Road Friction Coefficient Estimation Based on BP Neural Network
作者单位：Automotive Electronics Engineering CenterHarbin Institute of Technology Foundation and Interdisciplinary Science Research InstituteHarbin Institute of Technology
会议名称：《第36届中国控制会议》
会议届次：36
主办单位：Dalian University of Technology;Systems Engineering Society of China (SESC);Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA)
会议日期：2017年
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 082304[工学-载运工具运用工程] 08[工学] 080204[工学-车辆工程] 0835[工学-软件工程] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0823[工学-交通运输工程]
基 金：supported by National Natural Science Foundation(NNSF)of China under Grant 61304135 and U1564207
关 键 词：Road friction coefficient neural network vehicle dynamic simulation
摘 要：In the development process of automotive chassis control system,it is difficult to estimate road parameters *** on vehicle force analysis and Dugoff tire model,the method of road friction coefficient estimation using BP neural network is proposed based on the motion states in the vehicle running ***,the simulation of road friction coefficient estimation method is carried out a high precision vehicle dynamics simulation software *** results show that the algorithm can estimate road friction coefficient well.