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

被引：2

作者：

机构：

[1] Shahid Rajaee Teacher Training University, Tehran

[2] Science and Research Branch, Islamic Azad University, Borujerd

来源：

Naderi, P. (p.naderi@srttu.edu) | 1600年 / Inderscience Enterprises Ltd., 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland卷 / 06期

关键词：

Fuzzy; Hybrid; Sliding mode; Slip; SUGINO form;

D O I：

10.1504/IJVS.2013.056971

中图分类号：

学科分类号：

摘要：

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. Copyright © 2013 Inderscience Enterprises Ltd.

引用

页码：381 / 398

页数：17

共 8 条

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