Vehicle height adjustment is one of the main features of automotive air suspension system, which plays a significant role to improve driving stability and fuel economy of the vehicle. However, direct open-loop control can’t achieve the vehicle height control with high precision for undesirable phenomenon of over-charge and over-discharge of the air spring. Therefore, a fuzzy neural network approach was proposed in this paper for designing the vehicle height controller. According to the operational principle of the vehicle height adjustment process, the system mathematical model was established based on vehicle system dynamics and variable mass charge/discharge gas system thermodynamic theory. Then, the fuzzy neural network control laws were designed based on the nonlinear model to maximize the control accuracy. Finally, the effectiveness and applicability of the proposed control algorithm are verified by simulation results.


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    Titel :

    Vehicle Height Control of Automotive Air Suspension System Using Fuzzy Neural Network Approach


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    12.01.2015


    Format / Umfang :

    4 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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