DocumentCode :
3009386
Title :
Research on Fuzzy-PID Composite Control Strategy for Hydroelectric Generating Unit
Author :
Wang, Shuqing ; Zhang, Zipeng ; Liu, Hui
Author_Institution :
Hubei Univ. of Technol., Wuhan, China
Volume :
4
fYear :
2009
fDate :
7-8 Nov. 2009
Firstpage :
36
Lastpage :
39
Abstract :
Conventional PID or fuzzy controller cannot get good controlling performance in the control of hydroelectric generating unit system, which is non-linear, varying with time, high steps system. In order to overcome the shortcoming of conventional fuzzy or PID controller, the fuzzy-PID composite control method is used to control it. The combining modes between fuzzy and PID were introduced in detail. Based on the model of hydroelectric generating unit, parameters and reasoning rules of every combining mode between fuzzy and PID were adjusted via expert knowledge and genetic algorithms. Each controlling strategy was simulated. The response figures, which reflected the controlling effect, were given in the paper. Based on simulating experiment, it is discussed that how fuzzy and PID combine to get better controlling effect.
Keywords :
fuzzy control; hydroelectric power stations; nonlinear control systems; power generation control; three-term control; time-varying systems; uncertain systems; expert knowledge; fuzzy-PID composite control strategy; genetic algorithms; high steps system; hydroelectric generating unit; nonlinear system; reasoning rules; time varying system; uncertain system; water plant; Control systems; Error correction; Fuzzy control; Fuzzy systems; Hydroelectric power generation; Joining processes; Nonlinear control systems; Optimal control; Steady-state; Three-term control; Fuzzy control; Fuzzy-PID composite control; PID control; hydroelectric generating unit; knowledge obtaining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
Type :
conf
DOI :
10.1109/AICI.2009.455
Filename :
5375745
Link To Document :
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