대한전기학회논문지:시스템및제어부문D (The Transactions of the Korean Institute of Electrical Engineers D)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

PID 학습제어기를 이용한 가변부하 직류서보전동기의 실시간 제어

Real-Time Control of DC Sevo Motor with Variable Load Using PID-Learning Controller

  • 발행 : 2001.03.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

This paper deals with speed control of DC servo motor using a PID controller with a gain tuning based on a Back-Propagation(BP) Learning Algorithm. Conventionally a PID controller has been used in the industrial control. But a PID controller should produce suitable parameters for each system. Also, variables of the PID controller should be changed according to environments, disturbances and loads. In this paper described by a experiment that contained a method using a PID controller with a gain tuning based on a Back-Propagation(BP) Learning Algorithm, we developed speed characteristics of a DC servo motor on variable loads. The parameters of the controller are determined by neural network performed on on-line system after training the neural network on off-line system.

키워드

참고문헌

  1. 박귀태, 이기상, 김성호, 박태흥 '패턴인식에 의한 새로운 자동조정 PI제어기', 전기학회 논문지, 40권, 7호, pp.696-697, 1991년
  2. K. L. Anderson, ' A rule-based adaptive PID controller.' IEEE Control System Magazine, pp. 564-569, 1988
  3. Z. Y. Zhao, M. Tomizuka and S. Isaka, 'Fuzzy gain scheduling of PID controllers,' IEEE Trans. systems. Man. & Cybernetics, vol. 23, no 5, pp. 1392-1398, 1993 https://doi.org/10.1109/21.260670
  4. K. J. Astrom. 'Intelligent tuning and adaptive control.' 1992. 10 12-14. KACC Workshop, Seoul, Korea
  5. T. Yamamoto, M. Kanedas and T. Oki, 'A self-tuning PID controller fused artificial neural networks,' Proceedings of IFAC 13th Triennial World Congress, pp. 127-132, 1996
  6. 백승민, 국태용, 'DC 전동기를 위한 PID학습제어기' Journal of Control, Automation and Systems Engineering, Vol. 3. No. 6. December, 1997
  7. 김철암, '역전달 학습법을 이용한 직류 서보전동기의 위치 및 속도제어 특성개선' 건국대학교 대학원 석사학위 논문, 1992.8
  8. M. Kawato, Y. Uno, M. Isobe, and R. Suzuki, 'Hierarchical Neural Networks Model for Voluntary Movement with Application to Robotics,' IEEE Control System Maga., pp.8-16, 1988 https://doi.org/10.1109/37.1867
  9. A. Guez, J .L. Eilbert, and M .Kam, 'Neural Network Architecture for Control', IEEE Control Systems Maga., pp. 22.24, Apr. 1988 https://doi.org/10.1109/37.1869
  10. S. Kumar and A. Guez, 'ART Based Adaptive Pole-Placement for Neuro Controller', Neural Network, vol. 4, 1991, pp. 319-335 https://doi.org/10.1016/0893-6080(91)90069-H
  11. Maureen Caudill and Charles Butler 'Understanding Neural Networks ' pp. 169-218. 1992. Massachusetts Institute of Technology
  12. 김대수 '신경망 이론과 응용' pp. 91-143. 하이테크 정보, 1993
  13. 임영도, 이상부 '퍼지, 신경망, 유전진화' pp.107-169, 영과 일 1997