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All Journal Vokasi UNESA Bulletin of Engineering, Technology and Applied Science
Aliyu, Yunusa
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Computer Science & IT Engineering Mechanical Engineering Transportation

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PID controller tuning for an AVR system using Particle Swarm Optimisation Techniques and Genetic Algorithm Techniques; A comparison based approach Sabo, Aliyu; Bawa, Mahmud; Yakubu, Yunusa; Ngyarmunta , Alan Audu; Aliyu, Yunusa; Musa, Alama; Katun, Mohamed
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 2 No. 2 (2025)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v2i2.36821

Abstract

This paper presents the tuning of a Proportional-Integral-Derivative (PID) controller for an Automatic Voltage Regulator (AVR) system using a metaheuristic optimization technique. The aim is to enhance the system's dynamic response by minimizing overshoot, settling time, and steady-state error. Particle Swarm Optimization (PSO), a robust and widely applied metaheuristic technique, was selected due to its simplicity and efficiency in exploring the search space for optimal solutions. The AVR system was modelled and simulated using MATLAB and the performance of the optimized PID controller was analyzed and compared with a traditional manually tuned PID controller. The results show a significant improvement in system performance with the PSO-tuned PID controller, validating the potential of metaheuristic optimization for PID tuning in control systems.
Co-Authors Bawa, Mahmud Katun, Mohamed Musa, Alama Ngyarmunta , Alan Audu Sabo, Aliyu Yakubu, Yunusa