Fuzzy Logic in Process Control

Chapter

Abstract

The logic of fuzzy sets and its application in approximate reasoning have already been introduced in the last two chapters. This chapter further extends the scope of approximate reasoning of fuzzy logic in industrial process control systems. Two distinct models of fuzzy control namely Mamdani’s model and Takagi-Sugeno’s model have been discussed in this chapter with numerical illustrations. One important aspect of controller design for smart processes is to ensure stability of the closed loop control system. The chapter provides an introduction to stability analysis for the Takagi-Sugeno model, as it nowadays is widely being used in the design of industrial fuzzy controllers. The principle of defuzzification is introduced with an example. Lastly the chapter ends with a discussion on a case study of fuzzy control of a nuclear reactor.

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