• DocumentCode
    2037439
  • Title

    Real-time implementation of on-line trained neuro-controller for a BLDC motor

  • Author

    Salem, M.M. ; Atia, Y. ; Zahran, M.B. ; Zaki, A.M.

  • Author_Institution
    Electron. Res. Inst., Cairo, Egypt
  • fYear
    2004
  • fDate
    3-5 June 2004
  • Firstpage
    154
  • Lastpage
    158
  • Abstract
    Implementation and experimental verification of a simple neuro-controller (SNC) as a speed controller for a BLDC motor is presented. The SNC with one weight and a linear hard limit activation function is trained on-line using the back propagation algorithm. A modified error function is used to ensure good performance during the on-line training, which has been used without previous off-line training. The SNC has been implemented using a computer-interface card mounted on a PC. The driving system performance has been investigated by a number of experimental tests for a variety of input reference speed trajectories.
  • Keywords
    adaptive control; angular velocity control; backpropagation; brushless DC motors; machine control; neurocontrollers; BLDC motor; adaptive control; backpropagation algorithm; computer interface card; error function; input reference speed trajectory; online trained neurocontroller; speed control; Adaptive control; Artificial neural networks; Automatic control; Brushless DC motors; Control systems; Control theory; DC motors; Feedforward neural networks; Neural networks; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics, 2004. ICM '04. Proceedings of the IEEE International Conference on
  • Print_ISBN
    0-7803-8599-3
  • Type

    conf

  • DOI
    10.1109/ICMECH.2004.1364429
  • Filename
    1364429