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

Authors: Peyman Naderi; Sahar M. Sharouni

Addresses: Shahid Rajaee Teacher Training University, Tehran, Iran ' Science and Research Branch, Islamic Azad University, Borujerd, Iran

Abstract: 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.

Keywords: intelligent braking systems; vehicle braking; vehicle stability; fuzzy logic control; FLC; fuzzy control; controller design; anti-slip control; hybrid control; sliding mode control; SMC; SUGINO form; neuro-fuzzy estimation; neural networks; vehicle path prediction; vehicle speed; steering angle; yaw angle; braking torque; chassis modelling; tyre modelling; simulation; vehicle safety.

DOI: 10.1504/IJVS.2013.056971

International Journal of Vehicle Safety, 2013 Vol.6 No.4, pp.381 - 398

Received: 27 Nov 2012
Accepted: 15 Apr 2013
Published online: 16 Oct 2014 *

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