Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
권호 표지
DOI QR코드

DOI QR Code

Parameter estimation of permanent magnet synchronous motor and adaptive control by MRAS

MRAS를 이용한 매입형 영구자석 동기전동기의 상수 추정 및 적응제어기법

  • Yang, Hyunsuk (School of Electronic and Electrical Engineering, Hongik University)
  • 양현석 (홍익대학교 전자전기공학부)
  • Received : 2015.12.14
  • Accepted : 2016.02.04
  • Published : 2016.02.29
Download PDF
⟨ Previous Next ⟩

Abstract

To control permanent magnet synchronous motors smoothly, it is important to know the exact parameter values of the stator resistance, various inductances, and the flux linkage of the permanent magnet. In practice, these parameters vary due to a variable operating point, temperature change, or a fault. This paper proposes a MRAS (Model Reference Adaptive System) based parameter estimator and adaptive control scheme. Owing to the non-linearity of the system equation with respect to these parameters, although many schemes proposed previously assumed that some parameters are known, all the parameters were assumed to be unknown. The simulation results revealed the effectiveness of the proposed algorithm.

매입형 영구자석 동기전동기의 원활한 제어를 위해서는 전동기의 상수인 고정자 저항이나 각종 인덕턴스의 값, 그리고 쇄교 자속의 값 등을 정확하게 알아야 한다. 그러나 이러한 상수들은 전동기 운행에 따른 전동기 온도의 상승이나 각 작동점 등의 변화에 따라 계속적으로 변하기 때문에 이들의 값을 정확하게 추정하는 것은 매우 어렵다. 이러한 문제점을 극복하기 위해서 실시간으로 상수의 값을 추정하는 기법이 필요한데 본 논문에서는 MRAS(Model Reference Adaptive System) 기법을 이용한 상수의 추정 및 적응제어 기법을 제시한다. 시스템의 관계식이 이들 상수에 대해 비선형으로 구성되어 있어 일반적인 제어기법을 적용하는데 문제가 있어 일부 논문에서는 상수의 일부를 안다고 가정하였지만 본 논문에서는 이러한 가정 없이 모든 상수를 추정하는 제어기법을 제시하고 적응제어 기법의 수렴성을 입증하였다. 제시하는 알고리즘의 우수성은 시뮬레이션을 통해 입증하도록 한다.

Keywords

References

  1. T. H. Lie, C. M. Young, and C. H. Lie, "Microprocessor-based controller design and simulation for a permanent magnet synchronous motor driver," IEEE Trans. on Industrial Electronics, vol. IA-21, no. 4, pp. 516-523, May/June 1985. DOI: http://dx.doi.org/10.1109/41.9173
  2. B. K. Bose, Power Electronics and AC Drives, Englewood Cliffs, NJ, Prentice Hall 1996.
  3. W. Leonhard, Control of Electrical Drives, New York: Springer-Verlag, 1996. DOI: http://dx.doi.org/10.1007/978-3-642-97646-9
  4. J. Lewis Blackburn, Symmetrical Components for Power Systems Engineering, Marcel Dekker, New York (1993).
  5. M. E. Haque and M. F. Rahman, "Influence of stator resistance variation on direct torque controlled interior permanent magnet synchronous motor drive performance and its compensation," IEEE Trans. on Industry Application, vol. 4, pp. 2563-2569, Oct. 2001. DOI: http://dx.doi.org/10.1109/ias.2001.955981
  6. S.J. Underwood and I. Husain, "Online Parameter Estimation and Adaptive Control of Permanent-Magnet Synchronous Machines," IEEE Trans. on Industrial Electronics, vol. 57, no. 7, pp. 2435-2443, July 2010. DOI: http://dx.doi.org/10.1109/TIE.2009.2036029
  7. B. Cheng and T.R. Tesch, "Torque feedforward control technique for permanent magnet synchronous motors," IEEE Trans. Ind. Electron., Vol.57, No.3, pp. 969-974, Mar 2010. DOI: http://dx.doi.org/10.1109/TIE.2009.2038951
  8. T. Boileau, B. Nahid-Mobarakeh, and F. Meibody-Tabar, "On-line Identification of PMSM parameters: Model-reference vs. EKF," in Proc. Conf. IEEE IAS Annu. Meeting, Oct. 2008, pp. 1-8. DOI: http://dx.doi.org/10.1109/08ias.2008.176
  9. L. liu and D.A. Cartes, "Synchronization based adaptive parameter identification for permanent mahnet synchronous motors," IET Control Theory Appl., vol.1, no.4, pp. 1015-1022, July 2007. DOI: http://dx.doi.org/10.1049/iet-cta:20060065
  10. T. Liu, I. Husain, and M. Elbuluk, "Torque ripple minimization with online parameter estimation using neural networks in permanent magnet synchronous motors," in Proc. IEEE IAS Annu. Meeting, Oct. 1998, vol.1, pp. 35-40
  11. M.A. Rahman and M.A. Hoque, "On-line adaptive artificial neural network based vector control of permanent magnet synchronous motors," IEEE Trans. Energy Convers. vol.13, no.4, pp. 311-318, Dec. 1998. DOI: http://dx.doi.org/10.1109/60.736315
  12. S. J. Underwood and I. Husain, "Online Parameter Estimation and Adaptive Control of Permanent-Magnet Synchronous Machines," IEEE Trans. on Ind. Elect. vol. 57, no. 7, pp. 2435-2443, July 2010. https://doi.org/10.1109/TIE.2009.2036029
  13. D. C. Lim and D. M. Lee, "A Noble Parameter Estimation Algorithm for Interior Permanent Magnet Synchronous Motors," The Trans. of KIPE vol. 18, no. 3, pp. 289-295, June 2013
  14. T. Boileau, N. Leboeuf, and B. Nahid-Mobarakeh, "Online identification of PMSM parameters: Parameter identifiability and estimator comparative study," IEEE Trans. on Ind. Appl. vol.47, no.4, pp. 1944-1957, July 2011. DOI: http://dx.doi.org/10.1109/TIA.2011.2155010
  15. H.Yang, "Parameter estimation and adaptive control of permanent magnet synchronous motors" JKAIS vol. 15, no. 2, pp. 1044-1050, Feb. 2014. DOI: http://dx.doi.org/10.5762/kais.2014.15.2.1044