Skip to main content
Log in

Adaptive PID controllers: State of the art and development prospects

  • Topical Issue
  • Published:
Automation and Remote Control Aims and scope Submit manuscript

Abstract

We give a survey of modern forms of PID controllers and algorithms for their automated tuning and adaptive control. We consider various autotuning and adaptation algorithms. We also consider the frequency adaptive control algorithm in more detail.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Åström, K.J. and Hagglund, T., Advanced PID Control, North Carolina: ISA, 2006.

    Google Scholar 

  2. Rotach, V.Ya., Teoriya avtomaticheskogo upravleniya: uchebnik dlya VUZov (Automated Control Theory: University Textbook), Moscow: MEI Publishing House, 2008, 5th ed.

    Google Scholar 

  3. Ziegler, J.G. and Nichols, N.B., Optimum Settings for Automatic Controllers, Trans. ASME, 1942, vol. 64, pp. 759–768.

    Google Scholar 

  4. Denisenko, V.V., PID Controllers: Problems of Implementation, Sovremen. Tekhnol. Avtomatiz., 2008, no. 4, pp. 86–99.

    Google Scholar 

  5. Shteinberg, Sh.E., Serezhin, L.P., Zalutskii, I.E., et al., Problems of Construction and Operation of Efficient Control Systems, Prom. ASU Kontrollery, 2004, no. 7, pp. 1–7.

    Google Scholar 

  6. Shubladze, A.M., Gulyaev, S.V., and Shubladze, A.A., Optimal Automatically Tuned Controllers for General Industry, Prib. Sist. Upravlen., Kontr., Diagnost., 2002, no. 10, pp. 30–33.

    Google Scholar 

  7. O’Dwyer, A., Handbook of PI and PID Controller Tuning Rules, London: Imperial College Press, 2006, 2nd ed.

    Book  Google Scholar 

  8. O’Dwyer, A., Handbook of PI and PID Controller Tuning Rules, London: Imperial College Press, 2009, 3nd ed.

    Book  Google Scholar 

  9. Astrom, K.J., Hagglund, T., Hang, C.C., and Ho, W.K., Automatic Tuning and Adaptation for PID Controllers—A Survey, Control Eng. Practice, 1993, vol. 1, pp. 699–714.

    Article  Google Scholar 

  10. Hagllund, T. and Astrom, K.J., Industrial Adaptive Controllers based on Frequency Response Techniques, Automatica, 1991, vol. 27, pp. 599–609.

    Article  Google Scholar 

  11. Hang, C.C., Astrom, K.J., and Ho, W., Relay Auto-Tuning in the Presence of Static Load Disturbance, Automatica, 1993, vol. 29, pp. 563–564.

    Article  Google Scholar 

  12. Blevins, T.L., McMillan, G.K., and Wojsznis, W.K., Advanced Control Unleashed, North Carolina: ISA, 2003.

    Google Scholar 

  13. Hjalmarsson, H., Geers, M., Gunnarsson S., and Lequin O., Interactive Feedback Tuning: Theory and Applications, IEEE Control Syst. Mag., 1998, vol. 18, pp. 26–41.

    Article  Google Scholar 

  14. Fomin, V.N., Fradkov, A.L., and Yakubovich, V.A., Adaptivnoe upravlenie dinamicheskimi ob”ektami (Adaptive Control for Dynamic Objects), Moscow: Nauka, 1981.

    MATH  Google Scholar 

  15. Ho, W.K., Hang, C.C., Wojsznis, W., and Tao, Q.H., Frequency Domain Approach to Self-Tuning PID Control, Control Eng. Practice, 1996, vol. 4, pp. 807–813.

    Article  Google Scholar 

  16. Sato, T. and Kameoka, K., Self-Tuning Type-2 PID Control System and its Application, Proc. 17th IFAC World Congr., Seoul, Korea, 2008, pp. 11287–11292.

    Google Scholar 

  17. Suda, N., PID Control, Japan: Asakura Shoten Co. Ltd., 1992.

    Google Scholar 

  18. Shubladze, A.M., Gulyaev, S.V., and Shubladze, A.A., Adaptive Automatically Tuned PID Controllers, Prom. ASU Kontrollery, 2003, no. 6, pp. 24–26.

    Google Scholar 

  19. Shubladze, A.M. and Kuznetsov, S.I., Automatically Tuned Industrial PI and PID Controllers, Avtomatiz. Promyshl., 2007, no. 2, pp. 15–17.

    Google Scholar 

  20. Alexandrov, A.G., Metody postroeniya sistem avtomaticheskogo upravleniya (Design Methods for Automated Control systems), Moscow: Fizmatlit, 2008.

    Google Scholar 

  21. Aleksandrov, A.G., Frequency Requlators, Autom. Remote Control, 1991, vol. 52, no. 1, part 1, pp. 17–26.

    MATH  Google Scholar 

  22. Aleksandrov, A.G. and Palenov, M.V., Self-Tuning PID/I Controller, Autom. Remote Control, 2011, vol. 72, no. 10, pp. 2010–2022.

    Article  MATH  MathSciNet  Google Scholar 

  23. Visioli, A., Improving the Load Disturbance Rejection Performances of IMC-tuned PID Controllers, Preprints 18th IFAC World Congr., Barcelona, Spain, 2002.

    Google Scholar 

  24. Camacho, E.F. and Bordons, C., Model Predictive Control, New York: Springer, 1999.

    Book  Google Scholar 

  25. Wang, L., Model Predictive Control System Design and Implementation Using MATLAB, London: Springer, 2009.

    MATH  Google Scholar 

  26. Metody robastnogo, neiro-nechetkogo i adaptivnogo upravleniya. Uchebnik (Methods of Robust, Neurofuzzy, and Adaptive Control. Textbook), Egupov, N.D., Ed., Moscow: Mosk. Gos. Tekh. Univ., 2002, 2nd ed.

    Google Scholar 

  27. Rutkovskaya, D., Pilin’skii, M., and Rutkovskii, L., Neironnye seti, geneticheskie algoritmy i nechetkie sistemy (Neural Networks, Genetic Algorithms, and Fuzzy Systems), Moscow: Goryachaya Liniya-Telekom, 2006.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Original Russian Text © A.G. Alexandrov, M.V. Palenov, 2014, published in Avtomatika i Telemekhanika, 2014, No. 2, pp. 16–30.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Alexandrov, A.G., Palenov, M.V. Adaptive PID controllers: State of the art and development prospects. Autom Remote Control 75, 188–199 (2014). https://doi.org/10.1134/S0005117914020027

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0005117914020027

Keywords

Navigation