• DocumentCode
    2334406
  • Title

    Sampling problems using Mixed Random Modulation Techniques (MRMT) for the reduction of magnetic noise in traction motors

  • Author

    Accardo, L. ; Fioretto, M. ; Giannini, G. ; Marino, P.

  • Author_Institution
    Technol. & Product Dev., Ansaldobreda SPA, Naples
  • fYear
    2008
  • fDate
    11-13 June 2008
  • Firstpage
    1199
  • Lastpage
    1204
  • Abstract
    In order to reduce magnetic-acoustic noise emitted by asynchronous traction motors fed by inverter, a new kind of space vector modulation techniques have been developed. By using these, called mixed random modulation techniques (MRMT), a better ldquosound qualityrdquo of emitted noise is reached. They act modifying both SVM pulse position and SVM switching frequency. This action prevents the right sampling of motor currents, used by control algorithms. Basically the problem is due to the assumption that SVM pulse is centered into the switching period. This is wrong using MRMT. Through simulation, three strategies have been implemented. The chosen strategy has been tested together with the complete propulsion system of AnsaldoBreda tram Sirio.
  • Keywords
    induction motors; interference suppression; sampling methods; traction motors; AnsaldoBreda tram Sirio; SVM pulse position; SVM switching frequency; asynchronous traction motors; magnetic-acoustic noise reduction; mixed random modulation techniques; propulsion system; sampling problems; space vector modulation techniques; Inverters; Magnetic modulators; Magnetic noise; Noise reduction; Propulsion; Sampling methods; Support vector machines; Switching frequency; System testing; Traction motors; Acoustic noise; DFT sampling; mixed random modulation techniques; sampling problems; space vector modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics, Electrical Drives, Automation and Motion, 2008. SPEEDAM 2008. International Symposium on
  • Conference_Location
    Ischia
  • Print_ISBN
    978-1-4244-1663-9
  • Electronic_ISBN
    978-1-4244-1664-6
  • Type

    conf

  • DOI
    10.1109/SPEEDHAM.2008.4581270
  • Filename
    4581270