• DocumentCode
    39574
  • Title

    Analysis of Flux-Linkage Characteristics of Switched Reluctance Linear Generator

  • Author

    Chen, Huanting ; Sun, Chao ; Wang, Qijie

  • Author_Institution
    Sch. of Inf. & Electr. Eng., China Univ. of Min. & Technol., Xuzhou, China
  • Volume
    24
  • Issue
    3
  • fYear
    2014
  • fDate
    Jun-14
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper analyzed the characteristics of the switched reluctance linear generator. The details of the flux paths configuration on the minimum inductance position and on the maximum inductance position are included. The calculation of the inductance in each region, the minimum phase inductance, the maximum phase inductance, and the flux-linkage at minimum phase inductance position and at maximum phase inductance position are given. The magnetic flux links model based on the radial basis function neural networks with the mathematical mapping relationship between the mover position and the phase current to the magnetic flux links is established. Simulation and the experimental study with the prototype hardware are carried out on three velocities of the mover. It is shown that the simulated phase current waveforms are consistent with the experimental results. The analytical calculation of flux-linkage at minimum inductance position and at maximum inductance position, the radial basis neural networks magnetic flux links model, and the model of calculating phase current are validated.
  • Keywords
    magnetic flux; neural nets; reluctance generators; flux linkage characteristics; flux paths configuration; magnetic flux links model; maximum inductance position; minimum inductance position; phase inductance; radial basis function neural networks; switched reluctance linear generator; Generators; Inductance; Magnetic flux; Mathematical model; Stator windings; Switches; Artificial neural network; flux-linkage; generator control; linear generator; switched reluctance;
  • fLanguage
    English
  • Journal_Title
    Applied Superconductivity, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8223
  • Type

    jour

  • DOI
    10.1109/TASC.2013.2284718
  • Filename
    6620999