Package edu.wpi.first.math.controller

Class LinearQuadraticRegulator<States extends Num,Inputs extends Num,Outputs extends Num>

java.lang.Object

edu.wpi.first.math.controller.LinearQuadraticRegulator<States,Inputs,Outputs>

public class LinearQuadraticRegulator<States extends Num,Inputs extends Num,Outputs extends Num>
extends Object

Contains the controller coefficients and logic for a linear-quadratic regulator (LQR). LQRs use the control law u = K(r - x).

For more on the underlying math, read https://file.tavsys.net/control/controls-engineering-in-frc.pdf.

Constructor Summary

Constructors

Constructor	Description
LinearQuadraticRegulator(Matrix<States,States> A, Matrix<States,Inputs> B, Matrix<States,States> Q, Matrix<Inputs,Inputs> R, double dtSeconds)	Constructs a controller with the given coefficients and plant.
LinearQuadraticRegulator(Matrix<States,States> A, Matrix<States,Inputs> B, Matrix<States,States> Q, Matrix<Inputs,Inputs> R, Matrix<States,Inputs> N, double dtSeconds)	Constructs a controller with the given coefficients and plant.
LinearQuadraticRegulator(Matrix<States,States> A, Matrix<States,Inputs> B, Vector<States> qelms, Vector<Inputs> relms, double dtSeconds)	Constructs a controller with the given coefficients and plant.
LinearQuadraticRegulator(LinearSystem<States,Inputs,Outputs> plant, Vector<States> qelms, Vector<Inputs> relms, double dtSeconds)	Constructs a controller with the given coefficients and plant.

Method Summary

Modifier and Type	Method	Description
Matrix<Inputs,N1>	calculate(Matrix<States,N1> x)	Returns the next output of the controller.
Matrix<Inputs,N1>	calculate(Matrix<States,N1> x, Matrix<States,N1> nextR)	Returns the next output of the controller.
Matrix<Inputs,States>	getK()	Returns the controller matrix K.
Matrix<States,N1>	getR()	Returns the reference vector r.
double	getR(int row)	Returns an element of the reference vector r.
Matrix<Inputs,N1>	getU()	Returns the control input vector u.
double	getU(int row)	Returns an element of the control input vector u.
void	latencyCompensate(LinearSystem<States,Inputs,Outputs> plant, double dtSeconds, double inputDelaySeconds)	Adjusts LQR controller gain to compensate for a pure time delay in the input.
void	reset()	Resets the controller.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

LinearQuadraticRegulator

public LinearQuadraticRegulator(LinearSystem<States,Inputs,Outputs> plant, Vector<States> qelms, Vector<Inputs> relms, double dtSeconds)

Constructs a controller with the given coefficients and plant. Rho is defaulted to 1.

Parameters:

plant - The plant being controlled.

qelms - The maximum desired error tolerance for each state.

relms - The maximum desired control effort for each input.

dtSeconds - Discretization timestep.

Throws:

IllegalArgumentException - If the system is uncontrollable.

LinearQuadraticRegulator

public LinearQuadraticRegulator(Matrix<States,States> A, Matrix<States,Inputs> B, Vector<States> qelms, Vector<Inputs> relms, double dtSeconds)

Constructs a controller with the given coefficients and plant.

Parameters:

A - Continuous system matrix of the plant being controlled.

B - Continuous input matrix of the plant being controlled.

qelms - The maximum desired error tolerance for each state.

relms - The maximum desired control effort for each input.

dtSeconds - Discretization timestep.

Throws:

IllegalArgumentException - If the system is uncontrollable.

LinearQuadraticRegulator

public LinearQuadraticRegulator(Matrix<States,States> A, Matrix<States,Inputs> B, Matrix<States,States> Q, Matrix<Inputs,Inputs> R, double dtSeconds)

Constructs a controller with the given coefficients and plant.

Parameters:

A - Continuous system matrix of the plant being controlled.

B - Continuous input matrix of the plant being controlled.

Q - The state cost matrix.

R - The input cost matrix.

dtSeconds - Discretization timestep.

Throws:

IllegalArgumentException - If the system is uncontrollable.

LinearQuadraticRegulator

public LinearQuadraticRegulator(Matrix<States,States> A, Matrix<States,Inputs> B, Matrix<States,States> Q, Matrix<Inputs,Inputs> R, Matrix<States,Inputs> N, double dtSeconds)

Constructs a controller with the given coefficients and plant.

Parameters:

A - Continuous system matrix of the plant being controlled.

B - Continuous input matrix of the plant being controlled.

Q - The state cost matrix.

R - The input cost matrix.

N - The state-input cross-term cost matrix.

dtSeconds - Discretization timestep.

Throws:

IllegalArgumentException - If the system is uncontrollable.

Method Details

getU

public Matrix<Inputs,N1> getU()

Returns the control input vector u.

Returns:

The control input.

getU

public double getU(int row)

Returns an element of the control input vector u.

Parameters:

row - Row of u.

Returns:

The row of the control input vector.

getR

public Matrix<States,N1> getR()

Returns the reference vector r.

Returns:

The reference vector.

getR

public double getR(int row)

Returns an element of the reference vector r.

Parameters:

row - Row of r.

Returns:

The row of the reference vector.

getK

public Matrix<Inputs,States> getK()

Returns the controller matrix K.

Returns:

the controller matrix K.

reset

public void reset()

Resets the controller.

calculate

public Matrix<Inputs,N1> calculate(Matrix<States,N1> x)

Returns the next output of the controller.

Parameters:

x - The current state x.

Returns:

The next controller output.

calculate

public Matrix<Inputs,N1> calculate(Matrix<States,N1> x, Matrix<States,N1> nextR)

Returns the next output of the controller.

Parameters:

x - The current state x.

nextR - the next reference vector r.

Returns:

The next controller output.

latencyCompensate

public void latencyCompensate(LinearSystem<States,Inputs,Outputs> plant, double dtSeconds, double inputDelaySeconds)

Adjusts LQR controller gain to compensate for a pure time delay in the input.

Linear-Quadratic regulator controller gains tend to be aggressive. If sensor measurements are time-delayed too long, the LQR may be unstable. However, if we know the amount of delay, we can compute the control based on where the system will be after the time delay.

See https://file.tavsys.net/control/controls-engineering-in-frc.pdf appendix C.4 for a derivation.

Parameters:

plant - The plant being controlled.

dtSeconds - Discretization timestep in seconds.

inputDelaySeconds - Input time delay in seconds.