The Transactions of the Korean Institute of Electrical Engineers B (대한전기학회논문지:전기기기및에너지변환시스템부문B)

The Korean Institute of Electrical Engineers (대한전기학회)
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Optimal Design of SR Machine for LSEV using CAD and Genetic Algorithm

GA와 상용설계기법을 이용한 저속전기자동차용 SRM의 최적화 설계

  • 김태형 (경성대 대학원 전기공학과) ;
  • 안진우 (경성대 전기전자메카트로닉스공학부)
  • Published : 2005.07.01
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Abstract

Advantages of switched reluctance motor(SRM) include a simple structure, the ability of operation in hash environments and under partial hardware failures, and a wide speed range. However design of SRM for industrial applications is very difficult because motor's inherent none-linearity and sensitivity of design parameter. In this paper, an optimal method for determining design parameters of a switched reluctance motor is researched. The dominant design parameters are stator and rotor pole arc and switching on and off angle. The parameters affecting performance are examined and selected using evolutionary computations and commercial CAD Program. The proposed design process is very fast. reliable and easy to access. The simulated design method proposed is compared with conventional procedure.

Keywords

References

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