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Tuning PID Controller Using Genetic Algorithms for Electro-Hydraulic System with Tracking Force Control

机译:使用跟踪力控制的电动液压系统遗传算法调谐PID控制器

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The aim of this paper is design a controller for force control of an Electro-Hydraulic System and selection of a PID gains are using genetic algorithm. The mathematical model is considered as the Newton second law and compressible fluid flow theory. This paper compares two kinds of tuning methods for PID controller. One is the controller design by the genetic algorithm, second is the controller design by the Ziegler and Nichols method. Each PID gains are tested with step input function, square signal, half-sine signal and half-saw signal. And results show performance index with rise time, settling time and Maximum %OS. It was found that the proposed PID gains tuning by the genetic algorithm is better than the Ziegler & Nichols' method.
机译:本文的目的是设计一种用于力控制电液系统的控制器,并且使用遗传算法的PID增益选择。数学模型被认为是牛顿第二法和可压缩流体流动理论。本文比较了PID控制器的两种调整方法。一个是通过遗传算法设计的控制器设计,第二个是Ziegler和Nichols方法的控制器设计。使用步进输入功能,方形信号,半正弦信号和半锯信号测试每个PID增益。结果显示具有上升时间,安定时间和最大%OS的性能指数。发现,所提出的PID增益通过遗传算法调整优于Ziegler&Nichols的方法。

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