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[wpilib] Add function to adjust LQR controller gain for pure time delay (#2878)
There were three options for where to put this function: 1. A free function in LinearQuadraticRegulator.h. Returning a K matrix means the user can't use the LinearQuadraticRegulator in a loop anymore. 2. A default argument added to ctors in LinearQuadraticRegulator for a time delay (default of 0). This has the smallest API footprint from the user perspective, but it bloats the already substantial constructor overload set of LinearQuadraticRegulator. 3. A member function in LinearQuadraticRegulator that modifies the internal K. This would still have to take in a LinearSystem or (A, B) pair because the ctor doesn't store it. Storing it internally feels like paying for what we don't use most of the time. I went with option 3. I verified the tests's expected values in Python with scipy.linalg.fractional_matrix_power(). Closes #2877.
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@@ -69,11 +69,21 @@ public final class WPIMathJNI {
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* Computes the matrix exp.
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*
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* @param src Array of elements of the matrix to be exponentiated.
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* @param rows how many rows there are.
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* @param rows How many rows there are.
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* @param dst Array where the result will be stored.
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*/
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public static native void exp(double[] src, int rows, double[] dst);
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/**
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* Computes the matrix pow.
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*
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* @param src Array of elements of the matrix to be raised to a power.
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* @param rows How many rows there are.
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* @param exponent The exponent.
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* @param dst Array where the result will be stored.
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*/
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public static native void pow(double[] src, int rows, double exponent, double[] dst);
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/**
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* Returns true if (A, B) is a stabilizable pair.
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*
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@@ -211,4 +211,30 @@ public class LinearQuadraticRegulator<States extends Num, Inputs extends Num,
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m_r = nextR;
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return calculate(x);
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}
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/**
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* Adjusts LQR controller gain to compensate for a pure time delay in the
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* input.
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*
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* <p>Linear-Quadratic regulator controller gains tend to be aggressive. If
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* sensor measurements are time-delayed too long, the LQR may be unstable.
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* However, if we know the amount of delay, we can compute the control based
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* on where the system will be after the time delay.
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*
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* <p>See https://file.tavsys.net/control/controls-engineering-in-frc.pdf
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* appendix C.4 for a derivation.
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*
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* @param plant The plant being controlled.
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* @param dtSeconds Discretization timestep in seconds.
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* @param inputDelaySeconds Input time delay in seconds.
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*/
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public void latencyCompensate(
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LinearSystem<States, Inputs, Outputs> plant, double dtSeconds,
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double inputDelaySeconds) {
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var discABPair = Discretization.discretizeAB(plant.getA(), plant.getB(), dtSeconds);
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var discA = discABPair.getFirst();
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var discB = discABPair.getSecond();
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m_K = m_K.times((discA.minus(discB.times(m_K))).pow(inputDelaySeconds / dtSeconds));
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}
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}
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@@ -368,6 +368,25 @@ public class Matrix<R extends Num, C extends Num> {
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return toReturn;
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}
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/**
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* Computes the matrix power using Eigen's solver.
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* This method only works for square matrices, and will
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* otherwise throw an {@link MatrixDimensionException}.
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*
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* @param exponent The exponent.
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* @return The exponential of A.
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*/
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public final Matrix<R, C> pow(double exponent) {
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if (this.getNumRows() != this.getNumCols()) {
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throw new MatrixDimensionException("Non-square matrices cannot be raised to a power! "
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+ "This matrix is " + this.getNumRows() + " x " + this.getNumCols());
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}
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Matrix<R, C> toReturn = new Matrix<>(new SimpleMatrix(this.getNumRows(), this.getNumCols()));
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WPIMathJNI.pow(this.m_storage.getDDRM().getData(), this.getNumRows(), exponent,
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toReturn.m_storage.getDDRM().getData());
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return toReturn;
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}
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/**
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* Returns the determinant of this matrix.
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*
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