An approach for online identification and control that requires weaker excitation than the existing approaches based on least-squares schemes and closed-loop systems is examined. It uses multiple-objective optimization theory to resolve the conflict between identification and controller performance as they compete for the only available resource, the inputs to the aircraft. The approach is applied to a longitudinal model of a representative linearized high-performance aircraft model. Simulation results compare the final controller with a conventional gain-scheduled pitch command augmentation system. It is demonstrated that by allowing some control input to be given to the identification process, the controller's overall performance is improved.<>


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    Title :

    Online identification and control of linearized aircraft dynamics


    Contributors:
    Rusnak, I. (author) / Guez, A. (author) / Bar-Kana, I. (author) / Steinberg, M. (author)


    Publication date :

    1992-07-01


    Size :

    490227 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Online identification and control of linearized aircraft dynamics

    Rusnak, I. / Guez, A. / Bar-Kana, I. et al. | Tema Archive | 1992


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