Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Current Control of SRM using Neural Network

신경회로망을 이용한 SRM의 전류추종 제어

  • 안성호 (경성대학교 전기공학과) ;
  • 오석규 (진주산업대 산업자동화공학과) ;
  • 안진우 (경성대학교 전기공학과) ;
  • 황영문 (부산대학교 전기공학과)
  • Published : 1998.07.20
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Abstract

The Switched Reluctance Motor (SRM) has good properties to the adjustable speed control. But, high torque ripple and noise decrease this merit and make unstable state. Also, because of the saturation in the magnetic circuit, it is difficult to predict the inductance profile. If the inductance pronto is known, it's possible to make flat-top torque by applying some control strategy. This paper suggests method to develope flat-top torque using a Artificial Neural Network(ANN) method that can calculate a nonlinear inductance profile.

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