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

Institute of Control, Robotics and Systems (제어로봇시스템학회)
권호 표지
DOI QR코드

DOI QR Code

Design of Optimized Adaptive PID Control Structures using Model Reduction and RLSE

모델축소와 RLSE을 이용한 최적화 적응형 PID 제어 구조 설계

  • 조준호 (원광대 제어계측공학과) ;
  • 최정내 (원광대 제어계측공학과) ;
  • 황형수 (원광대학교 전기전자 및 정보공학부)
  • Published : 2007.07.01
Download PDF
⟨ Previous Next ⟩

Abstract

We propose an optimized adaptive PID control scheme. This paper is focused on the development of model reduction as well as a new adoptive control structure (viz. a recursive least square estimation (RLSE) method-based structure) that is constructed with smith-predictor structure and a real time estimator. The estimator adjust parameters of a reduced model in real time. It leads to robust and superb control performance for the noise or variation of parameters of process. Experimental study reveals that the proposed control structure exhibits more superb output performance in comparison to some previous methods.

Keywords

References

  1. K. J. Astrom and T. Hagglund, 'Automatic tuning of simple regulators with specifications on phase and amplitude margins,' Automatica, vol. 20, no. 5, pp. 645-651, 1984 https://doi.org/10.1016/0005-1098(84)90014-1
  2. W. K. Ho, C. C. Hang, W. Wojsznis, and Q. H. Tao, 'Frequency domain approach to self-tuning PID control,' Contr.Eng. Practice, vol, 4, no. 6, pp. 807-813, 1996 https://doi.org/10.1016/0967-0661(96)00071-8
  3. W. K. Ho, O. P. Gan, E. B. Tay, and E. L. Ang, 'Performance and gain and phase margins of well-known PID tuning formulas,' IEEE Trans. Contr. Syst. Technol., vol. 4, pp. 473-477, 1996 https://doi.org/10.1109/87.508897
  4. M. Zhuang and D. P. Atherton, 'Automatic tuning of optimum PID controllers,' Proc. Inst. Elect. Eng., vol. 140, pt. D, no. 3, pp. 216-224, May 1993
  5. K. J. Astrom, 'Automatic tuning of PID regulators,' Instrument Soc. Amer., 1998
  6. W. K. Ho, C. C. Hang, and L. S. Cao, 'Tuning of PID controllers based on gain and phase margin specifications,' Automatica, vol. 31, no. 3, pp. 497-502, 1995 https://doi.org/10.1016/0005-1098(94)00130-B
  7. K. Y. Kong, S. C. Goh, C. Y. Ng, H. K. Loo, K. L. Ng, W. L. Cheong, and S. E. Ng, 'Feasibility report on frequency domain adaptive controller,' Dept. Elect. Eng., Nat. Univ. Singapore, Internal Rep., 1995
  8. Q. G. Wang, T. H. Lee, H. W. Fung, Q. Bi, and Y. Zhang, 'PID tuning for improved performance,' IEEE Trans. Contro. Syst. Technol., vol. 7, no. 4, pp. 457-465, July 1999 https://doi.org/10.1109/87.772161
  9. Y. Shamash, 'Model reduction using the Routh stability criterion and the Pade approximation technique,' Int. J. Control, vol. 21, no. 3, pp. 475-484, 1975 https://doi.org/10.1080/00207177508922004
  10. David E. Goldberg, Genetic Algorithms in search, Optimization, and Machine Learning, Addison-Wesley Publishing Company, Inc, 1989
  11. W. K. Ho, T. H. Lee, H. P. Han, and Y. Hong, 'Self -tuning IMC-PID control with interval gain and phase margins assignment,' IEEE Trans. Contro. Syst. Technol, vol. 9, no. 3, may 2001, pp. 535-541 https://doi.org/10.1109/87.918905
  12. Q.-G. Wang, C.-C. Hang, and Q. Bi, 'A technique for frequency response identification from relay feedback,' IEEE Trans. Contro. Syst. Technol., vol. 7, no1, January 1999, pp. 122-128 https://doi.org/10.1109/87.736766
  13. 조준호, 김정철, 김진권, 최정내, 황형수, 'Model reduction algorithm using nyquist curve in frequency domain,' Journal of Control, Automation and System Engineering, vol. 8, no. 6, pp. 439-444, June 2002 https://doi.org/10.5302/J.ICROS.2002.8.6.439
  14. 최정내, 조준호, 황형수, 'Smith-predictor controller design using new reduction model,' Trans. KIEE, vol. 52D, no. 1, pp. 9-15, Jan. 2003
  15. 최정내, 조준호, 이원혁, 황형수, Model reduction method and optimized smith predictor controller design using reduced model,' Trans. KIEE, vol. 52D, no. 11, pp. 619-625, Nov. 2003
  16. 조준호 '다양한 성능만족을 위한 계층적 제어기 설계,' 대한전기학회논문지, 제 56 권, 제 2 호 pp. 396-406, 2007. 2