Design of centralized controller for multivariable process using MOPSO algorithm

G Sivagurunathan; R Kotteeswaran; M Suresh; A Kirthini Godweena

doi:10.17485/IJST/v14i26.539

Article

Design of centralized controller for multivariable process using MOPSO algorithm

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Indian Journal of Science and Technology

DOI: 10.17485/IJST/v14i26.539

Year: 2021, Volume: 14, Issue: 26, Pages: 2223-2237

Original Article

Design of centralized controller for multivariable process using MOPSO algorithm

G Sivagurunathan^1*, R Kotteeswaran², M Suresh², A Kirthini Godweena¹

¹Department of Electronics and Instrumentation Engineering, St. Joseph’s College of Engineering, Chennai, 600119, Tamil Nadu, India
²Department of Instrumentation and Control Engineering, St. Joseph’s College of Engineering, Chennai, 600119, Tamil Nadu, India

*Corresponding Author
Email: [email protected]

Received Date:23 April 2021, Accepted Date:02 July 2021, Published Date:31 July 2021

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Objective: To estimate centralized PID controller parameters for 4 outputs and 5 inputs crude distillation non-square system with RHP zeros process. Methods/Analysis: The Multi- Objective Particle Swam Optimization (MOPSO) algorithm is applied to determine the PID controller parameters for the considered distillation column process. Findings: The performance of the proposed controller is compared with two centralized controller schemes, Davison’s and Tanttu and Lieslehto methods. The Integral Square Error (ISE), Integral Absolute Error (IAE) and Integral of Time Absolute Error (ITAE) are chosen as performance indices. The simulation results prove that MOPSO tuned centralized controller gives the best performance when compared to other analytical techniques for both set point tracking and in disturbance rejection environment. Novelty: In practice, conventional PID controllers are tuned using classical methods, which require complex numerical calculations. In this paper, an attempt is made to fine tune the PID controller for a MIMO process using Multi Objective optimization technique and obtained challenging results as compared to conventional methods.

Keywords: Nonsquare system; Centralized control; Multi Objective Particle Swam Optimization; PID controller

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Copyright

© 2021 Sivagurunathan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)