335,3 +351,4 @@ generate_px4_function(compute_yaw_321_innov_var_and_h, output_names=["innov_var"
generate_px4_function(compute_yaw_321_innov_var_and_h_alternate, output_names=["innov_var", "H"])
generate_px4_function(compute_yaw_312_innov_var_and_h, output_names=["innov_var", "H"])
generate_px4_function(compute_yaw_312_innov_var_and_h_alternate, output_names=["innov_var", "H"])
generate_px4_function(compute_mag_declination_innov_innov_var_and_h, output_names=["innov", "innov_var", "H"])

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@ -0,0 +1,74 @@
// -----------------------------------------------------------------------------
// This file was autogenerated by symforce from template:
// backends/cpp/templates/function/FUNCTION.h.jinja
// Do NOT modify by hand.
// -----------------------------------------------------------------------------
#pragma once
#include <matrix/math.hpp>
namespace sym {
/**
* This function was autogenerated from a symbolic function. Do not modify by hand.
*
* Symbolic function: compute_mag_declination_innov_innov_var_and_h
*
* Args:
* state: Matrix24_1
* P: Matrix24_24
* meas: Scalar
* R: Scalar
* epsilon: Scalar
*
* Outputs:
* innov: Scalar
* innov_var: Scalar
* H: Matrix24_1
*/
template <typename Scalar>
void ComputeMagDeclinationInnovInnovVarAndH(const matrix::Matrix<Scalar, 24, 1>& state,
const matrix::Matrix<Scalar, 24, 24>& P,
const Scalar meas, const Scalar R, const Scalar epsilon,
Scalar* const innov = nullptr,
Scalar* const innov_var = nullptr,
matrix::Matrix<Scalar, 24, 1>* const H = nullptr) {
// Total ops: 23
// Input arrays
// Intermediate terms (4)
const Scalar _tmp0 =
epsilon * ((((state(16, 0)) > 0) - ((state(16, 0)) < 0)) + Scalar(0.5)) + state(16, 0);
const Scalar _tmp1 =
Scalar(1.0) / (std::pow(_tmp0, Scalar(2)) + std::pow(state(17, 0), Scalar(2)));
const Scalar _tmp2 = _tmp1 * state(17, 0);
const Scalar _tmp3 = _tmp0 * _tmp1;
// Output terms (3)
if (innov != nullptr) {
Scalar& _innov = (*innov);
_innov = -meas + std::atan2(state(17, 0), _tmp0);
}
if (innov_var != nullptr) {
Scalar& _innov_var = (*innov_var);
_innov_var = R - _tmp2 * (-P(16, 16) * _tmp2 + P(17, 16) * _tmp3) +
_tmp3 * (-P(16, 17) * _tmp2 + P(17, 17) * _tmp3);
}
if (H != nullptr) {
matrix::Matrix<Scalar, 24, 1>& _H = (*H);
_H.setZero();
_H(16, 0) = -_tmp2;
_H(17, 0) = _tmp3;
}
} // NOLINT(readability/fn_size)
// NOLINTNEXTLINE(readability/fn_size)
} // namespace sym

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@ -50,6 +50,7 @@ px4_add_unit_gtest(SRC test_EKF_height_fusion.cpp LINKLIBS ecl_EKF ecl_sensor_si
px4_add_unit_gtest(SRC test_EKF_imuSampling.cpp LINKLIBS ecl_EKF ecl_sensor_sim)
px4_add_unit_gtest(SRC test_EKF_initialization.cpp LINKLIBS ecl_EKF ecl_sensor_sim)
px4_add_unit_gtest(SRC test_EKF_mag_3d_fusion_generated.cpp LINKLIBS ecl_EKF ecl_test_helper)
px4_add_unit_gtest(SRC test_EKF_mag_declination_generated.cpp LINKLIBS ecl_EKF ecl_test_helper)
px4_add_unit_gtest(SRC test_EKF_measurementSampling.cpp LINKLIBS ecl_EKF ecl_sensor_sim)
px4_add_unit_gtest(SRC test_EKF_ringbuffer.cpp LINKLIBS ecl_EKF ecl_sensor_sim)
px4_add_unit_gtest(SRC test_EKF_sideslip_fusion_generated.cpp LINKLIBS ecl_EKF ecl_test_helper)

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@ -0,0 +1,84 @@
/****************************************************************************
*
* Copyright (C) 2022 PX4 Development Team. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in
* the documentation and/or other materials provided with the
* distribution.
* 3. Neither the name PX4 nor the names of its contributors may be
* used to endorse or promote products derived from this software
* without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS
* OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED
* AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*
****************************************************************************/
#include <gtest/gtest.h>
#include "EKF/ekf.h"
#include "test_helper/comparison_helper.h"
#include "../EKF/python/ekf_derivation/generated/compute_mag_declination_innov_innov_var_and_h.h"
using namespace matrix;
TEST(MagDeclinationGenerated, declination90deg)
{
// GIVEN: an estimated mag declination of 90 degrees
Vector24f state_vector{};
state_vector(16) = 0.f; // North mag field
state_vector(17) = 0.2f; // East mag field
const float R = sq(radians(sq(0.5f)));
SquareMatrix24f P = createRandomCovarianceMatrix24f();
Vector24f H;
float innov;
float innov_var;
const float decl = radians(90.f);
sym::ComputeMagDeclinationInnovInnovVarAndH(state_vector, P, decl, R, FLT_EPSILON, &innov, &innov_var, &H);
// THEN: Even at the singularity point, atan2 is still defined
EXPECT_TRUE(innov_var < 5000.f && innov_var > R) << "innov_var = " << innov_var;
EXPECT_LT(fabsf(innov), 1e-6f);
}
TEST(MagDeclinationGenerated, declinationUndefined)
{
// GIVEN: an undefined declination
Vector24f state_vector{};
state_vector(16) = 0.f; // North mag field
state_vector(17) = 0.f; // East mag field
const float R = sq(radians(sq(0.5f)));
SquareMatrix24f P = createRandomCovarianceMatrix24f();
Vector24f H;
float innov;
float innov_var;
const float decl = radians(0.f);
sym::ComputeMagDeclinationInnovInnovVarAndH(state_vector, P, decl, R, FLT_EPSILON, &innov, &innov_var, &H);
// THEN: the innovation variance is gigantic but finite
EXPECT_TRUE(PX4_ISFINITE(innov_var) && innov_var > R && innov_var > 1e9f) << "innov_var = " << innov_var;
EXPECT_LT(fabsf(innov), 1e-6f);
}