An improved three dimensional adaptive robust guidance law is proposed for the passive homing guidance in which only line-of-sight angular rate can be measured when target maneuvered. The nonlinear control system of missile is designed according to relative motion model of missile and target, which regards coupling and target acceleration as interference. Then a sliding surface and control law is designed based on approximate parallel approaching principle and variable structure control theory. The self-learning ability of RBF neural network is used to approximate the uncertain nonlinear time-varying functions in the control law online. Finally, the network weights adaptive law is proposed according to Lyapunov theory. This method can assure the excellent adaptive ability and robustness of the system. Simulation results indicate that the guidance law is better than traditional proportional navigation and variable structure guidance law in performance.


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    Titel :

    Research on adaptive robust guidance law for passive homing missile against maneuvering target


    Beteiligte:
    Yang, Zhen (Autor:in) / Zhou, Deyun (Autor:in) / Pan, Qian (Autor:in) / Li, Xiaoyang (Autor:in) / Zhang, Kun (Autor:in)


    Erscheinungsdatum :

    01.07.2017


    Format / Umfang :

    980346 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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