• DocumentCode
    3232831
  • Title

    Application of PID control based on BP-NN for marine generator excitation system

  • Author

    Zheng Meng-di ; Wu Xi-xiu ; Qin Wei ; Long Fei ; Li Bo

  • Author_Institution
    Inst. of Autom., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2012
  • fDate
    18-20 Sept. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The PID controller of synchronous generator excitation plays an important role to control the field current in the marine power system. With the development of marine power system, conventional PID excitation controller can not meet the dynamic performance requirements of the running system. In order to overcome the shortcomings of the conventional PID controller, a PID controller of the marine generator excitation system based on BP neural network is proposed in this paper. Simulation results show that the marine generator excitation system of PID control based on BP neural network has excellent characteristics which are fast response, high steady-state accuracy and strong robustness. The system is suitable for variable needs of the modern marine synchronous generator excitation system.
  • Keywords
    backpropagation; electric current control; machine vector control; marine power systems; neurocontrollers; synchronous generators; three-term control; BP neural network; BP-NN; PID excitation controller; field current control; marine power system; marine synchronous generator excitation system; Biological neural networks; Mathematical model; Neurons; PD control; Steady-state; BP neural network; PID; excitation system; marine generator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering and Automation Conference (PEAM), 2012 IEEE
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4577-1599-0
  • Type

    conf

  • DOI
    10.1109/PEAM.2012.6612457
  • Filename
    6612457