• DocumentCode
    2966882
  • Title

    Analytic Approximate Periodic Solutions Based on Harmonic Analysis

  • Author

    Bota, Constantin ; Caruntu, Bogdan ; Babescu, Marius

  • Author_Institution
    Dept. of Math., Politeh. Univ. of Timisoara, Timisoara, Romania
  • fYear
    2008
  • fDate
    26-29 Sept. 2008
  • Firstpage
    177
  • Lastpage
    182
  • Abstract
    In the present paper we introduce an analytic approximation technique based on harmonic analysis for the solution of differential equations, and we apply this technique in two concrete cases. First we study the differential equation obtained by the law of electromagnetic induction for reluctance motors. The exact analytical solution of this equation can be determined only for a few particular cases. Our paper presents a method which gives a very good approximate analytical solution for the general case, together with its harmonics. Next we use the proposed technique to solve the problem of free oscillations of self-excited systems. While other analytical techniques used to solve this problem, such as perturbation-type methods, yield useful approximations only for small parameter values, the proposed method does not depend on the existence of small parameters in the considered nonlinear equations.
  • Keywords
    approximation theory; electromagnetic induction; harmonic analysis; nonlinear differential equations; oscillations; perturbation theory; reluctance motors; analytic approximate periodic solutions; differential equations; electromagnetic induction; free oscillations; harmonic analysis; nonlinear equations; perturbation-type methods; reluctance motors; selfexcited systems; Algorithm design and analysis; Differential equations; Electromagnetic induction; Fourier series; Harmonic analysis; Mathematical model; Nonlinear equations; Perturbation methods; Reluctance motors; Torque; analytic approximate solution; current harmonics; harmonic analysis; reluctance motor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Symbolic and Numeric Algorithms for Scientific Computing, 2008. SYNASC '08. 10th International Symposium on
  • Conference_Location
    Timisoara
  • Print_ISBN
    978-0-7695-3523-4
  • Type

    conf

  • DOI
    10.1109/SYNASC.2008.48
  • Filename
    5204807