Title :
Application of fuzzy modeling to power plant generator control
Author :
Zambenedetti, V.C. ; Murakami, S.
Author_Institution :
Dept. of Comput. Sci., Kyushu Inst. of Technol., Kitakyushu, Japan
Abstract :
The paper presents a fuzzy modeling of a power plant generator that is defined by a well-known set of differential equations used for transient control. Its main motivations are (1) to demonstrate the validity of the identification method based on fuzzy inference rules and (2) because a power plant has strong non-linearity and many conventional, non-fuzzy control tends to linearize it, the non-linear characteristics of fuzzy control can be useful to better describe and control this system. Results of simulations are shown
Keywords :
differential equations; electric generators; fuzzy control; fuzzy set theory; inference mechanisms; machine control; parameter estimation; power plants; differential equations; fuzzy inference rules; fuzzy modeling; identification method; nonlinear characteristics; power plant generator control; simulations; transient control; Cities and towns; Computer science; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Humans; Power generation; Power system modeling; Predictive models;
Conference_Titel :
Tools with Artificial Intelligence, 1994. Proceedings., Sixth International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-8186-6785-0
DOI :
10.1109/TAI.1994.346495
