Title :
Increase of the performance of a low ripple boost converter for PEM FC applications using GA and PSO algorithms
Author :
Marsala, G. ; Ragusa, A.
Author_Institution :
Ist. sui Sist. Intelligenti per l´Autom., Italy
Abstract :
This paper deals with the optimization of the performance of a high step up dc-dc converter characterized by a low ripple in the input current. The converter with a PID control has been designed for PEM Fuel Cell application in automotive environment. In this work, an optimization of the PID control design is presented, using two heuristic methods: the Genetic and Particle Swarm Optimization algorithms. Moreover, an optimized LQR controller is designed. Then, a comparison between the PID and LQR controller, with and without optimization, is presented. Finally, the effectiveness of the two heuristic algorithms to design the two control strategies has been evaluated.
Keywords :
DC-DC power convertors; battery powered vehicles; control system synthesis; genetic algorithms; linear quadratic control; machine control; particle swarm optimisation; proton exchange membrane fuel cells; GA algorithms; PEM FC applications; PEM fuel cell application; PID control design optimization; PSO algorithms; automotive environment; genetic algorithms; high step up DC-DC converter; low ripple boost converter; optimized LQR controller design; particle swarm optimization; performance optimization; Matrix converters; Sociology; Stability analysis; Statistics; Time factors; Tuning; Genetic Algorithm; Optimization techniques; PEM Fuel Cell; Particle Swarm Optimization; dc-dc converter control; low ripple current;
Conference_Titel :
Vehicle Power and Propulsion Conference (VPPC), 2012 IEEE
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0953-0
DOI :
10.1109/VPPC.2012.6422699