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Copyright © 2014 R. Kotteeswaran and L. Sivakumar. R. Kotteeswaran et al. 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.

Details

Title
Optimal Tuning of Decentralized PI Controller of Nonlinear Multivariable Process Using Archival Based Multiobjective Particle Swarm Optimization
Author
Kotteeswaran, R; Sivakumar, L
Publication year
2014
Publication date
2014
Publisher
John Wiley & Sons, Inc.
ISSN
16875591
e-ISSN
16875605
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1564242737
Copyright
Copyright © 2014 R. Kotteeswaran and L. Sivakumar. R. Kotteeswaran et al. 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.