• DocumentCode
    230182
  • Title

    DC motor control based on artificial neural network and adaptive PI

  • Author

    Pengpraderm, S. ; Ruangsinchaiwanich, S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Rajamangala Univ. of Technol. Lanna Tak, Lanna Tak, Thailand
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    2701
  • Lastpage
    2704
  • Abstract
    This research proposes an adaptive PI controller for controlling DC motor. The feed-forward neural network is selected to cooperate with PI controller for improving motor control while the motor is operated in compressed load. The results showed that the proposed control method can potentially improve control performances, such as reduce ripple and overshoot.
  • Keywords
    DC motors; PI control; adaptive control; feedforward neural nets; machine control; DC motor control; adaptive PI controller; artificial neural network; compressed load; feed-forward neural network; Adaptive systems; Artificial neural networks; DC motors; Force; Training; Transfer functions; PI controller; adaptive PI controlle; artificial neural network; r DC motor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/ICEMS.2014.7013957
  • Filename
    7013957
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=230182