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/*
* Copyright 2019 Netflix, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.netflix.control.controllers;
import com.google.common.util.concurrent.AtomicDouble;
import com.netflix.control.IController;
/**
* The Feedback Principle: Constantly compare the actual output to the
* setpoint; then apply a corrective action in the proper direction and
* approximately of the correct size.
*
* Iteratively applying changes in the correct direction allows this
* system to converge onto the correct value over time.
*
*/
public class PIDController extends IController {
private final Double kp; // Proportional Gain
private final Double ki; // Integral Gain
private final Double kd; // Derivative Gain
private Double previous = 0.0;
private final double deltaT;
private final AtomicDouble dampener;
private Double integral = 0.0;
private Double derivative = 0.0;
/**
* Implements a Proportional-Integral-Derivative (PID) three term control
* system.
*
* @param kp The gain for the proportional component of the controller.
* @param ki The gain for the integral component of the controller.
* @param kd The gain for the derivative component of the controller.
* @param deltaT The time delta. A useful default is 1.0.
* @param dampener A dampening signal which can be used for gain scheduling.
*
* Setting the gain for an individual component disables said
* component. For example setting kd to 0.0 creates a PI (two term) control
* system.
*
* Gain scheduling is a method of manipulating the behavior of a PID
* controller at runtime. The concept is that different gain schedules might
* be appropriate at different times. Some examples;
*
* Oscillation: High gain can exacerbate and even cause oscillation.
* Chaos Kong: Increasing gain to accelerate scale ups.
*/
public PIDController(Double kp, Double ki, Double kd, Double deltaT, AtomicDouble dampener) {
this.kp = kp;
this.ki = ki;
this.kd = kd;
this.deltaT = deltaT;
this.dampener = dampener;
}
public PIDController(Double kp, Double ki, Double kd, Double deltaT) {
this(kp, ki, kd, deltaT, new AtomicDouble(1.0));
}
@Override
public Double processStep(Double error) {
this.integral += this.deltaT * error;
this.derivative = (error - this.previous) / this.deltaT;
this.previous = error;
double d = this.dampener.get();
return this.kp * d * error
+ this.ki * d * this.integral
+ this.kd * d * this.derivative;
}
public static PIDController of(Double kp, Double ki, Double kd, AtomicDouble dampener) {
return new PIDController(kp, ki, kd, 1.0, dampener);
}
public static PIDController of(Double kp, Double ki, Double kd, Double deltaT) {
return new PIDController(kp, ki, kd, deltaT);
}
public static PIDController of(Double kp, Double ki, Double kd) {
return new PIDController(kp, ki, kd, 1.0, new AtomicDouble(1.0));
}
public AtomicDouble getDampener() {
return this.dampener;
}
}