基于图像处理的受电弓与轨道接触力非接触式检测方法

Hong-ming Chen, Zhou Ning, Cheng Yao, Wei-hua Zhang
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引用次数: 0

摘要

本文介绍了一种基于图像处理和卡尔曼滤波的非接触式受电弓与导轮(PAC)接触力检测方法。本文提出了一种仅利用集电头垂直位移的非接触式 PAC 接触力检测方法。首先,通过在车顶加装图像采集系统来采集集电头区域的图像。其次,结合目标跟踪和模板匹配,识别受电弓集电头的垂直位移。最后,基于卡尔曼滤波考虑最小二乘法和 PAC 动力学模型,构建了一种检测接触力的方法。仅通过图像识别获得的集电头垂直位移,即可实现 PAC 动态接触力的估算。仿真和试验结果表明,与传统卡尔曼滤波器相比,考虑最小二乘法的卡尔曼滤波器具有更高的精度和更好的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-contact detection method for pantograph-catenary contact force based on image processing
This paper introduces a non-contact method for detecting contact force between pantograph and catenary (PAC), based on image processing and Kalman filter. A non-contact method for detecting contact force of PAC, which only utilizes the vertical displacement of the collector head, is proposed. First, the images of the collector head area are collected by adding an image acquisition system on the roof of the vehicle. Second, combined with target tracking and template matching, the vertical displacement of the pantograph’s collector head is identified. Finally, based on the Kalman filter considering least squares method and the PAC dynamics model, a method for detecting contact force is constructed. The estimation of the PAC’s dynamic contact force is realized only by using the vertical displacement of the collector head obtained from the image identification. The results of simulation and test-bed results show that the Kalman filter considering least squares significantly has higher accuracy and better robustness compared with the traditional Kalman filter.
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