퍼지 추론 시스템 기반의 다중 신경회로망 제어기를 이용한 초음파 모터의 위치제어

Fuzzy Inference System Based Multiple Neural Network Controllers for Position Control of Ultrasonic Motor

  • 최재원 (부산대학교 기계공학부 및 기계기술연구소) ;
  • 민병우 (부산대학교 기계공학부) ;
  • 박운식 (부산대학교 기계기술연구소)
  • Choi, Jae-Weon (Mechanical Technology Research Center, Dept.of Mechanical Engineering, Busan National University) ;
  • Min, Byung-Woo (Busan National University) ;
  • Park, Un-Sik (Mechanical Technology Research Center, Busan National University)
  • 발행 : 2001.04.01

초록

Ultrasonic motors are newly developed motors which are expected to be useful as actuators in many practical systems such as robot arms or manipulators because of several advantages against the electromagnetic motors. However, the precise control of the ultrasonic motor is generally difficult due to the absence of appropriate and rigorous mathematical model. Furthermore, owing to heavy nonlinearity, the position control of a pendulum system driven by the ultrasonic motor has a problem that control method using multiple neural network controllers based on a fuzzy inference system that can determine the initial position of the pendulum in the beginning of control operation. In addition, and appropriate neural network controller that has been learned to operate well at the corresponding initial position is adopted by switching schemes. The effectiveness of the proposed method was verified and evaluated from real experiments.

키워드

참고문헌

  1. S. Ueha, Y. Tomikawa, M. Kurosawa, and N. Nakamura, Ultrasonic Motors: Theory and Applications, Clarendon Press, Oxford, 1993
  2. N. W. Hagood VI and A. J. McFarland, 'Modeling of a Piezoelectric Rotary Ultrasonic Motor,' IEEE Transactions on Ultrasonic Ferroelectrics and Frequency Control, Vol. 42, No. 2, pp. 210-223, 1995 https://doi.org/10.1109/58.365235
  3. P. Hagedorn and J. Wallaschek, Travelling Wave Ultrasonic Motors Part I: Working Principle and Mathematical Modelling of the Stator,' Journal of Sound and Vibration, Vol. 155, No. 1, pp. 31-46, 1992 https://doi.org/10.1016/0022-460X(92)90643-C
  4. T. Senjyu, H. Miyazato, S. Yokoda, and K. Uezato, 'Speed Control of Ultrasonic Motors Using Neural Network,' IEEE Transactions on Power Electronics, Vol. 13, No. 3, pp. 381-387, 1998 https://doi.org/10.1109/63.668092
  5. T. Senjyu, H. Miyazato, S. Yokaoda, and K. Uezato, 'Position Control of Ultrasonic Motors Using Neural Network,' Proceedings of the IEEE International Symposium on Industrial Electronics, Vol. 1, pp. 368-373, 1996 https://doi.org/10.1109/ISIE.1996.548449
  6. F. J. Lin, R. Jong, and R. Y. Duan, 'Neural-Network Controller for Parallel-Resonant Ultrasonic Motor Drive,' IEEE Transactions on Control Systems Technology, Vol. 7, No. 4, pp. 494-501, 1999 https://doi.org/10.1109/87.772165
  7. 민병우, 최재원, '초음파 모터의 위치제어를 위한 학습제어기 설계,' 한국자동제어학술회의 논문집 D권, pp. 245-248, 1999년 10월
  8. H. V. Barth, Ultrasonic motor Driven MotorIBM Technical Disclosure Bulletin, Vol. 16, No. 7, pp. 2263, 1973
  9. 임기조, 강문성, '초음파 모터의 응용-최근에 출원된 일본 특허를 중심으로,' 대한전기학회지, Vol. 43, No. 7, pp. 32-38, 1994
  10. 이감연, 'DSP를 이용한 초음파 모터 설계,' 조선대학교 제어계측공학과 석사학위논문, 1997년 2월
  11. 신덕, 김동옥, 고낙용, 최한수, 김영동, '초음파 모터의 전압 및 위상차 제어 특성,' 대한전기학회 하계학술대회 논문집, pp. 949-952, 1996년 7월
  12. J. S. R. Jang, C. T. Sun and E. Mizutani, Neuro-Fuzzy and Soft Computing, Prentice Hall, pp. 233-236, 1997
  13. L. Fausett, Fundamentals of Neural Networks, Prentice Hall, pp. 17-21, 1991
  14. 오성권, 퍼지모델 및 제어이론과 프로그램, 기다리, pp. 93-231, 1999