Optimal Control of Proton Exchange Membrane Fuel Cell Based on Particle Swarm Optimization and Genetic Algorithm

Authors : A REZAZADEH, M SEDİGHİZADEH, A ASKARZADEH

Pages : 44-51

View : 17 | Download : 9

Publication Date : 2009-09-01

Article Type : Research Paper

Abstract :Since the operation of a Proton Exchange Membrane Fuel Cell insert ignore into journalissuearticles values(PEMFC); is extremely nonlinear process as well as its parameters change when it is operating, a designer can’t easily to control it; accordingly conventional controllers cannot satisfy the control objectives as well as the intelligent controllers. Thus, in this paper an intelligent controller is proposed for fuel cell stack control system based on Particle Swarm Optimization insert ignore into journalissuearticles values(PSO);. In order to analyze the efficiency of this method, the results are compared with other intelligent controller based on Genetic Algorithm insert ignore into journalissuearticles values(GA);. The simulation results demonstrate the high performance capability of both proposed controllers in terms of precise and convergence speed
Keywords : Intelligent controller, Genetic Algorithm, Particle swarm optimization, Proton exchange membrane fuel cell