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

被引：2

作者：

Kotteeswaran, R. ^{[1
]}

Sivakumar, L. ^{[2
]}

机构：

[1] St Josephs Coll Engn, Dept Instrumentat & Control Engn, Chennai 600119, Tamil Nadu, India

[2] Sri Krishna Coll Engn & Technol, Elect Sci, Coimbatore 641008, Tamil Nadu, India

来源：

MODELLING AND SIMULATION IN ENGINEERING | 2014年 / 2014卷

关键词：

D O I：

10.1155/2014/504706

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

页数：16

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