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高速动车组转向架蛇行运动失稳在线检测方法研究
发表时间：2016-10-31 浏览量：2104 下载量：602
| 全部作者： | 张兵 |
| 作者单位： | 西南交通大学牵引动力国家重点实验室 |
| 摘 要： | 根据TB 10761—2013和动车组实际蛇行失稳数据，提出转向架蛇行失稳判别方法，研究采用FPGA+DSP实现高速动车组蛇行失稳算法，设计出一种高速动车组转向架蛇行运动失稳在线检测系统。检测系统包括主控制机系统和子测试系统两大部分，主控制机系统通过现场总线与多个子测试系统之间进行通信和控制操作，主控制机系统完成对失稳信息的分析工作，结合GPS模块及列车速度模块准确给出失稳发生时的时间空间信息，发出报警信号并保存故障信息；子测试系统实时监测转向架的横向振动状态，判断是否发生蛇行失稳，并通过现场总线把失稳信息的结果发送到主控制机系统。通过线路和仿真振动试验验证，检测系统能准确检测高速动车组转向架蛇行失稳运动，具有稳定性好、安装使用方便的特点。 |
| 关 键 词： | 车辆工程；蛇行失稳；FPGA；DSP；在线检测 |
| Title： | Online detection method of EMU bogie hunting and instability |
| Author： | ZHANG Bing |
| Organization： | State Key Laboratory of Traction Power, Southwest Jiao Tong University |
| Abstract： | Based on TB10761—2013 and hunting and instability data of EMU, a method for identifying hunting and instability of bogie was proposed. FPGA and DSP were used for algorithm of high-speed EMU’s hunting instability, and a real-time high speed train bogie hunting and instability monitoring system was designed. The entire system was classified into two components, the dominated control system and sub-measurement system respectively. The dominated control system communicates and controls the sub-measurement system via the CAN bus. The dominated control system is responsible for analysis of instability information, giving accurate temporal and spatial information of instability according to the combination of the GPS module and train speed module, sending alarm signals and saving fault information. The real-time lateral accelerations of bogies are monitored by sub-measurement system, which determines whether instability occurs and sends instability data to the dominated control system via the CAN bus. Through the line tests and simulation verification, the monitoring system can accurately detect the hunting and instability of the high-speed train bogie and has the advantages of stability and easy installation. |
| Key words： | vehicle engineering; hunting and instability; FPGA; DSP; real-time monitoring |
| 发表期数： | 2016年10月第20期 |
| 引用格式： | 张兵. 高速动车组转向架蛇行运动失稳在线检测方法研究[J]. 中国科技论文在线精品论文，2016，9（20）：2113-2124. |
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