• DocumentCode
    553241
  • Title

    Sensorless control of SRM by the aid of artificial neural network adaptive reference model

  • Author

    Constantin, P. ; Chen Hao ; Colak, Ilhami ; Tasho, T. ; Yassen, G.

  • Author_Institution
    Tech. Univ. of Sofia, Sofia, Bulgaria
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 1 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper deals with an adaptive reference controlled SRM, based on a virtual model implemented by the aid of artificial neural networks. That makes the model quite precise and adequate and permits real SRM and full-order observer to work in parallel. This observer promotes the implementation of sensorless control.
  • Keywords
    adaptive control; neurocontrollers; observers; reluctance motors; sensorless machine control; adaptive reference controlled SRM; artificial neural network; full-order observer; sensorless control; switched reluctance motor; Adaptation models; Computational modeling; Mathematical model; Reluctance motors; Sensorless control; Stators; Torque; Adaptive control; Modelling; Neural network; Sensorless control; Switched reluctance drive;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Applications (EPE 2011), Proceedings of the 2011-14th European Conference on
  • Conference_Location
    Birmingham
  • Print_ISBN
    978-1-61284-167-0
  • Electronic_ISBN
    978-90-75815-15-3
  • Type

    conf

  • Filename
    6020094
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=553241