Open AccessOptimal Tuning of Decentralized PI Controller of Nonlinear Multivariable Process Using Archival Based Multiobjective Particle Swarm Optimization
Author(s) -
K. S. Rangasamy,
L. Sivakumar
Publication year - 2014
Publication title -
modelling and simulation in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 20
eISSN - 1687-5591
pISSN - 1687-5605
DOI - 10.1155/2014/504706
Subject(s) - multivariable calculus , particle swarm optimization , wood gas generator , control theory (sociology) , controller (irrigation) , pid controller , engineering , range (aeronautics) , multi objective optimization , nonlinear system , process (computing) , control engineering , coal , computer science , mathematical optimization , mathematics , algorithm , control (management) , waste management , temperature control , agronomy , artificial intelligence , biology , aerospace engineering , physics , quantum mechanics , operating system
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
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