• DocumentCode
    2793591
  • Title

    Research of Brushless DC Motor Simulation System Based on RBF-PID Algorithm

  • Author

    Fan, Xu ; Meng, Fanlin ; Fu, Changhong ; Luo, Zhifeng ; Wu, Shunxiang

  • Author_Institution
    Dept. of Autom., Xiamen Univ., Xiamen, China
  • Volume
    2
  • fYear
    2009
  • fDate
    Nov. 30 2009-Dec. 1 2009
  • Firstpage
    277
  • Lastpage
    280
  • Abstract
    This paper has made a thorough analysis of brushless DC motor simulation system, in which we use a single neuron PID control algorithm based on RBF neural network for on-line identification (RBF-PID Algorithm). A special human-computer interaction (HCI) interface was designed in this paper, which provides interface for users to set the correlative parameters and select related control algorithm. Two control algorithms: Conventional PID and RBF-PID algorithm were respectively adopted in this paper to make a comparison. The result shows that RBF-PID Algorithm performs better controlling Brushless DC Motor. Thus, the Simulation System is of great advantage for parameters testing and setting for the controller of Brushless DC Motor compared with traditional manual methods in practical use.
  • Keywords
    brushless DC motors; control engineering computing; electric machine analysis computing; radial basis function networks; three-term control; RBF neural network; RBF-PID Algorithm; brushless DC motor simulation system; human-computer interaction; online identification; single neuron PID control algorithm; Algorithm design and analysis; Analytical models; Brushless DC motors; Displays; Flowcharts; Human computer interaction; Knowledge acquisition; Neural networks; Radial basis function networks; Three-term control; Brushless DC Motor; HCI; RBF algorithm; Simulation System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3888-4
  • Type

    conf

  • DOI
    10.1109/KAM.2009.212
  • Filename
    5361944