张惠芳,张海宁.动态车辆称重系统的算法研究[J].国外电子测量技术,2017,36(7):52-54
动态车辆称重系统的算法研究
Research on the algorithm of dynamic vehicle weighing system
  
DOI:
中文关键词:  动态称重  数据处理  动态载荷  优化算法
英文关键词:weigh in motion  data processing  dynamic load  optimization algorithm
基金项目:
作者单位
张惠芳 西安工业大学电子信息工程学院 西安 710021 
张海宁 西安工业大学电子信息工程学院 西安 710021 
AuthorInstitution
Zhang Huifang College of Electronic and Information Engineering, Xi’an Technological University, Xi’an 710021, China 
Zhang Haining College of Electronic and Information Engineering, Xi’an Technological University, Xi’an 710021, China 
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中文摘要:
      汽车动态称重系统的算法研究是动态称重系统研究中的难点。为了提高动态称重系统的测量精度,对传感器在车辆非停车状态下所得短历程信号进行分析,利用巴特沃斯低通滤波器滤除噪声信号中的高频分量后;采用Levenberg Marquardt优化算法进行最小二乘法拟合,有效的抑制了低频周期随机干扰,实现了载荷的分离;通过载荷分离计算出车辆重量。实验表明,该算法能够提高动态称重系统的测量精度。
英文摘要:
      Research on the algorithm of dynamic weighing system has become a difficulty in the research of dynamic weighing system.In order to improve the measurement accuracy of dynamic weighing system, the short range signal of the sensor is analyzed in the condition of vehicle non stopping, and the high frequency components in the noise signal are filtered out by the Butterworth low pass filter.The Levenberg Marquardt algorithm is used to fit the least square method, which can effectively suppress the low frequency periodic random interference and realize the separation of the load.Further,the weight of the vehicle is calculated by load separation.Experiments show that the algorithm can improve the measurement accuracy of dynamic weighing system.
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