Advertisement

Relay Control System

Chapter
Part of the Advances in Industrial Control book series (AIC)

Abstract

This chapter describes the basic concept of the relay auto-tuning method. The mathematical basis of the method is discussed in detail along with the implementation of the relay auto-tuning method on scalar systems as well as the decentralized and centralized controlled multivariable systems. The effect of higher-order harmonics and the method to incorporate the effects are explained with the help of a simulation study. In addition, the approach of the designing controller for multivariable systems along with the robustness analysis is reviewed.

References

  1. Bristol EH (1966 )On a new measure of interactions for multivariable process control. IEEE Trans Autom Control AC-11, 13–134Google Scholar
  2. Campestrini L, Filho LCS, Bazanella AS (2009) Tuning of multivariable decentralised controllers through ultimate point method. IEEE Trans Control Syst Technol 17(6):1270–1281CrossRefGoogle Scholar
  3. Gu DW, Petkov PH, Konstantinov MM (2003) Robust control design with MATLAB. Springer, BerlinGoogle Scholar
  4. Je CH, Lee J, Sung SW, Lee DH (2009) Enhanced process activation method to remove harmonics and non-linearity. J Process Control 19:353–357CrossRefGoogle Scholar
  5. Li W, Eskinat E, Luyben WL (1991) An improved auto tune identification method. Ind Eng Res Des 30:1530CrossRefGoogle Scholar
  6. Loh AP, Vasnani VU (1994) Necessary conditions for limit cycles in multi-loop relay system. IEEE Proc Control Theory Appl 141(3):163–168CrossRefMATHGoogle Scholar
  7. Luyben WL (2001) Getting more information from relay feedback tests. Ind Eng Chem Res 40(20):4391CrossRefGoogle Scholar
  8. Maciejowski JM (1989) Multivariable feedback design. Addison-Wiley, New YorkMATHGoogle Scholar
  9. Menani S (1999) New approach on automatic tuning of multivariable PI controllers using relay feedback, Technical Report, Tampere University of Technology, Tampere, FinlandGoogle Scholar
  10. Menani S, Koivo HN (1996c) Automatic tuning of multivariable controllers with adaptive relay feedback. In: Proceedings of the 35th IEEE conference on decision and control, Kobe, Japan. IEEE, New YorkGoogle Scholar
  11. Niederlinski A (1971) A heuristic approach to the design of linear multivariable interacting control systems. Automatica 7:691–701Google Scholar
  12. Palmor Z, Halevi Y, Krasney N (1995) Automatic tuning of decentralised PID controllers for TITO processes. Automatica 31:1001–1010CrossRefMATHGoogle Scholar
  13. Skogestad S, Postlethwaite I (2005) Multivariable feedback control. Analysis and design, 2nd edn. Wiley PublicationsGoogle Scholar
  14. Srinivasan K, Chidambaram M (2004) An improved auto tune identification method. Chem BioChem Eng Q18:249–256Google Scholar
  15. Sung SW, Park JH, Lee I (1995) Modified Relay feedback method. Ind Eng Chem Res 34:4133–4135CrossRefGoogle Scholar
  16. Tan KK, Lee TH, Huang S, Chua KY, Ferdous R (2006) Improved critical point estimation using a preload relay. J Process Control 16:445–455CrossRefGoogle Scholar
  17. Wang QG, Zou B, Lee TH, Bi Q (1997) Auto-tuning of multivariable PID controllers from decentralized relay feedback. Automatica 33:319–330MathSciNetCrossRefMATHGoogle Scholar
  18. Zhuang M, Atherton DP (1994) PID controller design for a TITO system. Proc IEE, Pt D 141:111–120CrossRefMATHGoogle Scholar
  19. Ziegler JG, Nichols NB (1942) Optimum Settings for automatic Controllers. Trans. ASME 64:759–765Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Chemical EngineeringIndian Institute of Technology MadrasChennaiIndia

Personalised recommendations