Detection of Brake Requests Using Neural Network and Fuzzy Control

被引：0
|
作者：
Liu Y. [1 ]
Yu F. [1 ]
Song J. [2 ]
Pang J. [2 ]
Kaku C. [2 ]
机构：
[1] School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai
[2] Shanghai Branch of Zhejiang LBN Intelligent Braking System Co., Ltd, Shanghai
来源：
Kaku, Chuyo (guozy@cnlbn.com) | 1600年 / Chinese Mechanical Engineering Society卷 / 31期
关键词：
Braking force; Fuzzy control; Neural network; Safety braking;
D O I：
10.3969/j.issn.1004-132X.2020.23.009
中图分类号：
学科分类号：
摘要：
Aiming at ensuring the brake safety of vehicles, approaches for detecting driver brake requests weres investigated by applying neural network and fuzzy control. Firstly, neural network algorithm and fuzzy control algorithm were used to complete preliminary judgment of driver's braking demands. And then, completion degree of braking actions of the braking systems was predicted by feedback signals of the master cylinder pressure. Then the recognition results of braking demands were continuously fed back to track and modify in order to ensure the braking system of vehicles to achieve expected braking efficiency. The control algorithms were compared and validated by MATLAB/Simulink simulation tests and bench tests. The results show that the method may quickly and accurately identify the driver's braking demands and provide guarantee for vehicle braking safety. © 2020, China Mechanical Engineering Magazine Office. All right reserved.
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页码：2847 / 2855
页数：8
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