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

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...

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Bibliographic Details
Published in2012 16th IEEE Mediterranean Electrotechnical Conference pp. 1063 - 1066
Main Authors Allouani, F., Boukhetala, D., Boudjema, F.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2012
Subjects
Optimization
Particle swarm optimization
Rotors
Simulation
Trajectory
Transmission line measurements
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ISBN9781467307826
1467307823
ISSN2158-8473
DOI10.1109/MELCON.2012.6196611

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Summary: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.
ISBN:9781467307826
1467307823
ISSN:2158-8473
DOI:10.1109/MELCON.2012.6196611