• DocumentCode
    482284
  • Title

    The measurement and prediction of iron loss under nonsinusoidal voltage waveform with arbitrary frequency

  • Author

    Nie, Yalin ; Hu, Qiansheng ; Huang, Yunkai

  • Author_Institution
    Sch. of Electr. Eng., Southeast Univ., Nanjing
  • fYear
    2008
  • fDate
    17-20 Oct. 2008
  • Firstpage
    232
  • Lastpage
    236
  • Abstract
    Based on the Bertottipsilas loss separation model, the analysis and calculation of iron loss is proposed under sinusoidal, triangular and square waveform regimes, meanwhile, the corresponding loss prediction models are given. An improved law of Epstein frame for measuring iron loss is presented. The loss curves are measured for two types of silicon iron laminations under voltage supply with arbitrary frequency and three waveforms. The nonlinear regression is then given to the experimental results, and parameters in the prediction model are worked out, and there is hardly any discrepancy between the computed and the measured results. It is proved that parameters in the prediction formula vary only with the particular waveforms of the supply for the certain ferromagnetic material. Having the knowledge of loss data under sinusoidal regime at 50 Hz which are always offered by the silicon iron manufacturers, it is easy to gain the loss under other waveform regimes by multiplying certain constants to each loss component. The analysis and calculation of iron loss under nonsinusoidal regime is necessary and meaningful.
  • Keywords
    eddy current losses; magnetic cores; magnetic leakage; arbitrary frequency; iron loss; nonlinear regression; nonsinusoidal voltage waveform; Brushless DC motors; DC motors; Eddy currents; Frequency measurement; Hysteresis motors; Iron; Loss measurement; Magnetic fields; Magnetic separation; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3826-6
  • Electronic_ISBN
    978-7-5062-9221-4
  • Type

    conf

  • Filename
    4770688