blob: 6e927b0f7d48000c6f84ff4bd1851af8f7859f96 [file] [log] [blame]
#ifndef FRC971_CONTROL_LOOPS_COERCE_GOAL_H_
#define FRC971_CONTROL_LOOPS_COERCE_GOAL_H_
#include "Eigen/Dense"
#include "aos/controls/polytope.h"
namespace frc971 {
namespace control_loops {
template <typename Scalar = double>
Eigen::Matrix<Scalar, 2, 1> DoCoerceGoal(
const aos::controls::HVPolytope<2, 4, 4, Scalar> &region,
const Eigen::Matrix<Scalar, 1, 2> &K, Scalar w,
const Eigen::Matrix<Scalar, 2, 1> &R, bool *is_inside);
// Intersects a line with a region, and finds the closest point to R.
// Finds a point that is closest to R inside the region, and on the line
// defined by K X = w. If it is not possible to find a point on the line,
// finds a point that is inside the region and closest to the line.
template <typename Scalar = double>
static inline Eigen::Matrix<Scalar, 2, 1> CoerceGoal(
const aos::controls::HVPolytope<2, 4, 4, Scalar> &region,
const Eigen::Matrix<Scalar, 1, 2> &K, Scalar w,
const Eigen::Matrix<Scalar, 2, 1> &R) {
return DoCoerceGoal(region, K, w, R, nullptr);
}
template <typename Scalar>
Eigen::Matrix<Scalar, 2, 1> DoCoerceGoal(
const aos::controls::HVPolytope<2, 4, 4, Scalar> &region,
const Eigen::Matrix<Scalar, 1, 2> &K, Scalar w,
const Eigen::Matrix<Scalar, 2, 1> &R, bool *is_inside) {
if (region.IsInside(R)) {
if (is_inside) *is_inside = true;
return R;
}
Eigen::Matrix<Scalar, 2, 1> parallel_vector;
Eigen::Matrix<Scalar, 2, 1> perpendicular_vector;
perpendicular_vector = K.transpose().normalized();
parallel_vector << perpendicular_vector(1, 0), -perpendicular_vector(0, 0);
Eigen::Matrix<Scalar, 4, 1> projectedh = region.static_H() * parallel_vector;
Eigen::Matrix<Scalar, 4, 1> projectedk =
region.static_k() - region.static_H() * perpendicular_vector * w;
Scalar min_boundary = ::std::numeric_limits<Scalar>::lowest();
Scalar max_boundary = ::std::numeric_limits<Scalar>::max();
for (int i = 0; i < 4; ++i) {
if (projectedh(i, 0) > 0) {
max_boundary =
::std::min(max_boundary, projectedk(i, 0) / projectedh(i, 0));
} else {
min_boundary =
::std::max(min_boundary, projectedk(i, 0) / projectedh(i, 0));
}
}
Eigen::Matrix<Scalar, 1, 2> vertices;
vertices << max_boundary, min_boundary;
if (max_boundary > min_boundary) {
Scalar min_distance_sqr = 0;
Eigen::Matrix<Scalar, 2, 1> closest_point;
for (int i = 0; i < vertices.innerSize(); i++) {
Eigen::Matrix<Scalar, 2, 1> point;
point = parallel_vector * vertices(0, i) + perpendicular_vector * w;
const Scalar length = (R - point).squaredNorm();
if (i == 0 || length < min_distance_sqr) {
closest_point = point;
min_distance_sqr = length;
}
}
if (is_inside) *is_inside = true;
return closest_point;
} else {
Eigen::Matrix<Scalar, 2, 4> region_vertices = region.StaticVertices();
#ifdef __linux__
CHECK_GT(reinterpret_cast<ssize_t>(region_vertices.outerSize()), 0);
#else
assert(region_vertices.outerSize() > 0);
#endif
Scalar min_distance = INFINITY;
int closest_i = 0;
for (int i = 0; i < region_vertices.outerSize(); i++) {
const Scalar length = ::std::abs(
(perpendicular_vector.transpose() * (region_vertices.col(i)))(0, 0));
if (i == 0 || length < min_distance) {
closest_i = i;
min_distance = length;
}
}
if (is_inside) *is_inside = false;
return (Eigen::Matrix<Scalar, 2, 1>() << region_vertices(0, closest_i),
region_vertices(1, closest_i))
.finished();
}
}
} // namespace control_loops
} // namespace frc971
#endif // FRC971_CONTROL_LOOPS_COERCE_GOAL_H_