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Modelling and Simulation in Engineering
Volume 2014, Article ID 504706, 16 pages
http://dx.doi.org/10.1155/2014/504706
Research Article

Optimal Tuning of Decentralized PI Controller of Nonlinear Multivariable Process Using Archival Based Multiobjective Particle Swarm Optimization

1Department of Instrumentation and Control Engineering, St. Joseph’s College of Engineering, Chennai 600119, India
2Electrical Sciences, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu 641008, India

Received 31 May 2013; Revised 3 December 2013; Accepted 4 December 2013; Published 12 February 2014

Academic Editor: Nikos D. Lagaros

Copyright © 2014 R. Kotteeswaran and L. Sivakumar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A Multiobjective Particle Swarm Optimization (MOPSO) algorithm is proposed to fine-tune the baseline PI controller parameters of Alstom gasifier. The existing baseline PI controller is not able to meet the performance requirements of Alstom gasifier for sinusoidal pressure disturbance at 0% load. This is considered the major drawback of controller design. A best optimal solution for Alstom gasifier is obtained from a set of nondominated solutions using MOPSO algorithm. Performance of gasifier is investigated at all load conditions. The controller with optimized controller parameters meets all the performance requirements at 0%, 50%, and 100% load conditions. The investigations are also extended for variations in coal quality, which shows an improved stability of the gasifier over a wide range of coal quality variations.