• DocumentCode
    711488
  • Title

    Comparative analysis of discrete aperiodic and optimal controllers for the synthesis of control systems for plants with delay

  • Author

    Lialko, Andrei

  • Author_Institution
    Dept. of Autom. of Production Processes & Electr. Eng., Belarusian State Technol. Univ., Minsk, Belarus
  • fYear
    2015
  • fDate
    21-21 April 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this work are considered two analytical method of synthesis of control systems for objects with delay: the discrete aperiodic controller offered in R. Izerman´s works and the optimal controller received on the basis of square criterion of quality and Bellman´s equation. In the synthesis of discrete aperiodic controller sampling period selection in such a way, that the control signal was limited by the maximum allowable value. Synthesis of the optimal controller was carried out on the basis of tracking a reference signal for state space variables. The delay has been expanded in a Pade series of the second order. Estimation of the state-space variables was made by means of the observer calculated on Akkerman´s formula on the basis of desired disposition of the poles.
  • Keywords
    control system synthesis; delays; discrete systems; optimal control; sampling methods; state-space methods; Akkerman´s formula; Bellman´s equation; Pade series; control system synthesis; delay; discrete aperiodic controller sampling period selection; discrete optimal controller synthesis; poles; reference signal tracking; square criterion; state-space variables; Delays; Mathematical model; Observers; Optimal control; Software packages; Transfer functions; control systems; discrete aperiodic controller; optimum controller; plant with delay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Electronic and Information Sciences (eStream), 2015 Open Conference of
  • Conference_Location
    Vilnius
  • Type

    conf

  • DOI
    10.1109/eStream.2015.7119490
  • Filename
    7119490