Genetic Algorithm Utilization to Fine Tune the Parameters of PID Controller
Keywords:PID, Optimization, Plant, Genetic algorithm
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.
How to Cite
Copyright (c) 2021 Kufa Journal of Engineering
This work is licensed under a Creative Commons Attribution 4.0 International License.