An adaptive switching FxLMS algorithm is proposed to deal with the problem that the performance of the active control system of interior noise drops sharply when come across road impact. According to the state of the system, the algorithm updates the weight coefficient of the control filter in two different ways. Firstly, the normalization algorithm is adopted to improve the convergence speed. After convergence, the relationship between iteration step size and residual error is established by using deformed Gaussian function. The adverse effects of road impact will be dealt with by a new iteration step. On the premise of increasing a small amount of calculation, it improves the convergence speed of the system and ensures the steady-state performance of the system. Numerical simulation and real vehicle test verify the effectiveness of the proposed algorithm in the face of road impact.


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    Titel :

    An alternative switching filtered-x LMS algorithm for road impact noise control in vehicle


    Beteiligte:
    Wang, Hucheng (Autor:in) / He, Yansong (Autor:in) / Xia, Ziheng (Autor:in) / Zhang, Zhifei (Autor:in) / Xu, Zhongming (Autor:in)


    Erscheinungsdatum :

    01.07.2024




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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