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Peter Johnson
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// Copyright (c) FIRST and other WPILib contributors.
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// Open Source Software; you can modify and/or share it under the terms of
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// the WPILib BSD license file in the root directory of this project.
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#pragma once
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#include <array>
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#include <units/current.h>
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#include <units/time.h>
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#include "frc/EigenCore.h"
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#include "frc/StateSpaceUtil.h"
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#include "frc/system/LinearSystem.h"
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namespace frc::sim {
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/**
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* This class helps simulate linear systems. To use this class, do the following
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* in the simulationPeriodic() method.
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*
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* Call the SetInput() method with the inputs to your system (generally
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* voltage). Call the Update() method to update the simulation. Set simulated
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* sensor readings with the simulated positions in the GetOutput() method.
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*
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* @tparam States Number of states of the system.
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* @tparam Inputs Number of inputs to the system.
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* @tparam Outputs Number of outputs of the system.
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*/
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template <int States, int Inputs, int Outputs>
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class LinearSystemSim {
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public:
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/**
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* Creates a simulated generic linear system.
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*
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* @param system The system to simulate.
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* @param measurementStdDevs The standard deviations of the measurements.
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*/
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explicit LinearSystemSim(
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const LinearSystem<States, Inputs, Outputs>& system,
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const std::array<double, Outputs>& measurementStdDevs = {})
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: m_plant(system), m_measurementStdDevs(measurementStdDevs) {
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m_x = Vectord<States>::Zero();
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m_y = Vectord<Outputs>::Zero();
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m_u = Vectord<Inputs>::Zero();
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}
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virtual ~LinearSystemSim() = default;
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/**
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* Updates the simulation.
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*
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* @param dt The time between updates.
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*/
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void Update(units::second_t dt) {
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// Update x. By default, this is the linear system dynamics xₖ₊₁ = Axₖ +
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// Buₖ.
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m_x = UpdateX(m_x, m_u, dt);
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// yₖ = Cxₖ + Duₖ
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m_y = m_plant.CalculateY(m_x, m_u);
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// Add noise. If the user did not pass a noise vector to the
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// constructor, then this method will not do anything because
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// the standard deviations default to zero.
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m_y += frc::MakeWhiteNoiseVector<Outputs>(m_measurementStdDevs);
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}
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/**
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* Returns the current output of the plant.
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*
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* @return The current output of the plant.
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*/
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const Vectord<Outputs>& GetOutput() const { return m_y; }
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/**
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* Returns an element of the current output of the plant.
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*
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* @param row The row to return.
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* @return An element of the current output of the plant.
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*/
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double GetOutput(int row) const { return m_y(row); }
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/**
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* Sets the system inputs (usually voltages).
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*
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* @param u The system inputs.
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*/
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void SetInput(const Vectord<Inputs>& u) { m_u = u; }
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/**
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* Sets the system inputs.
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*
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* @param row The row in the input matrix to set.
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* @param value The value to set the row to.
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*/
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void SetInput(int row, double value) { m_u(row, 0) = value; }
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/**
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* Returns the current input of the plant.
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*
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* @return The current input of the plant.
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*/
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const Vectord<Inputs>& GetInput() const { return m_u; }
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/**
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* Returns an element of the current input of the plant.
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*
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* @param row The row to return.
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* @return An element of the current input of the plant.
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*/
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double GetInput(int row) const { return m_u(row); }
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/**
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* Sets the system state.
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*
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* @param state The new state.
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*/
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void SetState(const Vectord<States>& state) {
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m_x = state;
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// Update the output to reflect the new state.
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//
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// yₖ = Cxₖ + Duₖ
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m_y = m_plant.CalculateY(m_x, m_u);
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}
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protected:
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/**
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* Updates the state estimate of the system.
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*
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* @param currentXhat The current state estimate.
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* @param u The system inputs (usually voltage).
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* @param dt The time difference between controller updates.
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*/
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virtual Vectord<States> UpdateX(const Vectord<States>& currentXhat,
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const Vectord<Inputs>& u,
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units::second_t dt) {
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return m_plant.CalculateX(currentXhat, u, dt);
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}
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/**
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* Clamp the input vector such that no element exceeds the given voltage. If
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* any does, the relative magnitudes of the input will be maintained.
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*
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* @param maxInput The maximum magnitude of the input vector after clamping.
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*/
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void ClampInput(double maxInput) {
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m_u = frc::DesaturateInputVector<Inputs>(m_u, maxInput);
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}
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/// The plant that represents the linear system.
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LinearSystem<States, Inputs, Outputs> m_plant;
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/// State vector.
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Vectord<States> m_x;
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/// Input vector.
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Vectord<Inputs> m_u;
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/// Output vector.
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Vectord<Outputs> m_y;
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/// The standard deviations of measurements, used for adding noise to the
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/// measurements.
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std::array<double, Outputs> m_measurementStdDevs;
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};
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} // namespace frc::sim
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