SR 모터의 토크리플을 최소화하는 상전류명령 결정 방법

An Efficient Method to Determine the Phase Current Commands of SR Motors for Minimum Torque Ripples

  • 투고 : 2012.06.22
  • 심사 : 2012.07.09
  • 발행 : 2012.07.25

초록

SR 모터의 발생토크는 비선형성이 심해서 토크리플을 최소화하는 기준전류명령을 결정하는 것이 매우 어렵다. 본 논문에서는 반복학습제어 방법을 이용하여 계산적으로 효율적인 SR 모터의 토크리플을 최소화하는 기준전류명령을 구하는 방법을 제안한다. 토크리플을 최소화하는 기준전류명령은 2차원 순람표(look-up table) 형태로 결정된다. 제안된 반복학습제어 방법은 토크모델을 이용하지 않기 때문에 모델오차에 대한 영향이 없고 정밀도가 높으며 계산적으로도 간단한다. 컴퓨터 시뮬레이션을 통해 제안된 방법이 효과적으로 동작됨을 입증한다.

The generated torque of a switched reluctance(SR) motor is highly nonlinear, which makes it difficult to determine the reference current commands for minimum torque ripples. In this paper, we present a computationally simple and efficient method to minimize torque ripples of SR motors based on iterative learning control. The reference current command of each phase minimizing torque ripples is identified in 2-dimensional look-up table form. Our learning control algorithm does not require the torque model, so our method is not affected by model errors and hence is very accurate. In order to justify our work, we present some computer simulation results.

키워드

참고문헌

  1. 김창환, "Switched reluctance motor의 견실한 전류추적 제어기 설계," 제어.자동화.시스템공학 논문지, 제7권, 제3호, 218-228쪽, 2001년 3월
  2. D. G. Taylor, "Pulse-width modulated control of electromechanical systems," IEEE Trans. Automat. Contr., vol. 37, pp. 524-528, April 1992. https://doi.org/10.1109/9.126591
  3. J. Holtz and S. Stadtfeld, "A predictive control of the stator current vector of ac machines fed from a switched voltage source," in Conf. Rec. 1983 Annu. Meet. IPEC, 1983, pp.1665-1675.
  4. R. S. Wallace and D. G. Taylor, "Low-torque -ripple switched reluctance motors for directdrive robotics," IEEE Trans. Robotics Automat., vol. 7, pp. 733-742, Dec. 1991. https://doi.org/10.1109/70.105382
  5. C. H. Kim and I. J. Ha, "A new approach to feedback-linearizing control of variable reluctance motors for direct-drive applications," IEEE Trans. Control Systems Technology, vol. 4, pp. 348-362, July 1996. https://doi.org/10.1109/87.508883
  6. D. S. Ray, M. M-Moud, Tim. C. Green, and B. W. Williams, "Switched reluctance motor control via fuzzy adaptive systems," IEEE Control Systems Magazine, pp. 8-15, June 1995.
  7. C. Shang, D. S. Reay, and B. W. Williams, "Commutating switched reluctance motors via CMAC neural network with learning rate function," in Proceedings of the American Control Conference, 1997, pp.237-241.
  8. S. H. Han, C. H. Kim, and I. J. Ha, "Iterative identification of state-dependent disturbance for high precision speed control of servo motors," Journal of KIEE, vol.9, no.2, pp.99-105, June 1996.
  9. T. J. E. Miller, Brushless permanent-magnet and reluctance motor drives. New York: Oxford Univ. Press, 1989.