Improved moth flame optimisation succored FOPID controller of integrated industrial processes with delay time
by R. Anuja; Mary A.G. Ezhil; M. Dhiviya Nycil
International Journal of Artificial Intelligence and Soft Computing (IJAISC), Vol. 8, No. 2, 2024

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.

Online publication date: Thu, 04-Jul-2024

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