This paper presents a hybrid state-space self-tuning design methodology using dual-rate sampling for suboptimal digital adaptive control of attitude and momentum management for the Space Station. This new hybrid adaptive control scheme combines an on-line recursive estimation algorithm for indirectly identifying the parameters of a continuous-time system from the available fast-rate sampled data of the inputs and states and a controller synthesis algorithm for indirectly finding the slow-rate suboptimal digital controller from the designed optimal analog controller. The proposed method enables the development of digitally implementable control algorithms for the robust control of Space Station Freedom with unknown environmental disturbances and slowly time-varying dynamics.


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    Title :

    Self-tuning control of attitude and momentum management for the Space Station


    Contributors:
    Shieh, L. S. (author) / Sunkel, J. W. (author) / Yuan, Z. Z. (author) / Zhao, X. M. (author)


    Publication date :

    1992-02-01



    Type of media :

    Miscellaneous


    Type of material :

    No indication


    Language :

    English




    Self-tuning control of attitude and momentum management for the Space Station

    SHIEH, L. S. / SUNKEL, J. W. / YUAN, Z. Z. et al. | AIAA | 1992


    Space Station attitude control momentum requirements

    ROBERTSON, BRENT / HECK, MICHAEL | AIAA | 1988




    Momentum management and attitude control design for a Space Station

    WOO, HENRY H. / MORGAN, HENLEY D. / FALANGAS, ERIC T. | AIAA | 1988