The aim of the work was to illustrate the application of fuzzy-logic techniques to the control of a continuously variable damping automotive suspension system. The study was analytical and involved the use of a multibody model of a passenger car. The model included the dominant vehicle non-linearities in the kinematic behaviour and the force characteristics, as well as realistic representations of the actuating, sensing and control systems of the variable damping system. The fuzzy-logic controller has four inputs involving both vehicle response parameters and driver inputs and one output being the selected damping rate. The compositional rule of inference was applied in the controller described, and two methods of deffuzzification were used, mean of maxima and centroid. The model and controller used in the study are described and the vehicle response results obtained from a range of road and driver input simulations are discussed. Finally, some conclusions as to the success of the control design techniques and resultant controller are drawn.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Fuzzy logic control of an automotive suspension system


    Additional title:

    Fuzzy-Logik-Regelung einer Kraftfahrzeug-Radaufhängung


    Contributors:
    Cherry, A.S. (author) / Jones, R.P. (author)

    Published in:

    Publication date :

    1995


    Size :

    12 Seiten, 14 Bilder, 6 Tabellen, 16 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Fuzzy logic control of an automotive suspension system

    Cherry, A.S. / Jones, R.P. | IET Digital Library Archive | 1995


    Fuzzy logic-based automotive airbag control system.

    Mian, Tariq Mahmood. | BASE | 2000

    Free access

    Fuzzy logic control of a novel suspension system

    Heumann, H. / Hall, B. B. / Weston, W. et al. | British Library Conference Proceedings | 1998