Title :
PSO-based fuzzy predictive control
Author :
Sahed, Oussama Ait ; Kara, Kamel ; Hadjili, Mohamed Laid
Author_Institution :
Dept. of Electron., Saad Dahleb Univ., Blida, Algeria
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;
Conference_Titel :
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-2419-9
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2012.6388866
