• DocumentCode
    268898
  • Title

    Parameter Identification of a Permanent Magnet Synchronous Machine based on Current Decay Test and Particle Swarm Optimization

  • Author

    Pérez, J.N.H. ; Hernandez, O.S. ; Caporal, R.M. ; de J R Magdaleno, J. ; Barreto, H.P.

  • Author_Institution
    Inst. Tecnol. de Apizaco, Tlaxcala, Mexico
  • Volume
    11
  • Issue
    5
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    1176
  • Lastpage
    1181
  • Abstract
    The Permanent Magnet Synchronous Machine (PMSM) is widely used in industrial applications. In order to obtain a high performance operation, an accurate knowledge of the machine parameters, such as direct (d) and quadrature (q) stator inductances is necessary. This paper presents two different methods to identify the stator inductances taking into account the magnetic saturation. First, Current Decay Test (CDT) is presented, then, Particle Swarm Optimization (PSO) algorithm. Both methods are used to identify the stator inductances. An own power electronic drive and a low cost digital signal processor (DSP) have been used on the experimental setup. Experimental results are presented to validate the theoretical work.
  • Keywords
    electric drives; inductance; particle swarm optimisation; permanent magnet machines; signal processing; stators; synchronous machines; CDT; DSP; PSO algorithm; current decay test; low cost digital signal processor; magnetic saturation; parameter identification; particle swarm optimization; permanent magnet synchronous machine; power electronic drive; stator inductance; Digital signal processing; Insulated gate bipolar transistors; Laboratories; Parameter estimation; Permanent magnet machines; Rotors; Vectors; Digital signal processor; PSO; parameter identification; permanent magnet synchronous machine;
  • fLanguage
    English
  • Journal_Title
    Latin America Transactions, IEEE (Revista IEEE America Latina)
  • Publisher
    ieee
  • ISSN
    1548-0992
  • Type

    jour

  • DOI
    10.1109/TLA.2013.6684392
  • Filename
    6684392