• DocumentCode
    3304150
  • Title

    Robust adaptive sliding mode controller for triaxial gyroscope

  • Author

    Fei, J. ; Chowdhury, F.

  • Author_Institution
    Coll. of Comput. & Inf. Eng., Hohai Univ., Changzhou, China
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    5574
  • Lastpage
    5579
  • Abstract
    This paper presents an adaptive variable structure controller with on-line identification of the upper bounds of uncertainties and disturbance for MEMS triaxial angular sensors device that is able to detect rotation in three orthogonal axes, using a single vibrating mass. An adaptive robust sliding mode controller is developed and the stability of the closed-loop system can be guaranteed with the proposed adaptive robust sliding mode control strategy. The on-line identification of the upper bounds of uncertainties and disturbance can be incorporated into sliding mode controller to alleviate the chartering. The proposed adaptive sliding mode controller updates estimates of all stiffness, damping errors, and input rotation parameters, upper bound of uncertainties and disturbance in real time, removing the need for any offline calibration stages. The numerical simulation for MEMS gyroscope triaxial angular sensor is investigated to verify the effectiveness of the proposed adaptive robust sliding mode control scheme.
  • Keywords
    adaptive control; closed loop systems; gyroscopes; micromechanical devices; robust control; sensors; variable structure systems; MEMS triaxial angular sensors device; adaptive variable structure controller; closed-loop system; robust adaptive sliding mode controller; triaxial gyroscope; Adaptive control; Gyroscopes; Micromechanical devices; Programmable control; Robust control; Robust stability; Sliding mode control; Uncertainty; Upper bound; Weight control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5400104
  • Filename
    5400104