Title :
Fuzzy system identification and predictive control of load system in power plant
Author :
Huaguang, Zhang ; Bien, Zeungnam
Author_Institution :
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea
Abstract :
We use the T-S fuzzy model to express dynamic systems, and present an online identification algorithm for its parameters and structures. A multivariable fuzzy generalized predictive control approach is put forward based on the identified fuzzy model by means of Clark´s principle of single-variable generalized predictive control, some of whose performances are analyzed in detail. A simulation study for the multivariable load control system of an electric generating unit shows that the approach is superior to a conventional load control system
Keywords :
fuzzy control; identification; load regulation; multivariable control systems; predictive control; T-S fuzzy model; dynamic systems; fuzzy system identification; load control system; multivariable fuzzy generalized predictive control; online identification algorithm; Control systems; Fuzzy control; Fuzzy systems; Load flow control; Nonlinear dynamical systems; Power generation; Power system modeling; Predictive control; Predictive models; Stability analysis;
Conference_Titel :
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4863-X
DOI :
10.1109/FUZZY.1998.687509
