A Back EMF Optimization of Double Layered Large-Scale BLDC Motor by Using Hybrid Optimization Method

This paper presents an optimization method of the back EMF for the double layered (double air gap) large-scale BLDC motor by using a Latin-hypercube sampling strategy. In order to drive the large-scale BLDC motors in parallel and multiphases, the back EMF of inner stator is equal to the back EMF of...

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Bibliographic Details
Published in:IEEE transactions on magnetics 2011-05, Vol.47 (5), p.998-1001
Main Authors: Kim, Yong Bae, Choi, Hong Soon, Koh, Chang-Seop, Shin, Pan Seok
Format: Article
Language:English
Subjects:
Cogging torque
Cross-disciplinary physics: materials science
rheology
double layered BLDC motor
EMF
Exact sciences and technology
Forging
Hypercubes
Latin hypercube sampling (LHS)
Magnetism
Materials science
Optimization
Other topics in materials science
Permanent magnet motors
Physics
response surface method
Response surface methodology
Rotors
Torque
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Summary:This paper presents an optimization method of the back EMF for the double layered (double air gap) large-scale BLDC motor by using a Latin-hypercube sampling strategy. In order to drive the large-scale BLDC motors in parallel and multiphases, the back EMF of inner stator is equal to the back EMF of the outer. A new configuration of the double layered BLDC motor is also proposed for the compactness and high efficiency of the system. By the optimization, it is concluded that the skew angle and the thickness difference between the outer and inner magnets have important roles in synchronization and same magnitude of the back EMF, respectively.
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2010.2089608