As a shuttle approaches the Space Station Freedom for a rendezvous, the shuttle's reaction control jet firings pose a risk of excessive plume impingement loads on Freedom solar arrays. The current solution to this problem, in which the arrays are locked in a feathered position prior to the approach, may be neither accurate nor robust, and is also expensive. An alternative solution is proposed here: the active control of Freedom's beta gimbals during the approach, positioning the arrays dynamically in such a way that they remain feathered relative to the shuttle jet most likely to cause an impingement load. An artificial neural network is proposed as a means of determining the gimbal angles that would drive plume angle of attack to zero. Such a network would be both accurate and robust, and could be less expensive to implement than the current solution. A network was trained via backpropagation, and results, which compare favorably to the current solution as well as to some other alternatives, are presented. Other training options are currently being evaluated.


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    Titel :

    Neural Network for Positioning Space Station Solar Arrays


    Beteiligte:
    Graham, Ronald E. (Autor:in) / Lin, Paul P. (Autor:in)

    Kongress:

    Symposium on Automatic Control in Aerospace ; 1994 ; Palo Alto, CA, United States


    Erscheinungsdatum :

    01.06.1994


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch


    Schlagwörter :



    Neural Network for Positioning Space Station Solar Arrays

    Graham, R. E. / Lin, P. P. / International Federation of Automatic Control | British Library Conference Proceedings | 1995


    Solar arrays for space station and platforms

    Elms, R.V. | Tema Archiv | 1986