• DocumentCode
    3308547
  • Title

    Attitude estimation with gyros-bias compensation using low-cost sensors

  • Author

    El Hadri, A. ; Benallegue, A.

  • Author_Institution
    Lab. of Syst. Eng. (LISV), Versailles Univ., Velizy, France
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    8077
  • Lastpage
    8082
  • Abstract
    We present in this paper a new algorithm for attitude and gyro-bias estimation of a rigid body in rotation in space using low-cost sensors. The algorithm is based on sliding mode nonlinear observer that provides in the same time estimates of the gyro-bias and the actual attitude of the rigid body. This algorithm was developed in order to address the well-known problem of the weak dynamics of the attitude sensors (inclinometers), which can be modeled by low pass filters, and of the measurement bias of the gyros. In its design the observer uses biased gyro measurement and attitude measurements, provided by the low-cost sensors. The stability of the observer was proven using Lyapunov stability method. The effectiveness of the algorithm has been shown from experimental tests using a rotary platform equipped with several sensors with axes of rotation coincide with orientation of the rigid body.
  • Keywords
    Lyapunov methods; attitude control; attitude measurement; compensation; gyroscopes; low-pass filters; nonlinear systems; observers; variable structure systems; Lyapunov stability method; attitude estimation; attitude measurements; biased gyro measurement; gyro bias estimation; low cost sensors; low pass filters; sliding mode nonlinear observer; Accelerometers; Bandwidth; Frequency estimation; Legged locomotion; Low pass filters; Magnetic sensors; Magnetometers; Robot control; Robot sensing systems; Unmanned aerial vehicles;
  • 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.2009.5400357
  • Filename
    5400357