For the attitude estimation problem, the quaternion is preferred to describe the rotation of spacecraft, which obeys a unit-norm constraint. However, this constraint is not considered in the most of the traditional estimation algorithms. This work will develop a new estimator named norm-constrained predictive filter to solve this problem based on the predictive filter frame. The optimization theory of Lagrange multiplier is adopted by minimizing a constrained cost function to improve the traditional predictive filter. In addition, the obtained estimator is further analyzed and applied to the spacecraft attitude estimation problem by numerical simulations.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Norm-constrained predictive filtering for attitude estimation


    Contributors:
    Cao, Lu (author) / Li, Hengnian (author)


    Publication date :

    2016-08-01


    Size :

    7 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English






    Quaternion Estimation and Norm Constrained Kalman Filtering

    Zanetti, Renato / Bishop, Robert | AIAA | 2006


    Norm-Constrained Kalman Filtering

    Zanetti, Renato / Majji, Manoranjan / Bishop, Robert H. et al. | AIAA | 2009


    Norm-Constrained Kalman Filtering

    Zanetti, R. | Online Contents | 2009