• DocumentCode
    2312526
  • Title

    Studies in Design of High Torque Three-Phase Squirrel-Cage AC Traction Motor with Aluminium Alloy Rotor Bars and Parameter Optimization using Artificial Neural Networks

  • Author

    Paul, R.N. ; Arya, L.D. ; Verma, H.K.

  • Author_Institution
    Daulat Ram Eng. Services (Pvt.) Ltd., Mandideep
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The most vital parameter of locomotive operation is based on enhancing the kW/kg ratio of traction motor. The change over to three-phase squirrel-cage AC traction motor in electric locomotives, on inverter supply, made the traction drive most economical with high kW/kg ratio, thereby also reducing the un-sprung mass on the axle. In AC traction motor, alternative aluminium alloy rotor bars have been proposed to achieve better performance, light weight, cost reduction, and to meet the scarcity of copper to come in future. Design of rotor plays a vital role in development of torque on motor shaft. The important parameter in design of AC traction motor under inverter supply is the consideration of harmonics generated by it. In this paper, back propagation artificial neural network technique has been adopted to optimize the output design parameters of the AC traction motor rotor with aluminium alloy bars, keeping the stator design un changed. The comparison of AC traction motor with copper bars vis-vis aluminium alloy rotor bars in respect of torque developed and efficiency have been dealt in this study which present a good alternative approach in AC traction motor design.
  • Keywords
    AC motors; aluminium alloys; equivalent circuits; neural nets; optimisation; rotors; squirrel cage motors; aluminium alloy rotor bars; artificial neural networks; electric locomotives; locomotive operation; motor shaft; parameter optimization; three-phase squirrel-cage AC traction motor; Aluminum alloys; Artificial neural networks; Axles; Bars; Copper; Design optimization; Inverters; Rotors; Torque; Traction motors; AC traction motor; aluminium alloy rotor bars; artificial neural networks; efficiency; electrical design parameters; harmonic equivalent circuit; harmonics generated by inverter supply; kW/kg ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology and IEEE Power India Conference, 2008. POWERCON 2008. Joint International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-1-4244-1763-6
  • Electronic_ISBN
    978-1-4244-1762-9
  • Type

    conf

  • DOI
    10.1109/ICPST.2008.4745161
  • Filename
    4745161