Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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A Tracking Control of the Hydraulic Servo System Using the Neuro-Fuzzy Controller

뉴로-퍼지 제어기를 이용한 유압서보시스템의 추적제어

  • Park, Geun-Seok (Dept. of Mechanical Design Engineering, Chungnam National University) ;
  • Lim, Jun-Young (Dept. of Mechanical Design Engineering, Chungnam National University) ;
  • Kang, E-Sok (Dept. of Mechanical Design Engineering, Chungnam National University)
  • 박근석 (충남대학교 기계설계공학과) ;
  • 임준영 (충남대학교 기계설계공학과) ;
  • 강이석 (충남대학교 기계설계공학과)
  • Published : 2001.06.01
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Abstract

To deal with non-linearities and time-varying characteristics of hydraulic systems, in this paper, the neuro-fuzzy controller has been introduced. This controller does not require and accurate mathematical model for the nonlinear factor. In order to solve general fuzzy inference problems, the input membership function and fuzzy reasoning rules are used for determining the controller parameters. These parameters are determined by using the learning algorithm. The control performance of the neuro-fuzzy controller is evaluated through a series of experiments for the various types of inputs while applying disturbances to the hydraulic system. The performance of this controller was compared with those of PID and PD controllers. From these results, We observe be said that the position tracking performance of neuro-fuzzy is better those of PID and PD controllers.

Keywords

References

  1. Herbert E. Merrit, 'Hydraulic control system', John Wiley & Sons, New York, 1967
  2. J. S Yun and H. S. Cho, 'Adaptive model following control of electrohydraulic velocity control systems subjected to unknown disturbance', Institution of electrical engineers, vol. 135, pp. 149-156, 1988
  3. 김천호, 조형석, '유압서보 시스템을 위한 뉴로-퍼지 제어기 설계, vol. 17, no. 1, pp. 101-111, 1993
  4. Ming-Chang Shih and Ming-Chin Wu, 'Position control of servo hydraulic cylinder using a neuro-fuzzy controller with on-line searched parameters', JSME International Journal, series C, vol. 39, no. 3, pp, 534-540, 1996
  5. Chin-Teng Lin and C. S. George Lee, 'Neural-network-based fuzzy logic control and decision system', IEEE transaction on computers, vol. 40, no. 12, pp. 1320-1336, 1991 https://doi.org/10.1109/12.106218
  6. 김용열, 강이석, '유전-퍼지를 이용한 정수장 응집제 주입률 결정에 관한 연구', Journal of control, automation and systems engineering, vol. 5, no. 7, pp. 876-882, 1999
  7. Jyh-Shing R. Jang, 'Self-learning fuzzy controllers based on temporal back propagation', IEEE transactions on neural networks, vol. 3, no. 5, pp. 714-723, 1992 https://doi.org/10.1109/72.159060
  8. Pey-Chung Chen and Ming-Chang Shih, 'An experimental study on the position control of a hydraulic cylinder using a fuzzy logic controller', JSME International Journal, series III, vol. 34, no. 4, pp. 481-489, 1991
  9. Kevin M, Passino and Stephen Yurkovich, 'Fuzzy control', Addison-Wesley, 1998
  10. Pau-Lo Hsu and Wei-Ru Fann, 'Fuzzy adaptive control of machining processes with a self-learning algorithm', Transactions of the ASME, vol. 118, pp. 522-530, 1996
  11. Hamid R. Berenji and Pratap Khedkar, 'Learning and tuning fuzzy logic controllers through reinforcements', IEEE transactions on neural networks, vol. 3, no. 5, 1992 https://doi.org/10.1109/72.159061
  12. Chueri-Chien Lee, 'Fuzzy logic in control systems Fuzzy logic controller - part I', IEEE Transactions on Systems, Man, and Cybernetics, vol. 20, no. 2, 1990 https://doi.org/10.1109/21.52551
  13. Chuen-Chien Lee, 'Fuzzy logic in control systems : Fuzzy logic controller - part II', IEEE Transactions on Systems, Man, and Cybernetics, vol. 20, no. 2, 1990 https://doi.org/10.1109/21.52552
  14. M. Mizumoto, 'Fuzzy controls under productsum-gravity methods and new fuzzy control methods', Kandel, Langholz Fuzzy Control Syatems CRC, Inc, 1994
  15. Gao Jianchen and Wu Pingdong, 'A fuzzy neural network controller in the electro-hydraulic position control system', IEEE International Conference on intelligent Processing Systems, October 28-31. Beijing. China, 1997 https://doi.org/10.1109/ICIPS.1997.672739
  16. Han-Xiong Li and H. B. Gatland, 'Conventional fuzzy control and its enhancement', IEEE transaction on systems, man. and cybernetics-Part B:cybernetics, vol. 26, no. 5, pp. 791-797, 1996 https://doi.org/10.1109/3477.537321
  17. Y. F. Li and C. C. Lau, 'Development of fuzzy algorithms for servo systems', IEEE Control Systems Magazine, 1989 https://doi.org/10.1109/37.24814