Fuzzy Model Reference Learning Control for a Nonlinear Model of Hydrogenerator Unit

Author

Ling Daijian

Author_Institution

Coll. of Civil Eng., Yangzhou Univ., Yangzhou

fYear

2009

fDate

23-24 May 2009

Firstpage

1

Lastpage

4

Abstract

The principle of fuzzy model reference learning control (FMRLC) is expatiated in this paper. The FMRLC approach is applied to a nonlinear dynamical model of hydrogenerator unit by adjusting or changing fuzzy rule-base. The simulation results are compared with PED control scheme with genetic algorithm (GA-PID) in both 2.5 Hz frequency disturbance and 30% load rejection. And the simulations indicate that FMRLC is more effective for the improvement of dynamical performances with better frequency response and less undershoot. Also, it is effective to the nonlinear model of hydraulic turbine governing system with not only time-invariant parameters but also time-varying parameters.

Keywords

fuzzy control; hydraulic turbines; learning systems; model reference adaptive control systems; nonlinear dynamical systems; time-varying systems; PED control; fuzzy model reference learning control; fuzzy rule-base; genetic algorithm; hydraulic turbine; hydrogenerator unit; nonlinear dynamical model; time-invariant parameters; time-varying parameters; Control systems; Fuzzy control; Fuzzy systems; Genetic algorithms; Hydraulic turbines; Nonlinear control systems; Nonlinear dynamical systems; Performance evaluation; Three-term control; Time varying systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-3893-8

Electronic_ISBN

978-1-4244-3894-5

Type

conf

DOI

10.1109/IWISA.2009.5072877

Filename

5072877