PSO-based fuzzy predictive control

Author

Sahed, Oussama Ait ; Kara, Kamel ; Hadjili, Mohamed Laid

Author_Institution

Dept. of Electron., Saad Dahleb Univ., Blida, Algeria

fYear

2012

fDate

25-28 Oct. 2012

Firstpage

2416

Lastpage

2421

Abstract

In this work, a modified particle swarm optimization (PSO) algorithm is proposed to solve the optimization problem of fuzzy predictive control. The main objective is to obtain an efficient control algorithm with a low computational burden and a good control performance. This is done essentially by reducing both the PSO population and the number of iterations needed for each sampling time. The control accuracy and computational efficiency of the proposed algorithm are illustrated by considering the control of the continuous stirred tank reactor.

Keywords

chemical reactors; fuzzy control; particle swarm optimisation; predictive control; process control; sampling methods; tanks (containers); PSO algorithm; PSO population; PSO-based fuzzy predictive control; computational efficiency; continuous stirred tank reactor; control accuracy; control algorithm; control performance; iteration number; modified particle swarm optimization algorithm; optimization problem; sampling time; Algorithm design and analysis; Computational modeling; Prediction algorithms; Predictive models; RNA; Robots; Simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society

Conference_Location

Montreal, QC

ISSN

1553-572X

Print_ISBN

978-1-4673-2419-9

Electronic_ISBN

1553-572X

Type

conf

DOI

10.1109/IECON.2012.6388866

Filename

6388866