Title :
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
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;
Conference_Titel :
Electrotechnical Conference (MELECON), 2012 16th IEEE Mediterranean
Conference_Location :
Yasmine Hammamet
Print_ISBN :
978-1-4673-0782-6
DOI :
10.1109/MELCON.2012.6196611
