The design of a control system using the linear-quadratic regulator (LQR) control law theory for time invariant systems in conjunction with an incremental gradient procedure is presented. The incremental gradient technique reduces the full-state feedback controller design, generated by the LQR algorithm, to a realizable design. With a realizable controller, the feedback gains are based only on the available system outputs instead of being based on the full-state outputs. The design is for a remotely piloted research vehicle (RPRV) stability augmentation system. The design includes methods for accounting for noisy measurements, discrete controls with zero-order-hold outputs, and computational delay errors. Results from simulation studies of the response of the RPRV to a step in the elevator and frequency analysis techniques are included to illustrate these abnormalities and their influence on the controller design.


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    Titel :

    Realizable Optimal Control for a Remotely Piloted Research Vehicle


    Beteiligte:
    H. J. Dunn (Autor:in)

    Erscheinungsdatum :

    1980


    Format / Umfang :

    35 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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