Linguistic If-Then Rules in Large Scale Application of Fuzzy Control
In this Chapter, we will describe a large scale application of fuzzy control, which has been realized in the Czech Republic. It concerns the enterprise, which is a part of the Metallurgic Plant Břidličná, a.s., an important producer of the high quality aluminium in the Czech Republic. The applications of fuzzy control started in 1995. After good experiences with the first furnace fuzzy control, it was decided to apply it on the other four furnaces one by one, too. At present, the system works in the whole enterprise on all five furnaces. We have used the linguistically oriented fuzzy logic controller, for which it is specific to interpret the IF-THEN rules as linguistically characterized logical implications and the inference is logical deduction based on the formal fuzzy logic in broader sense.
KeywordsBurning Furnace Transportation Stratas
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- Bělohlávek, R., and V. Novák. Learning Rule Base of the Linguistic Expert Systems. Int. J. of Soft Computing (submitted).Google Scholar
- Kruse, R., Gebhardt, J., and Klawonn, F. (1994). Foundations of Fuzzy Systems, Chichester: Wiley.Google Scholar
- Mamdani, E.H. (1974). “Applications of fuzzy algorithms for simple dynamic plant,” Proc. IEE 121, 1585–1588.Google Scholar
- Novák, V., and I. Perfilieva (1999). “Evaluating Linguistic Expressions and Functional Fuzzy Theories in Fuzzy Logic,” In: L. A. Zadeh and J. Kacpryk (eds.): Computing with Words in Information/Intelligent Systems 1. Springer-Verlag, Heidelberg, 383–406.Google Scholar
- Prokop, R., Turisová, Z., and Meszaros, A. (1992). “Unified Self-Tuners for Industrial Applications,” Proc. of IFAC Symposium on LCA’92, Vienna, Austria.Google Scholar