• DocumentCode
    2821051
  • Title

    Comparison of the sliding observer to several state estimators using a rotational inverted pendulum

  • Author

    Thein, May-Win L. ; Misawa, Eduardo A.

  • Author_Institution
    Sch. of Mech. & Aerosp. Eng., Oklahoma State Univ., Stillwater, OK, USA
  • Volume
    4
  • fYear
    1995
  • fDate
    13-15 Dec 1995
  • Firstpage
    3385
  • Abstract
    Because of the inherent characteristics of nonlinear systems, state estimation of these systems continues to pose difficult problems. The objective of this paper is to test the sliding mode observer technique on a highly nonlinear non-minimum phase system. The chosen system is the rotational inverted pendulum system of Misawa, Arrington, and Ledgerwood. In addition, the observer technique is compared to that of other techniques: the linear Kalman filter, Thau´s method, the adaptive observer, the high gain observer, the multistage nonlinear observer, and the equivalent control-based sliding mode observer. The bases of comparison is performance, robustness against disturbances and modeling errors, stability, and ease of application
  • Keywords
    Kalman filters; linear quadratic control; nonlinear control systems; observers; position control; robust control; variable structure systems; Thau´s method; adaptive observer; control-based sliding mode observer; high gain observer; linear Kalman filter; modeling errors; multistage nonlinear observer; nonlinear systems; nonminimum phase system; robustness; rotational inverted pendulum; sliding observer; state estimation; state estimators; Aerospace engineering; Aerospace testing; Control systems; DC motors; Ear; Gaussian noise; Observers; State estimation; System testing; Torque control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-2685-7
  • Type

    conf

  • DOI
    10.1109/CDC.1995.479011
  • Filename
    479011