Whether the opinion about superiority of fuzzy controllers is justified

• Autorzy: Gessing R.
• Języki publikacji: EN

Abstrakty

EN

In the paper, using some MATLAB fuzzy logic toolbox Demos, in which the fuzzy controllers are compared with the classical PID ones, it is shown that the well tuned classical PID controllers are significantly better than those fuzzy presented in the Demos. It is shown, that using fuzzy approach, it is very difficult to shape the input-output nonlinearity, describing the so called fuzzy block of the fuzzy controller. It is also shown, that the linear fuzzy block (created to obtain comparable results with the classical PID controllers) is not justified at all, because it may be replaced by the usual summing junction, which is significantly simpler. The considerations of the paper do not support the idea of fuzzy controllers.

Słowa kluczowe

EN

fuzzy logic; fuzzy regulators; conventional regulators

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2010
• Tom: Vol. 58, nr 1
• Strony: 59--65
• Opis fizyczny: Bibliogr. 8 poz., rys.

Twórcy

autor

Gessing R.

• Institute of Automatic Control, Silesian Technical University, 16 Akademicka St. 44-101 Gliwice, Poland,

Bibliografia

• [1] C.C. Lee, “Fuzzy logic in control systems: fuzzy logic controller”, IEEE Trans. Systems, Man and Cybernetics 20 (2), 404–435 (1990).
• [2] D. Driankov, H. Hellendoorn, and M. Reinfrank, An Introduction to Fuzzy Control, Springer Verlag, Berlin, 1996.
• [3] W. Pedrycz, Fuzzy Control and Fuzzy Systems, Wiley and Sons, New York, 1993.
• [4] J. Jantzen, Design of Fuzzy Controllers, Technical University of Denmark, Denmark, 1998.
• [5] M. Athans, “Crisp control is always better than fuzzy feedback control”, EUFIT’99 1, CD-ROM (1999).
• [6] Programs of MATLAB 6.5 and 7.3 fuzzy logic toolbox Demos, 2005.
• [7] M. Mizumoto, “Realization of PID controls by fuzzy control methods”, IEEE, First Int. Conf. on Fuzzy Systems 92CH3073-4, 709–715 (1992).
• [8] K.M. Passino and S. Yurkovich, Fuzzy Control, Addison Wesley Longman, Menlo Park, 1998.