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.
2012
9781467309530
dc-dc converter control
Genetic Algorithm
low ripple current
Optimization techniques
Particle Swarm Optimization
PEM Fuel Cell
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Descrizione: Increase of the performance of a low ripple boost converter for PEM FC applications using GA and PSO algorithms
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/312562
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