A New Multimodal Optimization Algorithm for the Design of In-Wheel Motors

Title
A New Multimodal Optimization Algorithm for the Design of In-Wheel Motors
Author(s)
유청희[유청희]임동국[임동국]우동균최종호[최종호]노종석[노종석]정현교[정현교]
Keywords
ELECTROMAGNETIC DEVICE OPTIMIZATION
Issue Date
201503
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE TRANSACTIONS ON MAGNETICS, v.51, no.3
Abstract
The selection of optimal parameters during the design of an electric motor is a multivariable and multimodal optimization problem that requires a considerable amount of computational calculation time. To solve this type of problem, this paper proposes a novel multimodal optimization algorithm that is assisted by a surrogate model using the newly developed compressed sensing theory. Its effectiveness is confirmed by comparing the optimization results for test functions with the results of conventional optimization methods. These results show that the proposed method has more rapid and accurate convergence characteristics than conventional approaches. To verify the feasibility of its application to electric motors, an in-wheel motor is designed using the proposed algorithm.
URI
http://hdl.handle.net/YU.REPOSITORY/33048http://dx.doi.org/10.1109/TMAG.2014.2360626
ISSN
0018-9464
Appears in Collections:
공과대학 > 전기공학과 > Articles
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