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allwpilib/wpimath/src/test/native/cpp/controller/LinearQuadraticRegulatorTest.cpp
2024-05-15 07:23:22 -06:00

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// Copyright (c) FIRST and other WPILib contributors.
// Open Source Software; you can modify and/or share it under the terms of
// the WPILib BSD license file in the root directory of this project.
#include <cmath>
#include <gtest/gtest.h>
#include "frc/EigenCore.h"
#include "frc/controller/LinearQuadraticRegulator.h"
#include "frc/system/LinearSystem.h"
#include "frc/system/plant/DCMotor.h"
#include "frc/system/plant/LinearSystemId.h"
#include "units/time.h"
namespace frc {
TEST(LinearQuadraticRegulatorTest, ElevatorGains) {
LinearSystem<2, 1, 1> plant = [] {
auto motors = DCMotor::Vex775Pro(2);
// Carriage mass
constexpr auto m = 5_kg;
// Radius of pulley
constexpr auto r = 0.0181864_m;
// Gear ratio
constexpr double G = 40.0 / 40.0;
return frc::LinearSystemId::ElevatorSystem(motors, m, r, G).Slice(0);
}();
Matrixd<1, 2> K =
LinearQuadraticRegulator<2, 1>{plant, {0.02, 0.4}, {12.0}, 5.05_ms}.K();
EXPECT_NEAR(522.15314269, K(0, 0), 1e-6);
EXPECT_NEAR(38.20138596, K(0, 1), 1e-6);
}
TEST(LinearQuadraticRegulatorTest, ArmGains) {
LinearSystem<2, 1, 1> plant = [] {
auto motors = DCMotor::Vex775Pro(2);
// Carriage mass
constexpr auto m = 4_kg;
// Radius of pulley
constexpr auto r = 0.4_m;
// Gear ratio
constexpr double G = 100.0;
return frc::LinearSystemId::SingleJointedArmSystem(motors,
1.0 / 3.0 * m * r * r, G)
.Slice(0);
}();
Matrixd<1, 2> K =
LinearQuadraticRegulator<2, 1>{plant, {0.01745, 0.08726}, {12.0}, 5.05_ms}
.K();
EXPECT_NEAR(19.16, K(0, 0), 1e-1);
EXPECT_NEAR(3.32, K(0, 1), 1e-1);
}
TEST(LinearQuadraticRegulatorTest, FourMotorElevator) {
LinearSystem<2, 1, 1> plant = [] {
auto motors = DCMotor::Vex775Pro(4);
// Carriage mass
constexpr auto m = 8_kg;
// Radius of pulley
constexpr auto r = 0.75_in;
// Gear ratio
constexpr double G = 14.67;
return frc::LinearSystemId::ElevatorSystem(motors, m, r, G).Slice(0);
}();
Matrixd<1, 2> K =
LinearQuadraticRegulator<2, 1>{plant, {0.1, 0.2}, {12.0}, 20_ms}.K();
EXPECT_NEAR(10.38, K(0, 0), 1e-1);
EXPECT_NEAR(0.69, K(0, 1), 1e-1);
}
/**
* Returns feedback control gain for implicit model following.
*
* This is used to test the QRN overload of LQR.
*
* @tparam States Number of states.
* @tparam Inputs Number of inputs.
* @param A State matrix.
* @param B Input matrix.
* @param Q State cost matrix.
* @param R Input cost matrix.
* @param Aref Desired state matrix.
* @param dt Discretization timestep.
*/
template <int States, int Inputs>
Matrixd<Inputs, States> GetImplicitModelFollowingK(
const Matrixd<States, States>& A, const Matrixd<States, Inputs>& B,
const Matrixd<States, States>& Q, const Matrixd<Inputs, Inputs>& R,
const Matrixd<States, States>& Aref, units::second_t dt) {
// Discretize real dynamics
Matrixd<States, States> discA;
Matrixd<States, Inputs> discB;
DiscretizeAB<States, Inputs>(A, B, dt, &discA, &discB);
// Discretize desired dynamics
Matrixd<States, States> discAref;
DiscretizeA<States>(Aref, dt, &discAref);
Matrixd<States, States> Qimf =
(discA - discAref).transpose() * Q * (discA - discAref);
Matrixd<Inputs, Inputs> Rimf = discB.transpose() * Q * discB + R;
Matrixd<States, Inputs> Nimf = (discA - discAref).transpose() * Q * discB;
return LinearQuadraticRegulator<States, Inputs>{A, B, Qimf, Rimf, Nimf, dt}
.K();
}
TEST(LinearQuadraticRegulatorTest, MatrixOverloadsWithSingleIntegrator) {
Matrixd<2, 2> A{Matrixd<2, 2>::Zero()};
Matrixd<2, 2> B{Matrixd<2, 2>::Identity()};
Matrixd<2, 2> Q{Matrixd<2, 2>::Identity()};
Matrixd<2, 2> R{Matrixd<2, 2>::Identity()};
// QR overload
Matrixd<2, 2> K = LinearQuadraticRegulator<2, 2>{A, B, Q, R, 5_ms}.K();
EXPECT_NEAR(0.99750312499512261, K(0, 0), 1e-10);
EXPECT_NEAR(0.0, K(0, 1), 1e-10);
EXPECT_NEAR(0.0, K(1, 0), 1e-10);
EXPECT_NEAR(0.99750312499512261, K(1, 1), 1e-10);
// QRN overload
Matrixd<2, 2> N{Matrixd<2, 2>::Identity()};
Matrixd<2, 2> Kimf = LinearQuadraticRegulator<2, 2>{A, B, Q, R, N, 5_ms}.K();
EXPECT_NEAR(1.0, Kimf(0, 0), 1e-10);
EXPECT_NEAR(0.0, Kimf(0, 1), 1e-10);
EXPECT_NEAR(0.0, Kimf(1, 0), 1e-10);
EXPECT_NEAR(1.0, Kimf(1, 1), 1e-10);
}
TEST(LinearQuadraticRegulatorTest, MatrixOverloadsWithDoubleIntegrator) {
double Kv = 3.02;
double Ka = 0.642;
Matrixd<2, 2> A{{0, 1}, {0, -Kv / Ka}};
Matrixd<2, 1> B{{0}, {1.0 / Ka}};
Matrixd<2, 2> Q{{1, 0}, {0, 0.2}};
Matrixd<1, 1> R{0.25};
// QR overload
Matrixd<1, 2> K = LinearQuadraticRegulator<2, 1>{A, B, Q, R, 5_ms}.K();
EXPECT_NEAR(1.9960017786537287, K(0, 0), 1e-10);
EXPECT_NEAR(0.51182128351092726, K(0, 1), 1e-10);
// QRN overload
Matrixd<2, 2> Aref{{0, 1}, {0, -Kv / (Ka * 5.0)}};
Matrixd<1, 2> Kimf = GetImplicitModelFollowingK<2, 1>(A, B, Q, R, Aref, 5_ms);
EXPECT_NEAR(0.0, Kimf(0, 0), 1e-10);
EXPECT_NEAR(-6.9190500116751458e-05, Kimf(0, 1), 1e-10);
}
TEST(LinearQuadraticRegulatorTest, LatencyCompensate) {
LinearSystem<2, 1, 1> plant = [] {
auto motors = DCMotor::Vex775Pro(4);
// Carriage mass
constexpr auto m = 8_kg;
// Radius of pulley
constexpr auto r = 0.75_in;
// Gear ratio
constexpr double G = 14.67;
return frc::LinearSystemId::ElevatorSystem(motors, m, r, G).Slice(0);
}();
LinearQuadraticRegulator<2, 1> controller{plant, {0.1, 0.2}, {12.0}, 0.02_s};
controller.LatencyCompensate(plant, 0.02_s, 0.01_s);
EXPECT_NEAR(8.97115941, controller.K(0, 0), 1e-3);
EXPECT_NEAR(0.07904881, controller.K(0, 1), 1e-3);
}
} // namespace frc