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

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

SRM의 최대 에너지비를 갖는 단일 펄스 스위칭방식에 관한 연구

The Study of SRM on the Single Pulse Switching Control With Maximum Energy Ratio

  • 박성준 (동명대 전기전가계역) ;
  • 안진우 (경성대학교 전기전자컴퓨터공학부)
  • 발행 : 2002.04.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

The goal of this paper is optimal switching angle of switched reluctance motor drive system fur maximum energy ratio. A new magnetizing method with a low-frequency increasing the energy conversion ratio that is related to the efficiency of motor is proposed. As the results, it improved the efficiency about 2[%]. And a torque ripple is also sufficiently reduced compared with that of the conventional approach. In order tn start softly regardless of large ripple torque, the profile of phase current is predicted by the ANFIS, and current control mode was adapted when it is operated under the starting speed. Variable implementations en the fields will guarantee the more practical drive system.

키워드

참고문헌

  1. B. K. Bose, T. J. E. Miller, P. M. Szezesny and W. H. Bocknell ; 'Microcomputer Control of Switched Reluctance Motor', IEEE Trans. on Industrial Application, vol.22, no.4, pp.708-715, 1986 https://doi.org/10.1109/TIA.1986.4504782
  2. I. Husain, M. Ehsani ; 'Torque Ripple Minimization in Switched Reluctance Drives by PWM Current Control', IEEE Trans. on Power Electronics, vol.11, no.1, pp.91-98, 1996
  3. C. Wu, C. Pollock; 'Analysis and Reduction of Vibration and Acoustic Noise in the Switched Reluctance Drive', IEEE Trans. on Industrial Applications, vol.31, no.1, pp.91-98, 1995 https://doi.org/10.1109/28.363045
  4. D. E. Cameron, J. H. Lang and S. D. Umans ; 'The Origin and Reduction of Acoustic Noise in Doubly Salient Variable-Reluctance Motors', IEEE Trans. on Industrial Applications, Vol.28, No.6, pp.1250-1255, 1992 https://doi.org/10.1109/28.175275
  5. Lawrenson PJ ; 'A Brief Status Review of Switched Reluctance Drives', EPE, Vol.2, No.3, pp.133-144, 1992
  6. Khwaja M. Rahman : 'Optimized Torque Control of Switched Reluctance Motor at All Operational Regimes Using Neural Network', IEEE Trans., Vol.37, No.3, pp.904-913, 2001 https://doi.org/10.1109/28.924774
  7. J.-S. R. Jang : 'ANFIS : Adaptive-Network-based Fuzzy Inference Systems', IEEE Trans., Vol. 23, No. 3, pp. 665-676, 1993 https://doi.org/10.1109/21.256541
  8. M. Takagi, M. Sugeno : 'Fuzzy identification of systems and it's applications to modeling and control', IEEE Trans., Vol. 15, pp.116-132, 1985