The new approach to the computing methods of the identification, forecasting and monitoring of tire parameters is described in the paper. It is based on the application of fuzzy sets with the dynamically alterable membership functions. A multi-stage fuzzy model is proposed to estimate the tire-road contact properties with relation to the short-term and long-term fuzzy prediction of friction parameters. For this purpose, the wide spectrum of experimental data has been served including the environmental data and results from the tire test rig using methods of visual information processing. The approach described in the paper can find the proper application both in the advanced automotive control systems and in the promising systems with controllable tire contact properties. The interaction between a tire and road surface is characterized by a high degree of uncertainty that places serious computing requirements to the automotive control systems using the tire as a control object. A rational solution in such a situation is to develop the control algorithms based on fuzzy logic methods. The work discussed a new procedure to increase the robustness of fuzzy description and fuzzy control for the monitoring tire parameters. This procedure consists in the alteration of fuzzy sets during the control process. One of advantages of the proposed approach lies in the reduction of the additional correcting input parameters and subsequent rules due to the flexible variation of a form and appointed range of membership functions. The alteration procedure was considered to the task of fuzzy monitoring the tire friction coefficient. On a global scale, the three-stage cascade calculation of the friction coefficient was proposed with the use of the parameters of road texture, environment and vehicle dynamics. The validation results for the alterable fuzzy models using the virtual proving ground showed good effectiveness of this method, and they proved its ability to compensate the influence of external factors on the control process. The field of applications of the alterable fuzzy computing is not limited by the tire and can be extended to other subjects of the vehicle dynamics.


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    Title :

    Alterable fuzzy computing for monitoring tire parameters


    Contributors:


    Publication date :

    2008


    Size :

    6 Seiten, 6 Bilder, 2 Tabellen, 11 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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