Conventional aircraft generally employ mixing algorithms or lookup tables to determine control surface deflections needed to achieve moments commanded by the flight control system. Control allocation is the problem of converting desired moments into control effector commands. Next generation aircraft may have many multipurpose, redundant control surfaces, adding considerable complexity to the control allocation problem. These issues can be addressed with optimal control allocation. Most optimal control allocation algorithms have control surface position and rate constraints. However, these constraints are insufficient to ensure that the aircraft's structural load limits will not be exceeded by commanded surface deflections. In this paper, a framework is proposed to enable a flight control system with optimal control allocation to incorporate real-time structural load feedback and structural load constraints. A proof of concept simulation that demonstrates the framework in a simulation of a generic transport aircraft is presented.


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    Titel :

    A Framework for Optimal Control Allocation with Structural Load Constraints


    Beteiligte:
    Frost, Susan A. (Autor:in) / Taylor, Brian R. (Autor:in) / Jutte, Christine V. (Autor:in) / Burken, John J. (Autor:in) / Trinh, Khanh V. (Autor:in) / Bodson, Marc (Autor:in)

    Kongress:

    AIAA Atmospheric Flight Mechanics Conference ; 2010 ; Toronto, Ontario, Canada


    Erscheinungsdatum :

    2010-08-02


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch




    A Framework for Optimal Control Allocation with Structural Load Constraints

    Frost, S. / Taylor, B. / Jutte, C. et al. | British Library Conference Proceedings | 2010


    A Framework for Optimal Control Allocation with Structural Load Constraints

    Frost, Susan / Taylor, Brian / Jutte, Christine et al. | AIAA | 2010


    Flight Control with Optimal Control Allocation Incorporating Structural Load Feedback

    Frost, Susan A. / Bodson, Marc / Burken, John J. et al. | AIAA | 2015