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基于轮胎/路面磨擦状况估计的轮胎故障观测器设计
引用本文:李力, 王飞跃, 单国玲, 周群植. 基于轮胎/路面磨擦状况估计的轮胎故障观测器设计. 自动化学报, 2003, 29(5): 695-702.
作者姓名:李力  王飞跃  单国玲  周群植
作者单位:1.中国科学院自动化研究所复杂系统和智能科学实验室,北京;;;2.中国山东威海三角轮胎股份有限公司,威海;;;3.美国亚利桑那大学PARCS研究中心,图森,亚利桑那州
基金项目:SupportedbytheOutstandingOverseasChineseSchoiarsFundofChineseAcademyofSciences,theNationalOutstand ingYouthResearchProgrammeofP .R .China ,andTriangleTireCorporation ,Ltd
摘    要:轮胎故障是造成交通事故的主要原因之一.但是目前大多数轮胎故障监测方法由于需要使用各种复杂的传感器因此制造代价高昂且不可靠.为此,提出了一种新型实用的轮眙故障观测器.基于考虑外界不确定干扰的新型动态轮胎/路面磨擦模型,该观测器仅仅使用汽车驱动力及轮胎转速数据,跟踪估计轮胎/路面磨擦系数的变化,并通过对磨擦状况的分析对轮胎状态做出合理的判断.由于转速传感器是汽车防滑刹车控制系统(ABS)的基本组成部分,因此该观测器可与ABS结合工作,低成本的实现轮胎故障监测.

关 键 词:轮胎/路面磨擦估计   非线性观测器   强实用稳定性   故障观测器
收稿时间:2002-11-01

Design of Tire Fault Observer Based on Estimation of Tire/Road Friction Conditions
LI Li, WANG Fei-Yue, SHAN Guo-Ling, ZHOU Qun-Zhi. Design of Tire Fault Observer Based on Estimation of Tire/Road Friction Conditions. ACTA AUTOMATICA SINICA, 2003, 29(5): 695-702.
Authors:LI Li  WANG Fei-Yue  SHAN Guo-Ling  ZHOU Qun-Zhi
Affiliation:1. Laboratory of Complex Systems and Intelligent Science,Institute of Automation,Chinese Academy of Sciences,Beijing;Triangle Tire Corporation,Ltd,WeiHai,Shandong;The program for Advanced Research in Complex Systems,The University of Arizona,Tucson,Arizona,USA
Abstract:Many tire fault monitors are designed nowadays because tire failure is proved to be one of the main causes of traffic accidents. However, most of them are of high manufacturing cost and unreliable. A new practical tire fault observer is devoted. Based on the introduced dynamic tire/road friction model that considers external disturbances, the observer estimates and tracks the changes of tire/road friction conditions using vehicle track forces and wheel angular velocity information to carry out tire fault diagnosis . Since the wheel speed sensor is a basic component of normal anti-lock brake system (ABS), the observer proposed could be easily realized in low cost within the anti-lock brake system.
Keywords:Tire/road friction estimation   nonlinear observer   strong practically stable   fault observer
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