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高速列车牵引传动系统故障测试与验证仿真平台研究

杨超 彭涛 阳春华 陈志文 桂卫华

杨超, 彭涛, 阳春华, 陈志文, 桂卫华. 高速列车牵引传动系统故障测试与验证仿真平台研究. 自动化学报, 2019, 45(12): 2218−2232 doi: 10.16383/j.aas.c190395
引用本文: 杨超, 彭涛, 阳春华, 陈志文, 桂卫华. 高速列车牵引传动系统故障测试与验证仿真平台研究. 自动化学报, 2019, 45(12): 2218−2232 doi: 10.16383/j.aas.c190395
Yang Chao, Peng Tao, Yang Chun-Hua, Chen Zhi-Wen, Gui Wei-Hua. Fault testing and validation simulation platform for traction drive system of high-speed trains. Acta Automatica Sinica, 2019, 45(12): 2218−2232 doi: 10.16383/j.aas.c190395
Citation: Yang Chao, Peng Tao, Yang Chun-Hua, Chen Zhi-Wen, Gui Wei-Hua. Fault testing and validation simulation platform for traction drive system of high-speed trains. Acta Automatica Sinica, 2019, 45(12): 2218−2232 doi: 10.16383/j.aas.c190395

高速列车牵引传动系统故障测试与验证仿真平台研究

doi: 10.16383/j.aas.c190395
基金项目: 国家自然科学基金(61490702, 61773407, 61621062, 61803390), 轨道交通节能控制与安全监测湖南省重点实验室(2017TP1002), 湖南省研究生科研创新项目(CX2018B041)资助
详细信息
    作者简介:

    杨超:中南大学自动化学院博士研究生. 2017年获得中南大学控制学科硕士学位. 主要研究方向为高速列车故障诊断与测试仿真技术. E-mail: chaoyang@csu.edu.cn

    彭涛:中南大学自动化学院教授. 2005年获得中南大学博士学位. 主要研究方向为复杂系统的故障注入、诊断与容错控制. E-mail: pandtao@csu.edu.cn

    阳春华:中南大学自动化学院教授. 国家杰出青年基金获得者. 2002年获得中南大学博士学位. 主要研究方向为复杂工业过程建模与优化, 故障诊断和智能系统. 本文通信作者. E-mail: ychh@csu.edu.cn

    陈志文:中南大学自动化学院副教授. 2016年获得德国杜伊斯堡 − 埃森大学博士学位. 主要研究方向为基 于模型和数据驱动的故障诊断技术. E-mail: zhiwen.chen@csu.edu.cn

    桂卫华:中国工程院院士, 中南大学自动化学院教授. 1981年获得中南矿冶学 院硕士学位. 主要研究方向为复杂工业过程建模, 优化与控制应用, 故障诊断与分布式鲁棒控制. E-mail: gwh@csu.edu.cn

Fault Testing and Validation Simulation Platform for Traction Drive System of High-speed Trains

Funds: Supported by National Natural Science Foundation of China (61490702, 61773407, 61621062, 61803390), Key Laboratory of Energy Saving Control and Safety Monitoring for Rail Transportation (2017TP1002), and Hunan Provincial Innovation Foundation for Postgraduate (CX2018B041)
  • 摘要: 牵引传动系统作为高速列车能量传递与转换的核心部分, 是保障高铁安全稳定运行的关键系统之一. 故障测试与验证平台是确保实时故障诊断技术在高速列车上有效应用的重要手段和途径. 围绕高速列车牵引传动系统故障测试与验证平台中面临的挑战性问题和关键技术, 本文从故障注入、仿真可信度评估、算法性能评估和仿真平台实现等方法和技术方面进行分析, 并针对上述难题概述了一些解决方案, 提出并构建了一种集高速列车实时仿真、故障运行行为逼真模拟以及随机故障测试和故障诊断算法评估于一体的牵引传动系统故障测试与验证实时仿真平台. 最后, 总结展望了高速列车安全监测验证平台未来研究方向.
  • 图  1  牵引传动系统示意图

    Fig.  1  Diagram of traction drive system

    图  2  高速列车牵引传动系统分层示意图

    Fig.  2  Hierarchy of traction drive systems of high-speed train

    图  3  高速列车信息控制系统故障测试实时仿真系统架构

    Fig.  3  Real-time simulation system architecture for the fault testing and verification of information control system in high-speed train

    图  4  基于HLA-RTI的高速列车信息控制系统故障测试与验证实时仿真结构

    Fig.  4  HLA-RTI-based real-time simulation architecture the fault testing and verification of information control system in high-speed train

    图  5  基于信号与模型混合的故障注入器示意图[69]

    Fig.  5  Diagram of mixed signal and model-based fault injector[69]

    图  6  仿真平台解算资源分配示意图[29]

    Fig.  6  Diagram of the resource distribution in simulation platform[29]

    图  7  某类故障注入下实时仿真模型解算的时序规划[29]

    Fig.  7  Timing planning of real-time simulation model solution under a fault condition[29]

    图  8  基于HIL的牵引传动系统故障测试与验证半实物仿真平台[78]

    Fig.  8  HIL-based fault testing and validation simulation platform for traction drive system[78]

    图  9  牵引传动系统故障测试软件的用户界面

    Fig.  9  The user interface of fault testing software of traction drive system

    表  1  平台实现方式的对比

    Table  1  Comparison of platform implementation schemes

    实现
    方式
    实验
    成本
    测试数据
    可信度
    模拟故障
    危险性
    测试
    周期
    平台实现
    难易
    实物
    虚拟
    半实物
    下载: 导出CSV

    表  2  现有具备故障模拟功能的高速列车验证平台对比

    Table  2  Comparison of the existing high-speed train verification platform with fault simulation injection

    实现方式可控性故障场景的覆盖面实时性
    实物手动为主,
    可控性差
    硬件故障为主满足算法实时性测试
    虚拟自动操作,
    可控性高
    故障类型限制小不满足算法实时性测试
    半实物自动操作,
    可控性高
    个别元部件、简单故障,
    难以模拟复杂故障场景
    基本满足算法实时性测试
    下载: 导出CSV

    表  3  实时仿真器不同处理器芯片的对比

    Table  3  Comparison of different processor chips in real-time simulator

    芯片运算
    方式
    运算
    频率
    平均耗时
    范围
    运算负载
    影响
    单价不足
    DSP串行GHz毫秒-
    微秒级
    模型平均解算速度
    慢, 且与模型解算
    规模成反比
    FPGA并行MHz纳秒级资源有限,
    时序受约束
    下载: 导出CSV

    表  4  三级故障测试性能评估指标

    Table  4  Three-level-based performance evaluation index for fault testing

    综合性能指标关键性能指标基本性能指标
    综合性能指标可维修性指标群平均检测延迟
    灵敏度
    检测可用性指标群检测率
    误检率
    漏检率
    诊断可靠性指标群故障位置辨识率
    故障类型辨识率
    故障参数辨识率
    下载: 导出CSV
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  • 收稿日期:  2019-05-20
  • 录用日期:  2019-09-20
  • 刊出日期:  2019-12-01

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