• DocumentCode
    2435302
  • Title

    An adaptive control system via a Riccati equation and its application to power systems

  • Author

    Matsuo, Taka Mi ; Tsunetsugu, Katsuki ; Okada, Hidehiko ; Ezaki, Tada O.

  • Author_Institution
    Dept. of Production Syst. Eng., Oita Univ., Japan
  • Volume
    3
  • fYear
    1996
  • fDate
    5-10 Aug 1996
  • Firstpage
    1933
  • Abstract
    The dynamics of power systems contain the nonlinearities such as trigonometric functions and the parameter uncertainties of reactances of transmission lines caused by short circuit faults. Wang et al. proposed an adaptive nonlinear controller for a single generator connected through two parallel transmission lines to an infinite bus. They employed the feedback linearization technique and the linear adaptive control technique. Though they used the power angle, the relative speed of the generator and the active electrical power as feedback signals, the power angle is not usually available. So, we design an adaptive nonlinear controller without the power angle feedback-path for Wang´s power systems model. We employ the adaptive control method with a Riccati equation in designing the power system stabilizer
  • Keywords
    Riccati equations; adaptive control; electric reactance; feedback; linearisation techniques; nonlinear control systems; power system control; power system stability; power transmission lines; short-circuit currents; Riccati equation; active electrical power; adaptive control system; adaptive nonlinear controller; feedback linearization technique; feedback signals; generator relative speed; linear adaptive control technique; parallel transmission lines; parameter uncertainties; power angle; power system stabilizer; power systems; reactances; short circuit faults; transmission lines; trigonometric functions; Adaptive control; Distributed parameter circuits; Feedback; Nonlinear dynamical systems; Nonlinear equations; Power system dynamics; Power system modeling; Power transmission lines; Programmable control; Riccati equations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, Control, and Instrumentation, 1996., Proceedings of the 1996 IEEE IECON 22nd International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    0-7803-2775-6
  • Type

    conf

  • DOI
    10.1109/IECON.1996.570770
  • Filename
    570770