This paper presents a simple modal identification algorithm in a universally valid way for all cardan hollow shaft traction drive-trains and other multi-inertia systems. It identifies a suitable three-inertia model from branched and unbranched multi-inertia traction drive-trains. Adaption due to the wheelset wear is guaranteed by using optimal approximated mode shapes as convergence criterium. These are only calculated once at the design stage of the traction drive-train series. So every type of traction drivetrain has its own signature - the optimal approximated mode shape. This ingenious procedure reduces subsequent additional calculation effort for real-time operation by optimizing the computation time of the proposed algorithm. Further, due to the application of the optimal approximated mode shapes only the simple identifiable part of frequency response has to be determined. The final results are the parameters of an optimal modal approximation based three-inertia model, which is the basis for every control concept concerning the traction drive-train.


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    Title :

    Adaptive reduced modal model identification for arbitrarily branched multi-inertia traction drive-trains


    Additional title:

    Adaptive reduzierte modale Modellidentifikation für beliebig verzweigte, verschleißmindernde Kraftschlussregelung


    Contributors:


    Publication date :

    2004


    Size :

    6 Seiten, 6 Bilder, 11 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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