• DocumentCode
    2567785
  • Title

    Software Design of Motor Control System Based on Neural Network

  • Author

    Zhang, Xin-Hua

  • Author_Institution
    Fac. of Econ. & Manage., Shangqiu Normal Univ., Shangqiu, China
  • fYear
    2009
  • fDate
    15-17 May 2009
  • Firstpage
    362
  • Lastpage
    365
  • Abstract
    Along with the development of power electronics and digital technology, motor has attracted great attention of academic circles for its predominant structure, performance and economic indicator and occupied an important place in the field of electric drive in recent years, against the background of continuous increase of demands in various application fields, the study and design of motor control system are the result from the situation as well as the first imperative of people explore in this field. This paper takes DSP as system core and uses artificial neural network control algorithm to design a set of all-digital controlled motor control system software, and uses a modular programming method and control program based on multi-interrupt to improve the efficiency of control software.
  • Keywords
    control system CAD; digital control; digital signal processing chips; electric motors; machine control; neurocontrollers; all-digital controlled motor; artificial neural network control algorithm; control program; digital technology; electric drive; modular programming method; motor control system; power electronics; software design; Algorithm design and analysis; Artificial neural networks; Control systems; Digital signal processing; Economic indicators; Motor drives; Neural networks; Power electronics; Software algorithms; Software design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    2009 International Conference on Signal Processing Systems
  • Conference_Location
    Singapore
  • Print_ISBN
    978-0-7695-3654-5
  • Type

    conf

  • DOI
    10.1109/ICSPS.2009.215
  • Filename
    5166808