Active engine mounts provide an effective solution to further improve the acoustic and vibrational comfort of passenger cars. The most common strategies to control active engine mounts are adaptive feedforward algorithms such as the filtered-x least-mean-squares (FXLMS) algorithm due to its computational simplicity and ease of implementation. However, such algorithm needs a significant convergence time until full cancellation of the disturbing engine vibration is achieved. This becomes a disadvantage in applications such as cylinder-on-demand (COD) engines, where cylinders and active engine mounts are frequently switched on and off. After briefly introducing a computationally efficient variant of the Narrowband-FXLMS algorithm, this paper proposes a new method to overcome this drawback. The adaptive feedforward algorithm is extended with a look-up table which uses additional engine information to adapt its values to the vibrational behavior of the engine. Since the look-up table is trained online, it is capable to track changes and no prior parameterization is necessary. Finally the new method is experimentally validated in a vehicle with a V8-COD-engine where a significant reduction of the convergence time is observed.


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    Title :

    Improving the convergence behavior of active engine mounts in vehicles with cylinder-on-demand engines


    Contributors:


    Publication date :

    2014


    Size :

    9 Seiten, Bilder, 11 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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