Title: Improved moth flame optimisation succored FOPID controller of integrated industrial processes with delay time

Authors: R. Anuja; Mary A.G. Ezhil; M. Dhiviya Nycil

Addresses: Electrical Engineering, Anna University, Chennai, Tamil Nadu – 600025, India ' Electrical Engineering, Anna University, Chennai, Tamil Nadu – 600025, India ' Electrical Engineering, Anna University, Chennai, Tamil Nadu – 600025, India

Abstract: The control of industrial process in the presence of delay time is a demanding benchmark control issue. The conventional feedback controllers and tuning approaches do not provide the controller with enough robustness to prevent delay time. Using a conventional control scheme is ineffective, and so the fractional order proportional integral derivative controller (FOPIDC) is preferred. This paper focuses an efficient optimisation control for industrial processes with delay time. The proposed technique is the execution of the improved moth flame optimisation (IMFO) scheme. This paper concentrated on three main contributions to the optimal tuning of the parameters of the FOPID controller, such as crow search optimisation (CSO) control, whale algorithm optimisation (WAO) and the proposed IMFO control. The performances of the methods are evaluated based on transient responses, convergence rate and bode plot-based stability analysis to demonstrate the effectiveness of the proposed IMFO technique in enhanced system operation.

Keywords: delay time; tuning of FOPID; IMFO algorithm; crow search optimisation; CSO; algorithm; whale algorithm optimisation; WAO algorithm.

DOI: 10.1504/IJAISC.2024.139609

International Journal of Artificial Intelligence and Soft Computing, 2024 Vol.8 No.2, pp.159 - 172

Received: 15 Sep 2023
Accepted: 15 May 2024
Published online: 04 Jul 2024 *

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