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[wpimath] Clean up math comments (#4252)
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@@ -81,25 +81,25 @@ public class CubicHermiteSpline extends Spline {
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private SimpleMatrix makeHermiteBasis() {
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if (hermiteBasis == null) {
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// Given P(i), P'(i), P(i+1), P'(i+1), the control vectors, we want to find
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// the coefficients of the spline P(t) = a3 * t^3 + a2 * t^2 + a1 * t + a0.
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// the coefficients of the spline P(t) = a₃t³ + a₂t² + a₁t + a₀.
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//
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// P(i) = P(0) = a0
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// P'(i) = P'(0) = a1
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// P(i+1) = P(1) = a3 + a2 + a1 + a0
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// P'(i+1) = P'(1) = 3 * a3 + 2 * a2 + a1
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// P(i) = P(0) = a₀
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// P'(i) = P'(0) = a₁
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// P(i+1) = P(1) = a₃ + a₂ + a₁ + a₀
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// P'(i+1) = P'(1) = 3a₃ + 2a₂ + a₁
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//
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// [ P(i) ] = [ 0 0 0 1 ][ a3 ]
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// [ P'(i) ] = [ 0 0 1 0 ][ a2 ]
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// [ P(i+1) ] = [ 1 1 1 1 ][ a1 ]
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// [ P'(i+1) ] = [ 3 2 1 0 ][ a0 ]
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// [P(i) ] = [0 0 0 1][a₃]
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// [P'(i) ] = [0 0 1 0][a₂]
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// [P(i+1) ] = [1 1 1 1][a₁]
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// [P'(i+1)] = [3 2 1 0][a₀]
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//
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// To solve for the coefficients, we can invert the 4x4 matrix and move it
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// to the other side of the equation.
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//
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// [ a3 ] = [ 2 1 -2 1 ][ P(i) ]
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// [ a2 ] = [ -3 -2 3 -1 ][ P'(i) ]
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// [ a1 ] = [ 0 1 0 0 ][ P(i+1) ]
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// [ a0 ] = [ 1 0 0 0 ][ P'(i+1) ]
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// [a₃] = [ 2 1 -2 1][P(i) ]
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// [a₂] = [-3 -2 3 -1][P'(i) ]
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// [a₁] = [ 0 1 0 0][P(i+1) ]
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// [a₀] = [ 1 0 0 0][P'(i+1)]
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hermiteBasis =
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new SimpleMatrix(
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4,
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@@ -80,33 +80,33 @@ public class QuinticHermiteSpline extends Spline {
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*/
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private SimpleMatrix makeHermiteBasis() {
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if (hermiteBasis == null) {
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// Given P(i), P'(i), P''(i), P(i+1), P'(i+1), P''(i+1), the control
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// vectors, we want to find the coefficients of the spline
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// P(t) = a5 * t^5 + a4 * t^4 + a3 * t^3 + a2 * t^2 + a1 * t + a0.
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// Given P(i), P'(i), P"(i), P(i+1), P'(i+1), P"(i+1), the control vectors,
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// we want to find the coefficients of the spline
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// P(t) = a₅t⁵ + a₄t⁴ + a₃t³ + a₂t² + a₁t + a₀.
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//
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// P(i) = P(0) = a0
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// P'(i) = P'(0) = a1
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// P''(i) = P''(0) = 2 * a2
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// P(i+1) = P(1) = a5 + a4 + a3 + a2 + a1 + a0
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// P'(i+1) = P'(1) = 5 * a5 + 4 * a4 + 3 * a3 + 2 * a2 + a1
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// P''(i+1) = P''(1) = 20 * a5 + 12 * a4 + 6 * a3 + 2 * a2
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// P(i) = P(0) = a₀
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// P'(i) = P'(0) = a₁
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// P''(i) = P"(0) = 2a₂
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// P(i+1) = P(1) = a₅ + a₄ + a₃ + a₂ + a₁ + a₀
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// P'(i+1) = P'(1) = 5a₅ + 4a₄ + 3a₃ + 2a₂ + a₁
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// P"(i+1) = P"(1) = 20a₅ + 12a₄ + 6a₃ + 2a₂
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//
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// [ P(i) ] = [ 0 0 0 0 0 1 ][ a5 ]
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// [ P'(i) ] = [ 0 0 0 0 1 0 ][ a4 ]
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// [ P''(i) ] = [ 0 0 0 2 0 0 ][ a3 ]
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// [ P(i+1) ] = [ 1 1 1 1 1 1 ][ a2 ]
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// [ P'(i+1) ] = [ 5 4 3 2 1 0 ][ a1 ]
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// [ P''(i+1) ] = [ 20 12 6 2 0 0 ][ a0 ]
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// [P(i) ] = [ 0 0 0 0 0 1][a₅]
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// [P'(i) ] = [ 0 0 0 0 1 0][a₄]
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// [P"(i) ] = [ 0 0 0 2 0 0][a₃]
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// [P(i+1) ] = [ 1 1 1 1 1 1][a₂]
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// [P'(i+1)] = [ 5 4 3 2 1 0][a₁]
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// [P"(i+1)] = [20 12 6 2 0 0][a₀]
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//
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// To solve for the coefficients, we can invert the 6x6 matrix and move it
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// to the other side of the equation.
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//
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// [ a5 ] = [ -6.0 -3.0 -0.5 6.0 -3.0 0.5 ][ P(i) ]
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// [ a4 ] = [ 15.0 8.0 1.5 -15.0 7.0 -1.0 ][ P'(i) ]
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// [ a3 ] = [ -10.0 -6.0 -1.5 10.0 -4.0 0.5 ][ P''(i) ]
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// [ a2 ] = [ 0.0 0.0 0.5 0.0 0.0 0.0 ][ P(i+1) ]
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// [ a1 ] = [ 0.0 1.0 0.0 0.0 0.0 0.0 ][ P'(i+1) ]
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// [ a0 ] = [ 1.0 0.0 0.0 0.0 0.0 0.0 ][ P''(i+1) ]
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// [a₅] = [ -6.0 -3.0 -0.5 6.0 -3.0 0.5][P(i) ]
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// [a₄] = [ 15.0 8.0 1.5 -15.0 7.0 -1.0][P'(i) ]
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// [a₃] = [-10.0 -6.0 -1.5 10.0 -4.0 0.5][P"(i) ]
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// [a₂] = [ 0.0 0.0 0.5 0.0 0.0 0.0][P(i+1) ]
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// [a₁] = [ 0.0 1.0 0.0 0.0 0.0 0.0][P'(i+1)]
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// [a₀] = [ 1.0 0.0 0.0 0.0 0.0 0.0][P"(i+1)]
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hermiteBasis =
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new SimpleMatrix(
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6,
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@@ -211,7 +211,7 @@ public final class LinearSystemId {
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}
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/**
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* Identify a velocity system from it's kV (volts/(unit/sec)) and kA (volts/(unit/sec^2). These
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* Identify a velocity system from it's kV (volts/(unit/sec)) and kA (volts/(unit/sec²). These
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* constants cam be found using SysId. The states of the system are [velocity], inputs are
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* [voltage], and outputs are [velocity].
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*
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@@ -241,7 +241,7 @@ public final class LinearSystemId {
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}
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/**
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* Identify a position system from it's kV (volts/(unit/sec)) and kA (volts/(unit/sec^2). These
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* Identify a position system from it's kV (volts/(unit/sec)) and kA (volts/(unit/sec²). These
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* constants cam be found using SysId. The states of the system are [position, velocity]ᵀ, inputs
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* are [voltage], and outputs are [position].
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*
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@@ -272,8 +272,8 @@ public final class LinearSystemId {
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/**
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* Identify a standard differential drive drivetrain, given the drivetrain's kV and kA in both
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* linear (volts/(meter/sec) and volts/(meter/sec^2)) and angular (volts/(meter/sec) and
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* volts/(meter/sec^2)) cases. This can be found using SysId. The states of the system are [left
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* linear (volts/(meter/sec) and volts/(meter/sec²)) and angular (volts/(meter/sec) and
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* volts/(meter/sec²)) cases. This can be found using SysId. The states of the system are [left
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* velocity, right velocity]ᵀ, inputs are [left voltage, right voltage]ᵀ, and outputs are [left
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* velocity, right velocity]ᵀ.
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*
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@@ -316,8 +316,8 @@ public final class LinearSystemId {
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/**
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* Identify a standard differential drive drivetrain, given the drivetrain's kV and kA in both
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* linear (volts/(meter/sec) and volts/(meter/sec^2)) and angular (volts/(radian/sec) and
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* volts/(radian/sec^2)) cases. This can be found using SysId. The states of the system are [left
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* linear (volts/(meter/sec) and volts/(meter/sec²)) and angular (volts/(radian/sec) and
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* volts/(radian/sec²)) cases. This can be found using SysId. The states of the system are [left
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* velocity, right velocity]ᵀ, inputs are [left voltage, right voltage]ᵀ, and outputs are [left
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* velocity, right velocity]ᵀ.
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*
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@@ -332,7 +332,7 @@ public class Trajectory {
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final double newV = velocityMetersPerSecond + (accelerationMetersPerSecondSq * deltaT);
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// Calculate the change in position.
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// delta_s = v_0 t + 0.5 at^2
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// delta_s = v_0 t + 0.5at²
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final double newS =
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(velocityMetersPerSecond * deltaT
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+ 0.5 * accelerationMetersPerSecondSq * Math.pow(deltaT, 2))
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@@ -90,7 +90,7 @@ public final class TrajectoryParameterizer {
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// acceleration, since acceleration limits may be a function of velocity.
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while (true) {
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// Enforce global max velocity and max reachable velocity by global
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// acceleration limit. vf = std::sqrt(vi^2 + 2*a*d).
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// acceleration limit. v_f = √(v_i² + 2ad).
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constrainedState.maxVelocityMetersPerSecond =
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Math.min(
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maxVelocityMetersPerSecond,
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@@ -164,7 +164,7 @@ public final class TrajectoryParameterizer {
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while (true) {
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// Enforce max velocity limit (reverse)
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// vf = std::sqrt(vi^2 + 2*a*d), where vi = successor.
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// v_f = √(v_i² + 2ad), where v_i = successor.
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double newMaxVelocity =
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Math.sqrt(
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successor.maxVelocityMetersPerSecond * successor.maxVelocityMetersPerSecond
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@@ -38,12 +38,12 @@ public class CentripetalAccelerationConstraint implements TrajectoryConstraint {
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@Override
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public double getMaxVelocityMetersPerSecond(
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Pose2d poseMeters, double curvatureRadPerMeter, double velocityMetersPerSecond) {
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// ac = v^2 / r
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// k (curvature) = 1 / r
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// ac = v²/r
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// k (curvature) = 1/r
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// therefore, ac = v^2 * k
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// ac / k = v^2
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// v = std::sqrt(ac / k)
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// therefore, ac = v²k
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// ac/k = v²
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// v = √(ac/k)
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return Math.sqrt(
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m_maxCentripetalAccelerationMetersPerSecondSq / Math.abs(curvatureRadPerMeter));
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@@ -65,11 +65,16 @@ public class EllipticalRegionConstraint implements TrajectoryConstraint {
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* @return Whether the robot pose is within the constraint region.
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*/
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public boolean isPoseInRegion(Pose2d robotPose) {
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// The region (disk) bounded by the ellipse is given by the equation:
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// ((x-h)^2)/Rx^2) + ((y-k)^2)/Ry^2) <= 1
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// The region bounded by the ellipse is given by the equation:
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//
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// (x−h)²/Rx² + (y−k)²/Ry² ≤ 1
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//
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// Multiply by Rx²Ry² for efficiency reasons:
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//
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// (x−h)²Ry² + (y−k)²Rx² ≤ Rx²Ry²
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//
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// If the inequality is satisfied, then it is inside the ellipse; otherwise
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// it is outside the ellipse.
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// Both sides have been multiplied by Rx^2 * Ry^2 for efficiency reasons.
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return Math.pow(robotPose.getX() - m_center.getX(), 2) * Math.pow(m_radii.getY(), 2)
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+ Math.pow(robotPose.getY() - m_center.getY(), 2) * Math.pow(m_radii.getX(), 2)
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<= Math.pow(m_radii.getX(), 2) * Math.pow(m_radii.getY(), 2);
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