This paper examines several versions of the extended Kalman filter which can be used to estimate the position, velocity, and other key parameters associated with maneuvering reentry vehicles. These filters are discussed in terms of the fundamental problems of modeling accuracy, filter sophistication, and the real-time computational requirements. Techniques which adaptively increase the process noise to compensate for modeling errors during the maneuvers are examined. (Author)


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    On the State and Parameter Estimation for Maneuvering Reentry Vehicles


    Contributors:
    C. B. Chang (author) / R. H. Whiting (author) / M. Athans (author)

    Publication date :

    1975


    Size :

    8 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




    On the state and parameter estimation for maneuvering reentry vehicles

    Chang, C.B. / Whiting, R.H. / Athans, M. | Tema Archive | 1977


    Boost through reentry trajectory planning for maneuvering reentry vehicles

    Abrahamson, Matthew James | DSpace@MIT | 2008

    Free access

    Optimal trajectories for maneuvering reentry vehicles

    Undurti, Aditya | DSpace@MIT | 2007

    Free access

    Stabilization and control of maneuvering reentry vehicles

    Kotfila, R.P. / Osder, S.S. | Engineering Index Backfile | 1965


    Aerodynamic prediction methodology for maneuvering reentry vehicles

    HARRIS, T. / HALL, D. / MARTELLUCCI, A. | AIAA | 1980