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

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

Sensorless Control of SRM Using Neural Network

신경회로망을 이용한 SRM 센서리스 제어연구

  • 최재동 (한국항공우주연구원) ;
  • 안재황 (충남대 공대 전기공학과) ;
  • 성세진 (충남대 공대 정보통신공학부)
  • Published : 2001.01.01
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Abstract

This paper introduces a new indirect rotor position estimation algorithm for the SRM sensorless control, based on the magnetizing curves of aligned and unaligned rotor positions. Through the basic test method, the complete SRM magnetizing characterization is first constructed using a neural network training, and then used to estimate the rotor position. And also, the optimal phase is selected by the phase selector. In order to verify this approach, the proposed rotor position estimation algorithm using a neural network learning data is investigated. The experimental results show that the proposed control algorithm can be effectively applied to SRM sensorless control.

Keywords

References

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