• 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