Station-keeping is a difficult flight control mode for helicopters since they have little forward speed and are dynamically unstable in that mode. In this paper, the designs for a fuzzy-logic controller and neural-network (NN) controllers which are used to provide acceptable station-keeping performance for a single-main-rotor helicopter are presented. The effectiveness of the proposed designs is established from an examination of a number of results obtained from a simulation of the controlled helicopter. The required training and recall data needed for the NN were obtained from the responses of the same helicopter type being controlled in a station-keeping mode by a continuous, linear, optimal feedback control law, obtained by solving a linear quadratic regulator (LQR) problem.


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    Title :

    Helicopter station-keeping: comparing LQR, fuzzy-logic and neural-net controllers


    Contributors:
    McLean, D. (author) / Matsuda, H. (author)


    Publication date :

    1998


    Size :

    8 Seiten, 10 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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