Title: A modified presidential election algorithm for optimal tuning of proportional-integral-derivative controller

Authors: Hojjat Emami

Addresses: Department of Computer Engineering, University of Bonab, Bonab, Iran

Abstract: This paper uses a socio-politically inspired meta-heuristic algorithm based on the behaviour of voters and candidates named modified presidential election algorithm (PEA-II) for proportional-integral-derivative (PID) controller design. The incentive mechanism of PEA-II is enhancing the knowledge sharing and search capability of the canonical presidential election algorithm (PEA) by introducing a new positive advertisement and migration operator. By the new positive advertisement, PEA-II employs the best local and global knowledge of the agents to conduct the searching process in the solution space. The migration operator maintains diversity in the population and keeps the algorithm away from converging too fast before exploring the entire solution space. The proposed approach is evaluated using three well-known PID controller plants. The results show the superiority of the proposed algorithm in comparison with other counterparts.

Keywords: engineering optimisation problem; control; PID tuning; modified presidential election algorithm; PEA-II.

DOI: 10.1504/IJOR.2023.135489

International Journal of Operational Research, 2023 Vol.48 No.4, pp.562 - 592

Received: 17 Jun 2020
Accepted: 28 Mar 2021
Published online: 15 Dec 2023 *

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