DOI QR코드

DOI QR Code

Maximum Torque Control of SynRM Drive with ALM-FNN Controller

ALM-FNN 제어기에 의한 SynRM 드라이브의 최대토크 제어

  • 고재섭 (순천대학교 공대 전기공학과) ;
  • 최정식 (순천대학교 대학원 전기공학과) ;
  • 정동화 (순천대학교 정보통신공학부)
  • Published : 2006.12.31

Abstract

The paper is proposed maximum torque control of SynRM drive using adaptive teaming mechanism-fuzzy neural network(ALM-FNN) controller and artificial neural network(ANN). The control method is applicable over the entire speed range and considered the limits of the inverter's current and voltage rated value. For each control mode, a condition that determines the optimal d-axis current $^i{_d}$ for maximum torque operation is derived. The proposed control algorithm is applied to SynRM drive system controlled ALM-FNN and ANN controller, the operating characteristics controlled by maximum torque control are examined in detail. Also, this paper is proposed the analysis results to verify the effectiveness of the ALM-FNN and ANN controller.

본 논문은 ALM-FNN 제어기와 ANN 제어기를 사용하여 SynRM 드라이브의 최대토크 제어를 제시한다. 이 제어기는 인버터의 정격 전류와 전압 제한을 고려하고 전 속도 영역에 적용된다. 각 제어모드를 위하여 최대토크를 위한 최적의 d-축 전류 $^i{_d}$를 결정한다. 제시된 제어 알고리즘은 ALM-FNN 제어기와 ANN 제어기로 SynRM 드라이브 시스템을 제어하는데 적용된다. 최대토크 제어에 의하여 제어된 동작 특성은 실험을 통하여 상세히 설명한다. 또한 본 눈문은 ALM-FNN 제어기와 ANN 제어기 결과분석을 통하여 타당성을 입증한다.

Keywords

References

  1. T. A. Lipo, ' Synchronous reluctance machines: A viable alternative for A.C. drives?,' in Proc. Int. Conf. Evolution and Modern Aspects of Synchronous Machines, Zurich, Switzerland, Aug., pp. 27-29, 1991
  2. T. Matsuo and T. A. Lipo, ' Rotor design optimization of synchronous reluctance machine,' IEEE Trans. Energy conversion, vol. 9, no. 2, pp. 359-365, 1994 https://doi.org/10.1109/60.300136
  3. A. Staton, T. J. E. Miller and S. E. Wood, ' Optimization of the synchronous reluctance motor geometry,' in Conf. Rec. Electrical machines and Drives, London, UK, pp. 156-160, 1991
  4. T. Matsuo and T. A. Lipo, ' Field oriented control of synchronous reluctance machine,'in Conf. Rec. IEEE Power Electron Specialists Conf., pp 425-431, 1993
  5. T. Senjyu, T. Shingaki and K. Uezato, ' A high efficiency control strategy for synchronous reluctance motor considering stator iron loss with EKF,' in Proc. ICEE 2000, Kitakyushu, Japan, pp. 179-182, 2000
  6. M. Ali Unar, D. J. Murray-Smith and S. F. Ali Shah, 'Design and tuning of fixed structure PID controller - A survey,' Technical Report CSC-96016, Faculty of Engineering, Glasgow University, Scotland, 1996
  7. Z. Ibrahim and E. Levi, ' Comparative analysis of fuzzy logic and PI speed control in high performance AC drives using experimental approach,' Proc. of IEEE IAS'2000, Rome, Italy, CD-ROM paper 46-3, 2000
  8. J. C. Lee and D. H. Chung, ' MRAC fuzzy control for high performance of induction motor drive,' The Trans. of KIPE, vol. 7, no. 3, pp. 215-223, 2002
  9. H. G. Lee, J. C. Lee and D. H. Chung, ' Design of fuzzy controller induction drive considering parameter change,' The Trans. of KIEE, vol. 51P, no. 3, pp. 111-119, 2002
  10. H. G. Lee, J. C. Lee and D. H. Chung, ' New fuzzy controller for high performance of induction motor drive,' The journal of KIIS, vol. 17, no. 4, pp. 87-93, 2002
  11. H. G. Lee, J. C. Lee and D. H. Chung, ' Adaptive FNN controller for speed control of IPMSM drive,' The Trans. of KIEE, vol. 41-SC, no. 3, pp. 39-46, 2004
  12. J. C. Lee, H. G. Lee, Y. S. Lee and S. M. Nam, D. H. Chung, ' Speed estimation and control of induction motor drive using hybrid intelligent control,' International Conference ICPE'04, no. 3, pp. 181-185, 2004
  13. J. C. Lee, H. G. Lee and S. M. Nam, D. H. Chung, ' Speed control of induction motor drive using adaptive FNN controller,' International Conference ICEMS'04, Conference no. PI-5(430-M09-052), 2004. [CD no. 2]
  14. B. J. Chalmers and L. Musaba, ' Design and field-weakening performance of a synchronous reluctance motor with axially-laminated rotor,' IEEE-IAS Annu. Meet. Conf. Rec., pp. 271-278, 1997
  15. P. Vas, ' Vector control of ac machines,' Clarendon Press, pp. 124-126, 1990