• DocumentCode
    3296378
  • Title

    Real-time models for induction machine dynamics

  • Author

    Sureshbabu, N. ; Powell, B.K.

  • Author_Institution
    Ford Res. Lab., MD, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    245
  • Lastpage
    250
  • Abstract
    In an earlier work we have shown that a transition matrix based discrete-time model is the most efficient for real-time implementation. We also noted that this model can be further enhanced for real-time performance considerations if the computational complexity is reduced. In this paper we develop a technique that reduces the computational complexity
  • Keywords
    asynchronous machines; computational complexity; digital simulation; discrete time systems; dynamics; electric machine analysis computing; matrix algebra; real-time systems; computational complexity reduction; induction machine dynamics; real-time implementation; real-time models; real-time performance considerations; transition matrix based discrete-time model; Computational modeling; Computer simulation; Frequency; Hardware; Hybrid electric vehicles; Induction machines; Operating systems; Physics computing; Sampling methods; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics, 1999. Proceedings. 1999 IEEE/ASME International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    0-7803-5038-3
  • Type

    conf

  • DOI
    10.1109/AIM.1999.803174
  • Filename
    803174