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PID auto-tuning controller design via fuzzy logic

  • He, Wei (Automatic Control and System Engineering, University of Sheffield) ;
  • Yu, Tian (Automatic Control and System Engineering, University of Sheffield) ;
  • Zhai, Yujia (Automatic Control and System Engineering, University of Sheffield)
  • 투고 : 2013.11.08
  • 심사 : 2013.12.09
  • 발행 : 2013.12.31

초록

PID auto-tuning controller was designed via fuzzy logic. Typical values such as error and error derivative feedbackwere changed as heuristic expressions, and they determine PID gain through fuzzy logic and defuzzification process. Fuzzy procedure and PID controller design were considered separately, and they are combined and analyzed. Obtained auto-tuning PID controller by Fuzzy Logic showed the ability for less than 3rd order plant control.

키워드

참고문헌

  1. Karl J.A. and Tore H., "Automatic Tuning of PID controllers", Instrument Society of America, pp. 3-9.
  2. Robert B and Stefano S, "Matlab and Simulink for Modeling and Control", November 1999, p.1.
  3. James P. O., "Control of a Quadrotor Helicopter Using Dual CameraVisual Feedback", The International Journal of Robotics Research, Vol. 24, No. 5, May 2005, pp. 329-341. https://doi.org/10.1177/0278364905053804
  4. C. T. Lin, "Neural Fuzzy Control Systems with Structure and Parameter Learing", World Scientific Publishing Co. Pte. Ltd., 1994, pp.11-16.
  5. C. P. Coleman and D. Godbole, "A Comparison of Robusteness: Fuzzy Logic, PID, and Sliding Mode Control," in IEEE World Congress on Computational Intelligence., Walt Disney, 1994, vol.3, pp. 1654-1659.
  6. Fuzzy logic[online]. Available: http://en.wikipedia.org/wiki/Fuzzy_logic.
  7. K. D. Young, "A Control Engineer's Guide to Sliding Mode Control," IEEE Trans. Control Systems Technology, vol. 7, no. 3, pp. 328-342, Aug. 2002.
  8. K. Johan and T. Hagglund, Advanced PID Control. New York: ISA-The Instrumentation, Systems, and Automation Society, 2006.
  9. L. Yamamoto and L. Hashimoto, "Present status and Future Needs: the view from Japanese industry," in Chemical Process Control-CPCIV: Proc.4th Int. Conf. on Chemical Process Control, eds, Texas, 1991, pp, 1-28.
  10. V. I. Utkin, "Application Oriented Trends in Sliding Mode Control Theory", in Industrial Electronics, Control, and Instrumentation, Maui, HI, Nov. 15-19, 1993, vol. 3, pp. 1937-1942.
  11. V. I. Utkin, "Sliding Mode Control", UNESCO-EOLSS, Control Systems, Robotics and Automation., vol. XII.
  12. V. I. Utkin, "Variable Structure System With Sliding Modes," IEEE Trans. Automat. Contr., vol. AC-22, pp. 212-222, Apr. 1997.
  13. W. D. Chang, R. C. Hwang, and J. G. Hsieh, "An auto-tuning PID control for a class of nonlinear systems based on Lyapunov approach," J. Process Control, vol. 12, pp. 233-242, 2002. https://doi.org/10.1016/S0959-1524(01)00041-5
  14. Y. Huang and S.Yasunobu, "A General Practical Design Method For Fuzzy PID Control From Conventional PID Control," in Proc. IEEE Int. Conf. Fuzzy Systems, San Antonio, TX, vol. 2, May 2000, pp. 969-972.
  15. Z. M. Chen, Sliding mode variable structure control theory and application. Beijing: Publishing House of Electronics Industry, 2012 (in Chinese).

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