Genetic Algorithm Utilization to Fine Tune the Parameters of PID Controller

Authors

  • Ghaith Majd Fadhil Engineering Technical College, Southern Technical University
  • Issa Ahmed Abed Engineering Technical College, Southern Technical University
  • Rasheed Sabah Jasim Engineering Technical College, Southern Technical University

DOI:

https://doi.org/10.30572/2018/KJE/120201

Keywords:

PID, Optimization, Plant, Genetic algorithm

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.

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Published

2021-05-19

How to Cite

Fadhil, G., I. . Abed, and R. . Jasim. “Genetic Algorithm Utilization to Fine Tune the Parameters of PID Controller”. Kufa Journal of Engineering, vol. 12, no. 2, May 2021, pp. 1-12, doi:10.30572/2018/KJE/120201.