Title :
Compound fuzzy neural control with application to hydro-turbine governing system
Author :
Cai, Wei-you ; Liu, Hai-feng ; Chen, Guang-da ; Pin-Mei Yie ; Yu-Sheng Cao
Author_Institution :
Sch. of Power & Mech. Eng., Wuhan Univ., China
Abstract :
The hydro-turbine governing system is a nonlinear, nonminimum phase, time-variant system. To improve the performance of the control system, it is necessary to find a good algorithm. In this paper, the compound fuzzy neural control, which combines the advantages of fuzzy control and neural control, is introduced. The simulation and analysis show that the proposed method is effective and better than the conventional PID control system.
Keywords :
fuzzy control; hydraulic turbines; hydroelectric generators; neurocontrollers; nonlinear systems; time-varying systems; fuzzy control; hydro turbine governing system; intelligent control; neurocontrol; nonlinear systems; nonminimum phase systems; time-variant. systems; Automatic generation control; Control systems; Error correction; Fuzzy control; Fuzzy sets; Fuzzy systems; Intelligent control; Intelligent systems; Neurons; Nonlinear control systems;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1174518
