Optimizing the PID Controller by Using the Genetic Algorithm

Muhammad Abdurrahman; Moamer Abdullbagi  Omer Nourain; Mohammed Omer  Abdulsalam  Muhieeddeen; Omer Hafiz  ALnour Mahjoub; Manareldeen Adil  Hassan Ahmed

doi:10.52981/fjes.v11i2.1929

Muhammad Abdurrahman Abdulkhalig
Moamer Abdullbagi Omer Nourain Omdurman Islamic University
Mohammed Omer Abdulsalam Muhieeddeen Omdurman Islamic University
Omer Hafiz ALnour Mahjoub Omdurman Islamic University
Manareldeen Adil Hassan Ahmed Omdurman Islamic University

DOI: https://doi.org/10.52981/fjes.v11i2.1929

Keywords: AVR system, Genetic Algorithm, PID controller, PID Optimization.

Abstract

This paper aims to develop a Proportional Integral Derivative (PID) controller for the Automatic Voltage Regulator (AVR) of the Synchronous Generator, Automatic Voltage Regulator is responsible for keeping the output voltage of the Generator constant and stable. The Automatic Voltage Regulator system can be represented by a fourth order Transfer Function. The parameters of the controller are evaluated by using the Genetic Algorithm tuning method, for this method the Genetic Algorithm Optimization toolbox in MATLAB is used. A PID controller and a PID Filter controller are developed in order to come up with the optimum controller design for the system. The performance of the Genetic Algorithm based controller has been compared with the classical Ziegler-Nichols based controller. The results show that the Genetic Algorithm based controller outperforms the Ziegler-Nichols based controller, the optimum controller design is achieved by the GA based PID filter controller.

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