DocumentCode :
387585
Title :
Variable structure neuron control for hydraulic turbine generators
Author :
Wang, Ning ; Huang, Cheng-Zhi ; Liu, Hai-Fei
Author_Institution :
Res. Inst. of Adv. Process Control, Zhejiang Univ., Hangzhou, China
Volume :
3
fYear :
2002
fDate :
2002
Firstpage :
1550
Abstract :
The variable structure neuron model-free control method for hydraulic turbine generators is proposed in this paper. Based on the neuron model and the learning strategy for control, the variable structure neuron control system is designed. The simulation experiments of controlling the hydraulic turbine generator are made. The results illustrate that this model-free control method has a good performance, strong robustness and adaptability. This new controller is also very simple.
Keywords :
dynamics; hydroelectric generators; learning (artificial intelligence); neurocontrollers; variable structure systems; adaptability; dynamic characteristics; hydraulic turbine generator; learning strategy; model-free control; neurocontrol; robustness; variable structure system; Character generation; Control systems; Electric variables control; Equations; Fluctuations; Frequency; Hydraulic turbines; Neurons; Optimal control; Servomechanisms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
Type :
conf
DOI :
10.1109/ICMLC.2002.1167470
Filename :
1167470
Link To Document :
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