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Population-Based Design of Surface-Mounted Permanent-Magnet Synchronous Machines

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2 Author(s)
Brandon N. Cassimere ; Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN ; Scott D. Sudhoff

Permanent-magnet synchronous machines can be designed to obtain high efficiency and high torque density. Population-based optimization methods such as genetic algorithms and particle swarm optimization are gaining acceptance as a means of optimizing the design of this class of machines. This paper builds on the literature by utilizing a computationally efficient machine analysis appropriate for use with population-based optimization methods that enables the consideration of a significantly larger search space than previously reported in the literature. It is also unique in that the relative performance of different parameter encoding and objective function formulations are considered.

Published in:

IEEE Transactions on Energy Conversion  (Volume:24 ,  Issue: 2 )