An instrumented offroad motorcycle was run at a range of speeds in approximately straight lines whilst the rider excited its lateral dynamics by shaking the steering. Autoregressive models were fitted to the resulting multiple output time series data using system identification. The method allowed statistical estimation of state space models to represent the dynamics of an unstable or marginally stable vehicle under manual control. A symbolic algebra computer package was used to derive an analytical state space model to describe the lateral dynamics of the motorcycle. Results from the experiments and analysis compared well with respect to frequency, damping and modal shape of weave and wobble modes, frequency response and model order.


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    Title :

    Lateral Dynamics of an Offroad Motorcycle by System Identification


    Contributors:

    Published in:

    Publication date :

    2002-07-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Lateral dynamics of an offroad motorcycle by system identification

    James,S.R. / Univ.of South Australia,AU | Automotive engineering | 2002




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