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基于非线性拟合的汽车动态称重数据处理新方法
引用本文:周志峰,蔡萍,陈日兴,黎志刚.基于非线性拟合的汽车动态称重数据处理新方法[J].上海交通大学学报,2006,40(5):709-712.
作者姓名:周志峰  蔡萍  陈日兴  黎志刚
作者单位:1. 上海交通大学,信息检测技术与仪器系,上海,200240
2. 上海大和衡器有限公司,上海,201201
摘    要:针对影响汽车动态称重精度的低频动态载荷问题,提出了基于非线性拟合的数据处理新方法.根据称重信号的特点,以Levenberg-Marquardt算法为基础,进行了去除低频动态载荷的仿真试验和实际信号试验.结果表明,该方法可以有效地降低低频动态载荷对称重精度的影响,车速小于14.5 km/h时的最大相对误差为3.46%.

关 键 词:动态称重  非线性拟合  动态数据处理
文章编号:1006-2467(2006)05-0709-04
收稿时间:2005-05-25
修稿时间:2005年5月25日

A New Method of Processing Data of Weigh-in-Motion of Vehicles Based on Nonlinear Curve-Fitting
ZHOU Zhi-feng,CAI Ping,CHEN Ri-xing,LI Zhi-gang.A New Method of Processing Data of Weigh-in-Motion of Vehicles Based on Nonlinear Curve-Fitting[J].Journal of Shanghai Jiaotong University,2006,40(5):709-712.
Authors:ZHOU Zhi-feng  CAI Ping  CHEN Ri-xing  LI Zhi-gang
Abstract:The low frequency dynamic loads are the most important factors which affect measure accuracy of axle loads of running vehicles.It is difficult to separate the low frequency dynamic loads from useful signals.This paper presented a new method of processing data based on nonlinear curve-fitting.According to the features of weigh-in-motion of vehicles,a digital simulation and real experiments were carried out using Levenberg-Marquardt algorithm.The result shows that the method of nonlinear curve-fitting is effective and the max relative error is 3.46% at speed less than 14.5 km/h.
Keywords:weigh-in-motion(WIM)  nonlinear curve-fitting  dynamic data processing
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