DocumentCode
1256629
Title
Prediction of torque and inductance displacement characteristics of asymmetrically slotted variable-reluctance motors using a simplified model for numerical field solution
Author
Ertan, H. Bülent
Author_Institution
Dept. of Electr. & Electron. Eng., Middle East Tech. Univ., Ankara, Turkey
Volume
35
Issue
5
fYear
1999
fDate
9/1/1999 12:00:00 AM
Firstpage
4247
Lastpage
4258
Abstract
For prediction of static and dynamic performance of doubly-salient motors, it is essential to know their flux linkage-position-excitation characteristics and also the static torque characteristics. At the design stage determination of these characteristics presents difficulties because of highly nonlinear behavior of the magnetic circuit. It is possible to use numerical field solution of the complete motor to obtain this information. This, however, requires expertise on a professional program and may be expensive if used to search for the best design. This paper shows that a reduced model can be used to obtain the desired information accurately. It is also shown that in fact obtaining field solutions just for a pair of teeth is enough for accurately predicting the flux linkage and torque characteristics of a motor. The approach introduced here makes possible searching for an optimum design (even on a PC) for maximizing average torque or reducing noise and vibration problems, since the effort for producing the model and computation time are greatly reduced
Keywords
magnetic flux; reluctance motors; stepping motors; torque; asymmetrically slotted variable-reluctance motors; computation time; doubly-salient motors; field solutions; flux linkage-position-excitation characteristics; inductance displacement characteristics; nonlinear behavior; numerical field solution; static torque characteristics; torque characteristics; Couplings; Inductance; Induction motors; Magnetic circuits; Noise reduction; Numerical models; Predictive models; Reluctance motors; Teeth; Torque;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/20.799074
Filename
799074
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