• DocumentCode
    637403
  • Title

    Neurocontroller based on ADHDP for rectifier in HVDC system

  • Author

    Xiaohua Zhou ; Chunning Song

  • Author_Institution
    Dept. of Electr. Inf. & Control Eng., Guangxi Univ. of Technol., Liuzhou, China
  • fYear
    2012
  • fDate
    18-20 Sept. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A novel neurocontroller based on ADHDP for rectifier in HVDC transmission system is presented in this paper. The action dependent heuristic dynamic programming (ADHDP), a member of the adaptive critic designs family is used for the design of the rectifier neurocontroller in HVDC. The action network and critic network of the neurocontroller are designed using BP artificial neural networks. Using a proportional-integrator approach, the proposed neurocontroller is capable of dealing with actual rather than deviation signals. Simulation results are provided to show that the proposed controller performs better than the conventional PID controller.
  • Keywords
    HVDC power transmission; PI control; backpropagation; control system synthesis; dynamic programming; neurocontrollers; power transmission control; rectifiers; ADHDP; BP artificial neural networks; HVDC transmission system; PID controller; action dependent heuristic dynamic programming; action network; adaptive critic designs family; critic network; neurocontroller; proportional-integrator approach; rectifier; Biological neural networks; HVDC transmission; Inverters; Mathematical model; Neurocontrollers; Rectifiers; Adaptive critic designs (ACDs); HVDC transmission system; action dependent heuristic dynamic programming; rectifier control;
  • 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.2012.6612492
  • Filename
    6612492