论文信息 - Evolutionary optimization of Permanent Magnet machine design for traction applications

Evolutionary optimization of Permanent Magnet machine design for traction applications

Permanent Magnet (PM) machines constitute a favored drive choice in electric traction applications due to their increased efficiency. Design optimization of such machines could enhance their ability to satisfy contradictory static and dynamic requirements. In this paper a Differential Evolution (DE) algorithm for PM machine design optimization, coupled with a finite element analysis (FEA) is employed.

Minos Beniakar | Evangelos Tsampouris | Charalampos Patsios | Antonios Kladas

[1] R. Storn,et al. Differential Evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces , 2004 .

[2] S.D. Sudhoff,et al. Population-Based Design of Surface-Mounted Permanent-Magnet Synchronous Machines , 2009, IEEE Transactions on Energy Conversion.

[3] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[4] A.A. Arkadan,et al. Particle Swarm Design Optimization of ALA Rotor SynRM for Traction Applications , 2009, IEEE Transactions on Magnetics.

[5] Leandro dos Santos Coelho,et al. Electromagnetic optimization based on an improved diversity‐guided differential evolution approach and adaptive mutation factor , 2009 .