Cogging Torque Minimization of a Dual-Type Axial-Flux Permanent Magnet Motor Using a Novel Optimization Algorithm

Title
Cogging Torque Minimization of a Dual-Type Axial-Flux Permanent Magnet Motor Using a Novel Optimization Algorithm
Author(s)
우동균임동국[임동국]김일우[김일우]노종석[노종석]정태경[정태경]정현교[정현교]
Keywords
NICHING GENETIC ALGORITHM; SEQUENTIAL OPTIMIZATION; ELECTROMAGNETIC DEVICES; MULTIMODAL OPTIMIZATION; DESIGN; REDUCTION
Issue Date
201309
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE TRANSACTIONS ON MAGNETICS, v.49, no.9, pp.5106 - 5111
Abstract
The design of an electric machine is a multivariable and multimodal problem that requires much time to find the optimal design result. To address this problem, we propose a novel optimization algorithm using a kriging meta-model, a contour face climb method, a reinterpolation method in an expected region, an advanced pattern search method, and a uniform search method in the entire problem space. A rapid, exact, and reliable optimization process for a multivariable and multimodal design problem is possible using the proposed novel algorithm. Its validity was confirmed by comparing the optimization results of a test function with evolutionary optimization methods. For verification of the application to an electric machine, a dual-rotor axial flux permanent-magnet synchronous motor was designed using the proposed algorithm in this paper.
URI
http://hdl.handle.net/YU.REPOSITORY/29018http://dx.doi.org/10.1109/TMAG.2013.2256430
ISSN
0018-9464
Appears in Collections:
공과대학 > 전기공학과 > Articles
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