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. © 2012 IEEE.
Increase of the performance of a low ripple boost converter for PEM FC applications using GA and PSO algorithms
Marsala G;Ragusa A
2012
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. © 2012 IEEE.File | Dimensione | Formato | |
---|---|---|---|
prod_348827-doc_113699.pdf
non disponibili
Descrizione: Increase of the performance of a low ripple boost converter for PEM FC applications using GA and PSO algorithms
Tipologia:
Versione Editoriale (PDF)
Dimensione
1.23 MB
Formato
Adobe PDF
|
1.23 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.