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基于神经网络的附着系数测算模型研究
引用本文:王艳芳,师帅兵,黄胜. 基于神经网络的附着系数测算模型研究[J]. 拖拉机与农用运输车, 2011, 38(2): 36-38,40
作者姓名:王艳芳  师帅兵  黄胜
作者单位:西北农林科技大学机械与电子工程学院,陕西杨凌,712100
摘    要:路面附着系数是车辆安全行驶的重要因素。我们采用神经网络方法,建立了以轮胎纵向力、侧向力、垂直载荷、侧偏角、滑移率为输入向量,以路面附着系数为目标输出的路面附着系数测算模型。通过MATLAB仿真得出附着系数神经网络模型测算值,进而将其与附着系数样本值进行对比,结果表明,该附着系数测算模型的精度能够满足工程要求,为测算轮胎与路面间的附着系数提供了参考依据。

关 键 词:神经网络  附着系数  测算模型

Research on Calculating Model of Adhesion Coefficient Based on Neural Networks
WANG Yan-fang,SHI Shuai-bing,HUANG Sheng. Research on Calculating Model of Adhesion Coefficient Based on Neural Networks[J]. Tractor & Farm Transporter, 2011, 38(2): 36-38,40
Authors:WANG Yan-fang  SHI Shuai-bing  HUANG Sheng
Affiliation:WANG Yan-fang,SHI Shuai-bing,HUANG Sheng(College of Mechanical and Electronic Engineering,Northwest A&F University,Yangling 712100,China)
Abstract:Based on neural networks,this paper established the model of adhesion coefficient by using longitudinal force,tire side force,vertical load,side slip angle and sliding rate as input and tire-road friction coefficient as output.Comparing the samples and the value of adhesion coefficient which were calculated by using MATLAB to simulate the model,the results showed that the precision of the model can satisfy the engineering requirement.And this research can provide a reference basis for calculation of tire-ro...
Keywords:Neural networks  Adhesion coefficient  Calculating model  
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