Citation

Goud, Harsh and Chandra Sharma, Prakash and Nisar, Kashif and Ag. Ibrahim, Ag. Asri and Haque, Muhammad Reazul and Singh Yadav, Narendra and Swarnkar, Pankaj and Gupta, Manoj and Chand, Laxmi (2022) PSO Based Multi-Objective Approach for Controlling PID Controller. Computers, Materials & Continua, 71 (3). pp. 4409-4423. ISSN 1546-2226

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Abstract

CSTR (Continuous stirred tank reactor) is employed in process control and chemical industries to improve response characteristics and system efficiency. It has a highly nonlinear characteristic that includes complexities in its control and design. Dynamic performance is compassionate to change in system parameters which need more effort for planning a significant controller for CSTR. The reactor temperature changes in either direction from the defined reference value. It is important to note that the intensity of chemical actions inside the CSTR is dependent on the various levels of temperature, and deviation from reference values may cause degradation of biomass quality. Design and implementation of an appropriate adaptive controller for such a nonlinear system are essential. In this paper, a conventional Proportional Integral Derivative (PID) controller is designed. The conventional techniques to deal with constraints suffer severe limitations like it has fixed controller parameters. Hence, A novel method is applied for computing the PID controller parameters using a swarm algorithm that overcomes the conventional controller's limitation. In the proposed technique, PID parameters are tuned by Particle Swarm Optimization (PSO). It is not easy to choose the suitable objective function to design a PID controller using PSO to get an optimal response. In this article, a multi-objective function is proposed for PSO based controller design of CSTR.

Item Type:	Article
Uncontrolled Keywords:	Particle swarm optimization, multi-objective PSO, continuous stirred tank reactor, proportional integral derivative controller
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	04 Feb 2022 02:29
Last Modified:	04 Feb 2022 02:29
URII:	http://shdl.mmu.edu.my/id/eprint/9940

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