Using non-monopolize search for fast and optimal PID tuning of AVR system

Mohd Hanif, Mohd Ikhmil Fadzrizan and Ahmad, Mohd Ashraf and Mohd Rashid, Muhammad Ikram and Suid, Mohd Helmi and Mohd Tumari, Mohd Zaidi (2024) Using non-monopolize search for fast and optimal PID tuning of AVR system. In: 2024 International Conference on System Science and Engineering (ICSSE), 26 June 2024 through 28 June 2024, Hsinchu, Taiwan.

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Abstract

Voltage regulation within automatic voltage regulator (AVR) systems presents a significant engineering challenge due to uncertain load conditions. Consequently, employing a PID-based controller is crucial for maintaining AVR system performance. Recently, there has been a growing interest in utilizing better optimization tools to tune the PID control parameters, providing an advantage in enhancing AVR system output response while maintaining the robustness and simplicity of PID controller. However, existing optimization tools for tuning PID controllers, particularly those based on multi-agent optimization, often involve many function evaluations, resulting in high computational burdens. This study introduces a novel approach using a new non-monopolize (NO) search algorithm to tune the PID controller in AVR systems. The NO search method, which is in the class of single agent-based optimization techniques, requires fewer number of function evaluations per iteration, addressing the computational burden issue. Simulation analyses, including convergence curve of the fitness function, time response specification analysis of step response, stability analysis using Bode plot, computational effort analysis based on number of function evaluations (NFE), are conducted to assess the efficacy of the proposed NO-based PID controller for AVR systems. The results indicate that the proposed NO-based PID controller is highly effective in producing better function of demerit (FOD) with less values of NFE in comparison with other existing well-known based methods.

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty Of Electrical Technology And Engineering
Depositing User:	NUR FARISAH JAFRIN
Date Deposited:	22 Jul 2026 00:16
Last Modified:	22 Jul 2026 00:16
URI:	http://eprints.utem.edu.my/id/eprint/29851
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