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Use of Fuzzy Logic for Implementing Rule-Based Control of Industrial Processes

  • E. H. Mamdani
  • J. J. Østergaard
  • E. Lembessis

Abstract

Rule-based methods have been investigated for process control applications since mid-1970’s where the emphasis has been on the use of fuzzy logic for implementing the linguistic control rules. The method is now being used commercially for the control of cement kilns, using linguistic rules of the type shown in Fig. 1. The rules are a collection of situation-action pairs expressed as IF… THEN… statements and implemented as logical implications. Thus a set of rules, R, is given as
$$\begin{array}{*{20}{c}} {R = \{ {{R}^{1}},{{R}^{2}},...,{{R}^{n}}\} } \\ { = \{ {{s}^{1}} \to {{a}^{1}},{{s}^{2}} \to {{a}^{2}},...,{{s}^{n}} \to {{a}^{n}}\} .} \\ \end{array}$$

Keywords

Membership Function Fuzzy Logic Control Rule Cement Kiln Input Interface 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    R. M. Tong, A Control Engineering Review of Fuzzy Systems, Automatica, 1977, vol. 13, pp. 559–569.CrossRefGoogle Scholar
  2. 2.
    I. P. Holmblad and J. J. Ostergaard, Fuzzy Logic Control: Operator Experience Applied in Automatic Process Control, FLS Review, 1981, (F. L. Smidth & Co., Vigerslev Alle 77, DK-2500 Valby, Copenhagen).Google Scholar
  3. 3.
    E. H. Mamdani and B. R. Gaines, eds., “Fuzzy Reasoning and its Applications”, Academic Press (London), 1981.zbMATHGoogle Scholar
  4. 4.
    T. J. Procyk and E. H. Mamdani, A Linguistic Self-Organizing Process Controller, Automatica, 1979, vol. 15, pp. 15–30.zbMATHCrossRefGoogle Scholar

Copyright information

© Plenum Press, New York 1983

Authors and Affiliations

  • E. H. Mamdani
    • 1
  • J. J. Østergaard
    • 1
  • E. Lembessis
    • 1
  1. 1.Department of Electrical and Electronic Engineering, Queen Mary College University of LondonLondonEngland

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