Simulation and Modeling of Switched Reluctance Motor and Control System
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(School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221000, China)

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    Abstract:

    Switched reluctance motor (SRM) is widely used, but it is difficult to model and simulate SRMs with high precision because of the nonlinearity of the internal magnetic field and the difficult analysis of the phase current. The research of motor and drive system modeling directly affects the optimization design of motor, dynamic and static performance analysis, evaluation of control strategy, etc. A modeling method for SRM and its control system was introduced. It was a joint simulation, which used the finite element model of the motor built by Flux software and that of the control system built by MATLAB. Through the experiment, the current waveforms of the motor under different operating conditions were measured and compared with the simulation results. The results showed that the current waveforms in different control modes were consistent with the simulation results, which verified the effectiveness of the modeling method.

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ZHU Yushu, WANG Kai, KONG Jingkai, SHAN Yujie, KUANG Dexing, JING Shihong. Simulation and Modeling of Switched Reluctance Motor and Control System[J]. Electric Machines & Control Application,2018,45(10):13-18, 112.

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History
  • Received:April 25,2018
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  • Online: December 17,2019
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