• DocumentCode
    2639388
  • Title

    Fractional derivative control designs by inhomogeneous sampling for systems with nonlinear elements

  • Author

    Ikeda, Fujio ; Toyama, Shigehiro

  • Author_Institution
    Kochi Nat. Coll. of Technol., Kochi
  • fYear
    2007
  • fDate
    17-20 Sept. 2007
  • Firstpage
    1224
  • Lastpage
    1227
  • Abstract
    This paper presents an efficient numerical method to realize a discrete model of fractional order PID controllers for systems containing backlash nonlinearity. This model is based on a class of Stieltjes integrals transferred from the Riemann-Liouville definition. The discretization method is to calculate on inhomogeneous sampling periods which are getting longer as the operation points go back toward the initial time. It leads to the effective quality which has low computational costs and enough accuracy. A practical controller design is applied for an inverted pendulum system containing gear-backlash. The simulation and experimental results show that the fractional PID control system has superior performance against backlash nonlinearity and thus the backlash vibration can be suppressed.
  • Keywords
    control nonlinearities; control system synthesis; integral equations; nonlinear control systems; pendulums; three-term control; PID controller design; Riemann-Liouville definition; Stieltjes integrals; backlash nonlinearity; discretization method; fractional derivative control designs; gear-backlash; inhomogeneous sampling periods; inverted pendulum system; nonlinear system elements; Computational efficiency; Control design; Control system synthesis; Control systems; Educational institutions; Electronic mail; Gears; Nonlinear control systems; Sampling methods; Three-term control; Backlash nonlinearity; Discrete model; Fractional derivative; PID control; Stieltjes integral;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE, 2007 Annual Conference
  • Conference_Location
    Takamatsu
  • Print_ISBN
    978-4-907764-27-2
  • Electronic_ISBN
    978-4-907764-27-2
  • Type

    conf

  • DOI
    10.1109/SICE.2007.4421171
  • Filename
    4421171