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BELBIC based step-down controller design using PSO
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Orientador(es)
Resumo(s)
This article presents a comparison between a common type III controller and one based on a brain emotional learning paradigm (BELBIC) parameterized using a particle swarm optimization algorithm (PSO). Both strategies were evaluated regarding the set-point accuracy, disturbances rejection ability and control effort of a DC-DC buck converter. The simulation results suggests that, when compared to the common controller, the BELBIC leads to an increase in both set-point tracking and disturbances rejection ability while reducing the dynamics of the control signal.
Descrição
Palavras-chave
Optimisation BELBIC Buck converter PSO
Contexto Educativo
Citação
Coelho, João Paulo; Braz-César, Manuel; Gonçalves, José (2021). BELBIC based step-down controller design using PSO. In 1st International Conference on Optimization, Learning Algorithms and Applications, OL2A 2021. p. 345-356. ISBN 978-303091884-2