• DocumentCode
    3012058
  • Title

    Improvement of Position Controller Based on Fuzzy Neural Network Performance

  • Author

    Weihua, Jiang ; Hao, Wang

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Wuhan Insitute of Technol., Wuhan, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    1180
  • Lastpage
    1182
  • Abstract
    With the modification of laser sub-marker controlling system, the intelligent harmony close-loop position servo system is designed in this article, which meets the requirement of high performance in position servo system. It bears the advantage of fuzzy controlling and nerve network controlling technology, and it weakens the influence on the system from non-linear factors. Thus the design improves the position accuracy of servo motor and position tracing, which guarantee the precision of three-dimension laser processing system.
  • Keywords
    closed loop systems; fuzzy control; fuzzy neural nets; neurocontrollers; nonlinear control systems; position control; servomechanisms; fuzzy neural network performance; intelligent harmony close-loop position servo system; laser submarker controlling system; nerve network controlling technology; nonlinear factors; position controller; three-dimension laser processing system; Accuracy; Artificial neural networks; Equations; Fuzzy control; Regulators; Servomotors; Training; intelligent harmony; laser sub-marker; position; position tracing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.294
  • Filename
    5631513