Power electronic circuits design: A particle swarm optimization approach
- Authors
- Zhang, Jun; Shi, Yuan; Zhan, Zhi-Hui
- Issue Date
- Dec-2008
- Publisher
- Springer Verlag
- Keywords
- Circuit optimization; Particle swarm optimization (PSO); Power electronic circuits (PECs)
- Citation
- Simulated Evolution and Learning 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008, Proceedings, v.5361 , pp 605 - 614
- Pages
- 10
- Indexed
- SCI
SCOPUS
- Journal Title
- Simulated Evolution and Learning 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008, Proceedings
- Volume
- 5361
- Start Page
- 605
- End Page
- 614
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/117809
- DOI
- 10.1007/978-3-540-89694-4_61
- Abstract
- The development of power electronics results in a growing need for automatic design and optimization for power electronic circuits (PECs). This paper presents a particle swarm optimization (PSO) approach for the PECs design. The optimization problem is divided into two processes using a decoupled technique and PSO is employed to optimize the values of the circuit components in the power conversion stage (PCS) and the feedback network (FN), respectively. A simple mutation operator is also incorporated into PSO to enhance the population diversity. The algorithm is applied to the optimization of a buck regulator for meeting requirements under large-signal changes and at steady state. Compared with genetic algorithm (GA), PSO can yield more optimized values of circuit components with lower computational effort. © 2008 Springer Berlin Heidelberg.
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