高速铁路接触网研究进展

接触网与受电弓之间动态性能是影响列车运行的重要因素之一,高速铁路中接触网的不良状态直接影响牵引供电系统对动车组的供电安全.论文系统地讨论了高速铁路接触网研究的4个方面,即接触网的初始平衡态求解、接触网动力学建模、接触网非接触检测和接触网静态动态评估,并给出了目前高速铁路接触网研究的最新进展:针对接触网的初始平衡态求解精度不高的问题,通过引入多目标约束的结构找形方法和非线性有限元过程进行求解;在接触网动力学建模方面,考虑环境风对接触网影响的问题,通过环境风模拟和风洞实验获得气动力系数,建立沿线风场进行接触网风振特性分析;对于接触网非接触检测算法的精度不高问题,基于深度学习理论的检测技术和实时图像检测算法是今后发展方向;针对目前接触网动态评估方法缺乏的问题,现代谱估计、时频分析和大数据技术及其融合将是今后接触网评估的重要手段. 

Advances of Research on High-speed Railway Catenary

Dynamic interaction between the catenary and the pantograph is one of the most crucial factors that affect the train operation in high-speed railways. The adverse state of catenary directly influences the power supply safety of traction power system. In this work, four aspects in the research of high-speed railway catenary system were reviewed in detail, namely, the solution methods for the initial equilibrium state of catenary, the dynamic modelling, non-contact detection, and the static and dynamic evaluation. In addition, their recent advances were presented. To deal with the low solution accuracy of the initial equilibrium state of catenary, both the structure finding method with multi-objective constraints and nonlinear finite element procedure were introduced. For the catenary's dynamic modelling, the influence of environmental wind on the catenary was taken into account; based on the environmental wind simulation and wind tunnel test, the aerodynamic coefficients were obtained and the wind field along the catenary was built to analyze wind vibration characteristics of catenary. In order to improve the accuracy of non-contact detection for the catenary, the deep learning theory and real-time detection algorithms can be utilized in future. As for the lack of dynamic evaluation method for the catenary, the modern spectrum estimation, time-frequency analysis, big data technology and their combinations will be the important means for future catenary evaluation.