Title: Predictive functional control based on particle swarm optimisation algorithm for MIMO process with time delay

Authors: Hamid Ghadiri; Hamed Khodadadi; S. Ehsan Razavi

Addresses: Faculty of Electrical, Biomedical and Mechatronics Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran ' Department of Electrical Engineering, Khomeinishahr Branch, Islamic Azad University, Isfahan, Iran ' Department of Electrical Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran

Abstract: The present study aims to propose a method for designing a predictive functional control (PFC) based on the particle swarm optimisation (PSO) algorithm for the multi-input multi-output (MIMO) process with time delay. Due to the cross-coupling, time delay, and other MIMO industrial process challenges, the classical controller could not overcome the system challenges. PFC is a model-based predictive controller that uses the state-space equations of the system. According to the results, the optimisation problem is resolved using the PSO for determining the optimal controller parameters. The incorporated PFC and PSO's performance as the proposed controller is evaluated using simulations on the chamber pressure coke furnace as a MIMO process with time-delay. The simulation results demonstrate that the PFC variables tuned by the PSO approach have better performance compared to the conventional PFC, especially in the presence of disturbances and uncertainty.

Keywords: multi-input multi-output; MIMO; time delay; predictive functional control; PFC; particle swarm optimisation; PSO; chamber pressure.

DOI: 10.1504/IJMIC.2021.123383

International Journal of Modelling, Identification and Control, 2021 Vol.39 No.1, pp.29 - 38

Received: 25 Dec 2020
Accepted: 06 Apr 2021

Published online: 16 May 2022 *

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