Journal of Electrical Engineering ›› 2021, Vol. 16 ›› Issue (1): 16-25.doi: 10.11985/2021.01.003

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Accurate Modeling Method for Switched Reluctance Motors with Small Sample Flux-linkage Characteristics

LI Cunhe(), ZHAO Bo(), LIU Jian, LU Binglin   

  1. School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000
  • Received:2020-12-10 Revised:2021-01-25 Online:2021-03-25 Published:2021-03-25

Abstract:

The small sample flux-linkage characteristics of m+1 special positions of m-phase switched reluctance motor (SRM) can be obtained quickly by using the torque-balanced method without locking device. To solve the problem of accurate modeling of SRM based on small sample flux-linkage characteristics, a novel modeling method for SRM based on fuzzy logic system is proposed. The proposed method mainly consists of three steps. Firstly, according to the inherent prior knowledge of SRM pole pairs and flux-linkage changing trend with rotor position, the fuzzy space is divided. Secondly, the fuzzy rules are automatically extracted from the sample data by using fuzzy logic system to form a fuzzy rule base. Finally, the center of gravity method is used to solve the flux-linkage value, the accurate modeling of SRM with small sample data is realized. Different from the conventional modeling method, which needs to measure the flux-linkage characteristics data of the whole position period, the proposed method only needs the flux-linkage characteristics of m+1 special position to realize the accurate modeling of SRM, which greatly improves the modeling efficiency. The simulation and experimental results verify the effectiveness of the proposed method.

Key words: Switched reluctance motor, flux-linkage characteristics, torque-balanced positions, fuzzy logic system, rule extraction

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