Movatterモバイル変換


[0]ホーム

URL:


Skip to main content

Advertisement

Springer Nature Link
Log in

Robust Auto Tune Smith Predictor Controller Design for Plant with Large Delay

  • Conference paper

Part of the book series:Lecture Notes in Computer Science ((LNTCS,volume 4688))

Included in the following conference series:

Abstract

A robust Smith controller for plant with large delay is proposed. A nonlinear PD controller is design to auto tune on-line the parameters of robust controller such that the closed system is of robust stability as well as good dynamic performance. The simulation results show that the method can control the plant with large time-variable delay properly.

This is a preview of subscription content,log in via an institution to check access.

Access this chapter

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Smith, O.J.: A Controller to Overcome Dead Time. ISA J. 6, 28–33 (1959)

    Google Scholar 

  2. Giles, R.F., Gaines, L.D.: Contrlling Inerts in Ammonia Synthesis. Instrumentation Technology 24, 41–45 (1977)

    Google Scholar 

  3. Hang, C.C.: A performance study of control system with dead time. IEEE IECI 27, 234–241 (1980)

    Google Scholar 

  4. Liang, C., Xie, J.: Adaptive compensation control for the plant with large time delay. Control theory and applications 18, 176–180 (2001)

    MATH MathSciNet  Google Scholar 

  5. Carcia, C.E., Morari, M.: Internal Model Control: A Unifuing Review and Some New Results. IEC Process Des. Dev. (1982)

    Google Scholar 

  6. Zhang, W., Xu, X., Sun, Y.: Quantitative performance design for integrating processes with time delay. Automatica 35, 719–723 (1999)

    Article MATH MathSciNet  Google Scholar 

  7. Zhangjin, Liping, Yangzhi.: Great time delay process without self-balancing Smith predictor robust control method. In: Zhejiang University Proceedings, vol. 36, pp. 490–493 (2002)

    Google Scholar 

  8. Sanchez, P.S.: Robust systems theory and applications [M]. John Wiley and Sons Inc., New York (1998)

    Google Scholar 

  9. Shengzhao, L., Peizhuang, W.: The self-adjusting problem of fuzzy control rule. Fuzzy Mathematics 4, 105–182 (1982)

    Google Scholar 

  10. Shiyong, L., et al.: Fuzzy control and intelligent control theory and application. Harbin institute of Technology Publishing House (1989)

    Google Scholar 

  11. Xiaohuang, P., Sizong, G., Fangchun, Y.: A nonlinear PD controller and silmulation based on the fuzzy control thought. Liaoning Engineering Technology University Proceedings (Science Edition) 17, 89–91 (1998)

    Google Scholar 

  12. Ziyuan, H., Minrui, F., Zhiqiang, H.: Smith Online Identification Prediction Control and Its Application in STM. In: WCICA, Shanghai, China, pp. 2254–2257 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Information and Control Department, Shanghai Electric Power College, Shanghai, 200090,  

    Huang Ziyuan & Zhen Lanlan

  2. Automation Department, Shanghai University, Shanghai, 200072,  

    Fei Minrui

Authors
  1. Huang Ziyuan

    You can also search for this author inPubMed Google Scholar

  2. Zhen Lanlan

    You can also search for this author inPubMed Google Scholar

  3. Fei Minrui

    You can also search for this author inPubMed Google Scholar

Editor information

Kang Li Minrui Fei George William Irwin Shiwei Ma

Rights and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ziyuan, H., Lanlan, Z., Minrui, F. (2007). Robust Auto Tune Smith Predictor Controller Design for Plant with Large Delay. In: Li, K., Fei, M., Irwin, G.W., Ma, S. (eds) Bio-Inspired Computational Intelligence and Applications. LSMS 2007. Lecture Notes in Computer Science, vol 4688. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74769-7_71

Download citation

Publish with us


[8]ページ先頭

©2009-2025 Movatter.jp