• DocumentCode
    3371240
  • Title

    Analysis of aperiodic and chaotic motions in a switched reluctance linear motor

  • Author

    De Castro, M.R. ; Robert, B.G.M. ; Goeldel, C.

  • Author_Institution
    CReSTIC, Univ. of Reims Champagne-Ardenne, Reims, France
  • fYear
    2010
  • fDate
    May 30 2010-June 2 2010
  • Firstpage
    137
  • Lastpage
    140
  • Abstract
    This paper deals with a nonlinear dynamics analysis of strange attractors stemming from a switched reluctance linear motor (SRLM). This is the first stepping to provide a complete dynamic characterization of the real prototype whose data will be analyzed in the next stage of this work. This paper defines, by comparison, the most precise algorithm to estimate the Lyapunov exponents from the ODE´s system. Bifurcations and chaos are simulated using a simplified dimensionless dynamical model. Fractal dimensions are computed both for computed data and for an embedded attractor. The fractal analysis is completed by the computation of Lyapunov exponents. These theoretical analyses are of the most importance for validating the analysis methodology before applying it to experimental data.
  • Keywords
    Lyapunov methods; bifurcation; chaos; fractals; linear motors; reluctance motors; Lyapunov exponent; SRLM; aperiodic motions; bifurcation; chaotic motions; fractal dimensions; switched reluctance linear motor; Bifurcation; Chaos; Computational modeling; Data analysis; Embedded computing; Fractals; Motion analysis; Nonlinear dynamical systems; Prototypes; Reluctance motors; Chaos; Fractal dimension; Lyapunov exponents; Nonlinear dynamics; Reluctance motor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-5308-5
  • Electronic_ISBN
    978-1-4244-5309-2
  • Type

    conf

  • DOI
    10.1109/ISCAS.2010.5536969
  • Filename
    5536969