中低速磁浮列车悬浮性能测试系统研究

杨勇1杨以霖2

Research on Mediumlow Speed Maglev Train Levitation Performance Testing System

YANG YongYANG Yilin
摘要:
目的:当前,根据悬浮控制器上传的数据开展的中低速磁浮列车悬浮系统性能评估实时性不够,为了达到中低速磁浮列车的悬浮性能评估的实时性,开展中低速磁浮列车性能测试系统的研制工作。方法:研制工作分为硬件研制和软件设计两部分进行。硬件部分采用高速A/D(模拟/数字)转换芯片采集多路传感器数据,并通过FPGA(现场可编程门阵列)灵活配置采样频率采集数据,采用卡尔曼滤波方法对采样数据进行滤波处理,同时内嵌一个Wifi模块,将FPGA采集处理的数据高速打包上发到软件部分,以满足实时性要求。软件部分采用Labview平台开发,软件平台实时接收WiFi模块上传的传感数据,并将这些数据标定与滤波,计算出各类原始传感数据,最终在界面中显示各悬浮性能指标曲线。结果及结论:试验测试结果表明,研制的中低速磁浮列车测试系统能实时地对悬浮系统性能开展评估,满足中低速磁浮系统的需求。
Abstracts:
Objective: The realtime performance evaluation of MLM (mediumlow speed maglev) train levitation system based on the data uploaded by levitation controller is not timely enough. To achieve the realtime evaluation of MLM train levitation performance, the development and research work of a MLM train performance testing system is carried out.Method: The development and research work is divided into two parts: hardware development and software design. The hardware part uses a highspeed A/D (analog/digital) conversion chip to collect data from multiroute sensors, and the data is flexibly configured and collected at a sampling frequency through a FPGA (fieldprogrammable gate array). The Kalman filtering method is used to filter the sampled data, and a Wifi module is embedded to perform highspeed packaging and sending of the data collected and processed by FPGA to the software part, so as to meet the timeliness requirements. The software part is developed on the Labview platform, which receives the sensor data uploaded by the Wifi module in realtime, calibrates and filters the data, calculates various types of original sensor data, and finally displays the levitation performance index curves in the interface.Result and Conclusion: The testing results show that the developed MLM train testing system can carry out realtime evaluation of the levitation system performance timely and meet the requirements of MLM system.
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