A dynamic control system design has been a great demand in the control engineering community, with many applications particularly in the field of flight control. This paper presents investigations into the development of a dynamic nonlinear inverse-model based control of a twin rotor multi-input multi-output system (TRMS). The TRMS is an aerodynamic test rig representing the control challenges of modern air vehicle. A model inversion control with the developed adaptive model is applied to the system. An adaptive neuro-fuzzy inference system (ANFIS) is augmented with the control system to improve the control response. To demonstrate the applicability of the methods, a simulated hovering motion of the TRMS, derived from experimental data is considered in order to evaluate the tracking properties and robustness capacities of the inverse- model control technique.


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    Titel :

    Dynamic nonlinear inverse-model based control of a twin rotor system using adaptive neuro-fuzzy inference system


    Beteiligte:
    Toha, S.F. (Autor:in) / Tokhi, M.O. (Autor:in)


    Erscheinungsdatum :

    2009


    Format / Umfang :

    5 Seiten, 14 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch