Analysis of the robustness of active suspension systems was carried out with regards to the ride and handling performance of road vehicles. Vehicle parameter variations were taken into account in the modelling. The algorithms were aimed at getting better stability and performance robustness through controller adaptation to parameter uncertainties. The robustness analysis was based on a quarter vehicle model with parameter uncertainties. The results have shown that the Hinfinity controller is the best in terms of stability and performance robustness. The best achieved Hinfinity norm is as low as 0.08, which meets the nominal performance objective value less than one. Loop-at-a-time robustness measures showed that both Hinfinity and H2 controllers have much better margins than that of the equivalent passive system. The performance robustness is measured by structured singular value mu-analysis. Generally speaking, the performance robustness is better if the mu value is smaller. The maximum mu value for the Hinfinity-based suspension system is only 0.18, which is much lower than that of the H2-based and passive systems. The effects of variation in vehicle parameters were simulated in frequency and time domains. The results have shown that Hinfinity-based suspension control is the best approach with regards to body acceleration, dynamic tyre deflection and suspension deflection, whereas H2-based suspension control is better than the conventional passive suspension. Despite the encouraging results shown in this work, there are still several aspects requiring further investigations. The comparison of the system performances need to be extended to the study on controller sensitivity to the parameter uncertainties under various operating conditions, and on the differences between controllers on system performance, design, complexity and cost.


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    Title :

    Parametric uncertainty analysis of vehicle suspensions


    Additional title:

    Parametrische Unbestimmtheitsanalyse der Fahrzeugfederung


    Contributors:
    Ma, Fangwu (author) / Men, Yongxin (author) / Du, Zixue (author)

    Published in:

    Publication date :

    2008


    Size :

    16 Seiten, 11 Bilder, 11 Quellen



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English