DOI QR코드

DOI QR Code

Unscented Transformation According to Scaling Parameter for Motor Drive without Position Sensor

위치 센서 없는 전동기 구동장치를 위한 스케일링 파라미터에 따른 무향 변환

  • Moon, Cheol (Department School of Electrical and Computer Engineering, Pusan National University) ;
  • Kwon, Young-Ahn (Department School of Electrical and Computer Engineering, Pusan National University)
  • 문철 (부산대학교, 전기컴퓨터공학부) ;
  • 권영안 (부산대학교, 전기컴퓨터공학부)
  • Received : 2016.05.17
  • Accepted : 2016.05.31
  • Published : 2016.06.25

Abstract

This paper study about an unscented Kalman filter with a variety type of unscented transformation to estimate state values for speed control without position sensor of a permanent-magnet synchronous motor. The principles of an unscented transformation and unscented Kalman filter are examined and their application is explained. Generally the mapping process can be divided into two type, such as a basic and a general form according to a scaling parameter. And computation time, the number of samples, and weights about samples are different from each other. But, there is no little information on the scaling parameter value how this value influences the system performance. Simulation and experimental results show the validity of the designed unscented transformation performance with the various scaling parameter values for sensorless motor drive.

본 논문은 영구자석 동기전동기의 위치 센서 없는 속도 제어를 위해 상태변수 값을 추정하기 위한 다양한 종류의 무향변환을 가지는 무향 칼만 필터에 관한 연구이다. 센서리스 전동기 구동을 위해 무향 변환 및 무향 칼만 필터의 원리를 기술하고 응용을 설명한다. 일반적으로 사상 과정은 스케일링 파라미터에 따라 기본 형태 및 일반적 형태의 두 종류로 구분 할 수 있으며 계산 시간, 샘플들의 수 및 샘플들에 관한 가중치들이 서로 차이가 난다. 그러나 스케일링 파라미터 값이 시스템 성능에 어떠한 영향을 미치는지에 대한 정보는 거의 없다. 시뮬레이션 및 실험적 결과들은 센서리스 전동기 구동 장치를 위한 다양한 스케일링 파라미터를 가지는 무향 변환 성능의 상호 비교 및 유효성을 보여준다.

Keywords

References

  1. K. Rajashekara, A. Kawamura, and K. Matsuse, "Sensorless control of AC motor drive," IEEE Press, 1996.
  2. Hyun Sik Choi, Jae Hak Lee and Tae Wook Um, "Speed Sensorless Vector Control of Wound Induction Motor Using a MRAS Method," Journal of The Institute of Electronics and Information Engineer, vol. 42, no. 1, pp. 29-34, Mar 2005.
  3. Chang-Seok Hong, Hyeong-Gee Yeo, and Ji-Yoon Yoo, "Study for the Sensorless Operation of Brushless DC Motors" Conference of The Institute of Electronics and Information ngineer, pp. 45-48, Jan 1996.
  4. R. E. Kalman, "A new approach to linear filtering and prediction problems," Trans. ASME J. Basic Eng., vol.82, no.1, pp.35-45, Mar. 1960.
  5. S. Bolognani, R. Oboe, and M. Zigliotto, "Sensorless full-digital PMSM drive with EKF estimation of speed and rotor position," IEEE Trans. Ind. Electron., vol.46, no.1, pp. 184-191, Feb. 1999.
  6. S. J. Julier and J. K. Uhlmann, "A new extension of the Kalman filter to nonlinear systems," in Proc. AeroSense: 11th Int. Symp. Aerospace/Defense Sensing, Simulations and Controls, pp. 182-193, 1997.
  7. S. Jafarzadeh, C. Lascu, and M. Fadali, "State estimation of induction motor drives using the unscented Kalman filter," IEEE Trans. Ind. Electron., vol. 59, no. 11. pp. 4207-4216., Nov. 2012. https://doi.org/10.1109/TIE.2011.2174533
  8. P. Borsje, T. F. Chan, Y. K. Wong, and S. L. Ho, "A comparative study of Kalman filtering for sensorless control of a permanent-magnet synchronous motor drive," in Proc. IEEE Int. Conf. Electr. Machines Drives, San Antonio, TX, pp. 815-822, 2005.
  9. T.-F. Chna, P. Borsje, and W. Wang "Application of unscented Kalman filter to sensorless permanent- magnet synchronous motor drive," in Proc. IEEE Int. Conf. Electr. Machines Drives, Miami, FL, pp.631-638, 2009.
  10. A. Cichowski, S. Bujacz, J. Nieznanski, and P. Szczepankowski, "Sensorless startup of super high speed permanent magnet motor," IEEE Int. Symp. Ind. Electron., Bari, pp. 3101-3106 , 2010.
  11. D. Janiszewski, "Load torque estimation in sensorless PMSM drive using unscented Kalman filter," IEEE Int. Symp. Ind. Electron., Gdansk, pp. 643-648, 2011.