Genetic Algorithm Utilization to Fine Tune the Parameters of PID Controller

Ghaith Majd Fadhil, I. Abed, R. S. Jasim
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引用次数: 3

Abstract

In this paper, the genetic algorithm (GA) which is a stochastic optimization algorithm is proposed. The genetic algorithm is echoing the natural selection and genetics. The control of the suggested plant can be done in different ways. Genetics are used to solve the problem that will be in the system that is represented by the response, ripple, and overshoot. Here, the proportional, integral, and derivative (PID) controller is used. The Kp,,Ki , and Kd of PID are controlled using a genetic algorithm. Then the procedures of GA are given which are implemented in Matlab 2018a. Also, the output response is compared with the set value to check the ability of GA to get the optimal solution. Through simulated results, there is a high response to the system, as well as the ripple, and the overshoot decreased significantly compared to the conventional method in control.
遗传算法在PID控制器参数整定中的应用
本文提出了一种随机优化算法——遗传算法。遗传算法与自然选择和遗传学相呼应。可以用不同的方法来控制所建议的植物。遗传学被用来解决系统中由反应、涟漪和超调所代表的问题。这里,比例,积分和导数(PID)控制器被使用。PID的Kp、Ki、Kd采用遗传算法进行控制。然后给出了遗传算法的实现步骤,并在Matlab 2018a中实现。并将输出响应与设定值进行比较,检验遗传算法获得最优解的能力。仿真结果表明,与常规控制方法相比,该控制方法对系统有较高的响应,且纹波明显减小,超调量明显减小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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