• DocumentCode
    3534632
  • Title

    Stability analysis and near optimal gain tuning of an attitude estimator on the special orthogonal group

  • Author

    Khosravian, Alireza

  • Author_Institution
    Res. Sch. of Eng., Australian Nat. Univ., Canberra, ACT, Australia
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    5060
  • Lastpage
    5065
  • Abstract
    In this paper, we investigate the effect of non-ideal sensor measurements on the performance of a nonlinear attitude estimator. Bounded deterministic disturbances are considered in both vector measurements and angular velocity reading. We derive conditions under which the practical stability of estimator is guaranteed and present an upper-bound for the steady state attitude estimation error. We also consider the problem of minimizing the ultimate bound of estimation error by proper choice of constant observer gains according to the properties of vector measurements. A key contribution of the paper is to propose a set of Linear Matrix Inequalities which result in the near optimal observer gains in a sense that they minimize the ultimate bound of estimation error. Meanwhile a case study, some interesting results of the optimization procedure are also discussed which provide a greater insight into the problem.
  • Keywords
    angular velocity measurement; attitude measurement; group theory; linear matrix inequalities; observers; optimisation; sensors; vectors; angular velocity reading; bounded deterministic disturbances; constant observer gains; linear matrix inequalities; near optimal gain tuning; near optimal observer gains; nonideal sensor measurements; nonlinear attitude estimator; optimization procedure; orthogonal group; stability analysis; steady state attitude estimation error; vector measurements; Estimation error; Gain measurement; Noise; Noise measurement; Observers; Optimization; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760683
  • Filename
    6760683