This article studies the aircraft response to a fast pull-up manoeuvre by considering a short period approximation of the longitudinal model. The model is highly nonlinear and includes parametric uncertainties. To cope with a wide range of command signals, the author proposes a robust adaptive fuzzy logic controller. The proposed controller adopts a dynamic inversion approach. As feedback linearization is in practice imperfect, robustifying and adaptive components are included in the control law to compensate for modelling errors and achieve acceptable tracking errors. Two fuzzy systems are implemented. The first system models the nominal values of the system's nonlinearity. The second system is an adaptive one that compensates for modelling errors. The derivation of the control law based on a dynamic game approach is given in detail. Stability of the closed-loop control system is also verified. Simulation results based on an F16-model illustrate a successful tracking performance of the proposed controller.


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    Title :

    Robust longitudinal aircraft control based on an adaptive fuzzy logic algorithm


    Contributors:

    Published in:

    Publication date :

    2003


    Size :

    8 Seiten, 13 Quellen



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English