Open Access

ARTICLE

PSO Based Multi-Objective Approach for Controlling PID Controller

by Harsh Goud¹, Prakash Chandra Sharma², Kashif Nisar³, Ag. Asri Ag. Ibrahim^3,*, Muhammad Reazul Haque⁴, Narendra Singh Yadav², Pankaj Swarnkar⁵, Manoj Gupta⁶, Laxmi Chand⁶

1 Indian Institute of Information Technology, Nagpur, India
2 School of Computing & Information Technology, Manipal University, Jaipur (Rajasthan), India
3 Faculty of Computing and Informatics, University Malaysia Sabah, Jalan UMS, 88400, Kota Kinabalu Sabah, Malaysia
4 Faculty of Computing & Informatics, Multimedia University, Persiaran Multimedia, 63100, Cyberjaya, Selangor, Malaysia
5 Maulana Azad National Institute of Technology, Bhopal, India
6 Department of Electronics and Communication Engineering, JECRC University, Jaipur (Rajasthan), India

* Corresponding Author: Ag. Asri Ag. Ibrahim. Email:

Computers, Materials & Continua 2022, 71(3), 4409-4423. https://doi.org/10.32604/cmc.2022.019217

Received 06 April 2021; Accepted 21 June 2021; Issue published 14 January 2022

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.

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Citations