Comparative study of temperature control using metaheuristic and non-metaheuristic controllers

Min Keng Tan and Kiam Beng Yeo and Heng Jin Tham and Soo Siang Yang and Mohamed Azlan Hussain and Kenneth Tze Kin Teo (2019) Comparative study of temperature control using metaheuristic and non-metaheuristic controllers.

	Text Comparative study of temperature control using metaheuristic and non-metaheuristic controllers-ABSTRACT.pdf Download (59kB)
	Text Comparative study of temperature control using metaheuristic and non-metaheuristic controllers.pdf Restricted to Registered users only Download (3MB) \| Request a copy

Official URL: https://ieeexplore.ieee.org/abstract/document/9117...

Abstract

This paper presents a metaheuristic-based temperature controller for an exothermic batch process. Developing a suitable temperature controller for an exothermic process is a challenging task because large amount of heat is released rapidly during the process. The exothermic behavior will further increase the reaction rate and cause more heat to be liberated. As the result, the improper temperature control might cause the reaction becomes unstable and consequently poses safety concern to the plant personnel and equipment. The conventional non-metaheuristic-based controller, such as fuzzy logic requires empirical data or knowledge about the total amount heat released while developing its fuzzy rules and membership functions for precision control. However, the detailed kinetic model of the heat released is unable to be obtained since there are several unobservable parameters during the process, such as the energy held in the reactor and jacket walls. Therefore, particle swarm optimization algorithm (PSO) is proposed as the controller to maintain the reactor temperature at the desired trajectory by manipulating the inlet jacket fluid temperature and flow rate. The simulation results show the proposed PSO produces better performances in terms of minimizing fluctuation in control actions and overshooting as compared with the conventional fuzzy logic controller.

Item Type:	Proceedings
Keyword:	Temperature control , Exothermic batch process , Particle swarm optimization , Fuzzy logic
Subjects:	Q Science > QC Physics > QC1-999 Physics > QC251-338.5 Heat
Department:	FACULTY > Faculty of Engineering
Depositing User:	DG MASNIAH AHMAD -
Date Deposited:	22 Dec 2021 08:51
Last Modified:	22 Dec 2021 08:51
URI:	https://eprints.ums.edu.my/id/eprint/31459

Actions (login required)

View Item