BELBIC based step-down controller design using PSO

• Author(s): Coelho, João Paulo ; Braz-César, Manuel ; Gonçalves, José
• Date: 2021
• Persistent ID: http://hdl.handle.net/10198/24681
• Origin: Biblioteca Digital do IPB
• Subject(s): Optimisation; BELBIC; Buck converter; PSO
• Document Type: Conference paper
• Language: English
• Contributor(s): Biblioteca Digital do IPB

Description

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.