use matrix lib to enable building for posix

This commit is contained in:
Roman
2015-11-07 11:41:15 +01:00
parent 4abff89be0
commit 2719789b2e
2 changed files with 30 additions and 29 deletions
@@ -46,9 +46,9 @@ TerrainEstimator::TerrainEstimator() :
_time_last_distance(0),
_time_last_gps(0)
{
_x.zero();
memset(&_x._data[0], 0, sizeof(_x._data));
_u_z = 0.0f;
_P.identity();
_P.setIdentity();
}
bool TerrainEstimator::is_distance_valid(float distance) {
@@ -63,9 +63,9 @@ void TerrainEstimator::predict(float dt, const struct vehicle_attitude_s *attitu
const struct distance_sensor_s *distance)
{
if (attitude->R_valid) {
math::Matrix<3, 3> R_att(attitude->R);
math::Vector<3> a(&sensor->accelerometer_m_s2[0]);
math::Vector<3> u;
matrix::Matrix<float, 3, 3> R_att(attitude->R);
matrix::Vector<float, 3> a(&sensor->accelerometer_m_s2[0]);
matrix::Vector<float, 3> u;
u = R_att * a;
_u_z = u(2) + 9.81f; // compensate for gravity
@@ -74,32 +74,32 @@ void TerrainEstimator::predict(float dt, const struct vehicle_attitude_s *attitu
}
// dynamics matrix
math::Matrix<n_x, n_x> A;
A.zero();
matrix::Matrix<float, n_x, n_x> A;
A.setZero();
A(0,1) = 1;
A(1,2) = 1;
// input matrix
math::Matrix<n_x,1> B;
B.zero();
matrix::Matrix<float, n_x,1> B;
B.setZero();
B(1,0) = 1;
// input noise variance
float R = 0.135f;
// process noise convariance
math::Matrix<n_x, n_x> Q;
matrix::Matrix<float, n_x, n_x> Q;
Q(0,0) = 0;
Q(1,1) = 0;
// do prediction
math::Vector<n_x> dx = (A * _x) * dt;
matrix::Vector<float, n_x> dx = (A * _x) * dt;
dx(1) += B(1,0) * _u_z * dt;
// propagate state and covariance matrix
_x += dx;
_P += (A * _P + _P * A.transposed() +
B * R * B.transposed() + Q) * dt;
_P += (A * _P + _P * A.transpose() +
B * R * B.transpose() + Q) * dt;
}
void TerrainEstimator::measurement_update(uint64_t time_ref, const struct vehicle_gps_position_s *gps, const struct distance_sensor_s *distance,
@@ -114,21 +114,21 @@ void TerrainEstimator::measurement_update(uint64_t time_ref, const struct vehicl
float d = distance->current_distance;
math::Matrix<1, n_x> C;
matrix::Matrix<float, 1, n_x> C;
C(0, 0) = -1; // measured altitude,
float R = 0.009f;
math::Vector<1> y;
matrix::Vector<float, 1> y;
y(0) = d * cosf(attitude->roll) * cosf(attitude->pitch);
// residual
math::Matrix<1, 1> S_I = (C * _P * C.transposed());
matrix::Matrix<float, 1, 1> S_I = (C * _P * C.transpose());
S_I(0,0) += R;
S_I = S_I.inversed();
math::Vector<1> r = y - C * _x;
S_I = matrix::inv<float, 1> (S_I);
matrix::Vector<float, 1> r = y - C * _x;
math::Matrix<n_x, 1> K = _P * C.transposed() * S_I;
matrix::Matrix<float, n_x, 1> K = _P * C.transpose() * S_I;
// some sort of outlayer rejection
if (fabsf(distance->current_distance - _distance_last) < 1.0f) {
@@ -149,21 +149,21 @@ void TerrainEstimator::measurement_update(uint64_t time_ref, const struct vehicl
}
if (gps->timestamp_position > _time_last_gps && gps->fix_type >= 3) {
math::Matrix<1, n_x> C;
matrix::Matrix<float, 1, n_x> C;
C(0,1) = 1;
float R = 0.056f;
math::Vector<1> y;
matrix::Vector<float, 1> y;
y(0) = gps->vel_d_m_s;
// residual
math::Matrix<1, 1> S_I = (C * _P * C.transposed());
matrix::Matrix<float, 1, 1> S_I = (C * _P * C.transpose());
S_I(0,0) += R;
S_I = S_I.inversed();
math::Vector<1> r = y - C * _x;
S_I = matrix::inv<float, 1>(S_I);
matrix::Vector<float, 1> r = y - C * _x;
math::Matrix<n_x, 1> K = _P * C.transposed() * S_I;
matrix::Matrix<float, n_x, 1> K = _P * C.transpose() * S_I;
_x += K * r;
_P -= K * C * _P;
@@ -187,8 +187,8 @@ void TerrainEstimator::measurement_update(uint64_t time_ref, const struct vehicl
}
if (reinit) {
_x.zero();
_P.zero();
memset(&_x._data[0], 0, sizeof(_x._data));
_P.setZero();
_P(0,0) = _P(1,1) = _P(2,2) = 0.1f;
}
@@ -36,6 +36,7 @@
*/
#include <lib/mathlib/mathlib.h>
#include "matrix/Matrix.hpp"
#include <uORB/topics/sensor_combined.h>
#include <uORB/topics/vehicle_gps_position.h>
#include <uORB/topics/vehicle_attitude.h>
@@ -75,9 +76,9 @@ private:
bool _terrain_valid;
// kalman filter variables
math::Vector<n_x> _x; // state: ground distance, velocity, accel bias in z direction
matrix::Vector<float, n_x> _x; // state: ground distance, velocity, accel bias in z direction
float _u_z; // acceleration in earth z direction
math::Matrix<3, 3> _P; // covariance matrix
matrix::Matrix<float, 3, 3> _P; // covariance matrix
// timestamps
uint64_t _time_last_distance;