• DocumentCode
    1668839
  • Title

    Neural network torque estimator for switched reluctance motor

  • Author

    Pavlitov, Constantin ; Chen, Hao ; Gorbounov, Yassen ; Georgiev, Tzanko ; Xing, Wang ; Zan, Xiaoshu

  • Author_Institution
    Tech. Univ. of Sofia, Sofia, Bulgaria
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    The neural network torque estimator is based on the identification model of SR motors. It is derived from this model using the concept of superposition of elementary models. The estimator can be applied in SRM controllers where the limitation of dynamic torque is of importance. It is also useful for torque ripple reduction.
  • Keywords
    electric machine analysis computing; neural nets; reluctance motors; SRM controllers; elementary models; neural network torque estimator; switched reluctance motor; torque ripple reduction; Artificial neural networks; Inductance; Mathematical model; Neural networks; Reluctance machines; Reluctance motors; Rotors; Stators; Strontium; Torque; Estimation technique; Modelling; Neural network; Switched reluctance drive;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Applications, 2009. EPE '09. 13th European Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-4432-8
  • Electronic_ISBN
    978-90-75815-13-9
  • Type

    conf

  • Filename
    5279060
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1668839