DocumentCode :
231135
Title :
Self-starting analysis of a novel 12/14 type bearingless switched reluctance motor
Author :
Junfang Bao ; Huijun Wang ; Jianfeng Liu ; Bingkun Xue
Author_Institution :
Sch. of Instrum. Sci. & Opto-Electron. Eng., Beihang Univ., Beijing, China
fYear :
2014
fDate :
Feb. 26 2014-March 1 2014
Firstpage :
866
Lastpage :
871
Abstract :
In this paper, a novel 12/14 bearingless switched reluctance motor (BLSRM) is investigated. For the conventional 12/14 BLSRM, there is only a small conduction range for positive torque generation. In order to solve this problem, shifting stator pole technology is applied in the proposed structure. It is good for increasing the output torque and simplifying the control circuit. However, the proposed motor becomes a two-phase motor. As a result, the motor can´t realize self-starting at some rotor positions due to torque dead point or dead zone. Therefore, in this paper, self-starting analysis of the proposed motor is firstly analyzed. A step-airgap starting method is applied to implement self-starting at all rotor positions. Furthermore, the effect of starting method on the motor performance such as torque and suspending force is also investigated by means of finite element analysis (FEA). Finally, surface response method and genetic algorithm are employed to optimize structure parameter to improve the motor performance.
Keywords :
air gaps; finite element analysis; genetic algorithms; reluctance motors; stators; torque; 12-14 bearingless switched reluctance motor; BLSRM; FEA; control circuit; finite element analysis; genetic algorithm; positive torque generation; self-starting analysis; stator pole technology; step-airgap starting method; surface response method; torque dead point; torque dead zone; two-phase motor; Force; Inductance; Reluctance motors; Rotors; Stators; Torque; Windings;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology (ICIT), 2014 IEEE International Conference on
Conference_Location :
Busan
Type :
conf
DOI :
10.1109/ICIT.2014.6895013
Filename :
6895013
Link To Document :
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