• DocumentCode
    136973
  • Title

    Fuzzy adaptive modelling for the flux linkage of a switched reluctance motor

  • Author

    Zhao Liu ; Shengjie Jiao ; Min Ye

  • Author_Institution
    Nat. Eng. Lab. for Highway Maintenance Equip., Chang´an Univ., Xi´an, China
  • fYear
    2014
  • fDate
    Aug. 31 2014-Sept. 3 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    To decrease the torque ripple, the direct torque control for a 8/6 switched reluctance motor (SRM) are presented by borrowing the idea from an induction motor. The four-order orthogonal transformation matrix of the flux linkage of a SRM is derived step by step based on energy conservation principle. The relation between the spatial flux linkage and the voltage vector is analyzed, and the switching table of the voltage vector is designed. A simulation study are carried out both for the fuzzy adaptive model and the traditional linear model. The simulated results showed that direct torque control based on fuzzy T-S model is superior to traditional linear model, in that the velocity is more stable and the torque is more precise.
  • Keywords
    fuzzy control; machine control; model reference adaptive control systems; reluctance motors; torque control; direct torque control; energy conservation; four order orthogonal transformation matrix; fuzzy T-S model; fuzzy adaptive model; induction motor; linear model; spatial flux linkage; switched reluctance motor; torque ripple; voltage vector; Couplings; Mathematical model; Reluctance motors; Switches; Torque; Vectors; Windings; electric vehicle; flux linkage; fuzzy adaptive modelling; orthogonal transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-4240-4
  • Type

    conf

  • DOI
    10.1109/ITEC-AP.2014.6941221
  • Filename
    6941221