Particle swarm optimization based fuzzy sliding mode controller for the Twin Rotor MIMO system

Author

Allouani, F. ; Boukhetala, D. ; Boudjema, F.

Author_Institution

Dept. of Eng. Sci., Univ. of Khenchela, Khenchela, Algeria

fYear

2012

fDate

25-28 March 2012

Firstpage

1063

Lastpage

1066

Abstract

In this paper, the application of Particle Swarm Optimization (PSO) on the optimization of the membership functions and the sliding surface constants of the decentralized fuzzy sliding mode controller (FSMC) is presented. This technique is used in order to find an optimal, decentralized, intelligent controller for a nonlinear aerodynamic, Twin Rotor Multi-input, multi-output System (TRMS). Simulation results show the effectiveness of this optimization method. The controller design demonstrates a very good accuracy and a very good response time compared to a PID controller designed using the same method.

Keywords

MIMO systems; control system synthesis; decentralised control; fuzzy control; nonlinear control systems; particle swarm optimisation; rotors; three-term control; variable structure systems; PID controller design; decentralized fuzzy sliding mode controller; membership function; multiple input multiple output system; nonlinear aerodynamic system; particle swarm optimization; proportional-integral-derivative control; sliding surface constant; twin rotor MIMO system; Optimization; Particle swarm optimization; Rotors; Simulation; Trajectory; Transmission line measurements;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrotechnical Conference (MELECON), 2012 16th IEEE Mediterranean

Conference_Location

Yasmine Hammamet

ISSN

2158-8473

Print_ISBN

978-1-4673-0782-6

Type

conf

DOI

10.1109/MELCON.2012.6196611

Filename

6196611