In this paper, fuzzy logic is used to control active suspension of one-quarter car model. The main role of a car suspension system is to improve the ride comfort and to better the handling property. It usually consists of a spring and a damper to improve the properties of suspension system. The fuzzy logic method is one of the most active research and developments areas on artificial and intelligence now, particularly in the automobile industry. One quarter of car if modeled by springs, masses, dampers, force actuator, and the state space equations are derived by Lagrangian method. The ride comfort is improved by means of the reduction of the body acceleration caused by the car body when road disturbance from uneven road surfaces, pavement point etc. act on the tires of running car. Here, a logic fuzzy controller is designed in which, the number of rule bases are reduced in comparison with some traditional one that have been introduced in other papers. At the end, a comparison of active suspension fuzzy control and traditional passive suspension is shown using MATLAB simulations. Results show that, active suspension improves the ride comfort by reducing acceleration, compared with the performance of passive suspension.


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    Title :

    Using fuzzy logic to control active suspension system of one-quarter-car model


    Additional title:

    Nutzung der Fuzzy-Logik zur Regelung der aktiven Radaufhängung für ein 1/4-Fahrzeugmodell


    Contributors:


    Publication date :

    2006


    Size :

    9 Seiten, 12 Bilder, 1 Tabelle, 4 Quellen



    Type of media :

    Conference paper


    Type of material :

    Storage medium


    Language :

    English




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