• DocumentCode
    2748962
  • Title

    Chaos detection in velocity control of induction motor and its control by using neural network

  • Author

    Asakura, Toshiyuki ; Yoneda, Keizo ; Saito, Yoshinobn ; Shioya, Masaomi

  • Author_Institution
    Fac. of Eng., Fukui Univ., Japan
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1633
  • Abstract
    This paper is concerned with the occurrence of chaotic motion and its chaos control in the velocity control system of an induction motor. The induction motor is currently used by realization of the so-called vector control method, which is superior to a DC motor in maintenance. But, the stability of the velocity control system is not established, neither is its robustness. The dynamics of the induction motor is represented by nonlinear equations with three inputs and three outputs. Though precise parameters are necessary for the vector control method, there are often identified errors in parameters. Then, it is known that chaotic motions may occur in the system due to the effect of nonlinear terms. In this paper, the existence of chaotic motion in the velocity control system can be verified, and the generating conditions of chaotic motion are found. In order to prevent chaos occurrence, a chaos control method is proposed by using the neural network controller
  • Keywords
    Lyapunov methods; chaos; controllers; induction motors; neural nets; nonlinear equations; power system stability; velocity control; Lyapunov exponent; chaos control method; chaos detection; chaotic motion; induction motor; neural network controller; nonlinear equations; nonlinear terms; vector control method; velocity control system stability; Chaos; Control systems; DC motors; Induction motors; Machine vector control; Motion control; Nonlinear dynamical systems; Robust control; Robust stability; Velocity control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-5747-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2000.893414
  • Filename
    893414