In this research, a novel structure is proposed for vehicle braking stability improvement encountering critical driving conditions such as braking on slippery or µ-split surface. For these purposes, at first, a trained neuro-fuzzy estimator is used for vehicle path prediction according to vehicle speed, applied steering angle and also their changes. Then, slip of each wheel will be controlled by an anti-slip fuzzy controller which has been designed for each wheel. Also, another fuzzy controller has been designed so as to control the yaw angle concerning the yaw error. Then, the difference between the left and the right wheels' braking torques is used by the ASBS controller in order to decrease the yaw error. Considering a model of Three-Degree-of-Freedom for chassis modelling and One-Degree-of-Freedom Dugoff's tyre model for each wheel, a series of Matlab/Simulink simulation results will be presented in order to validate the effectiveness of the proposed controller.


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    Title :

    Intelligent braking system for stability enhancement of vehicle braking, using fuzzy logic controllers


    Contributors:


    Publication date :

    2013


    Size :

    18 Seiten, 18 Bilder, 4 Tabellen, 8 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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