高速列车牵引传动系统故障测试与验证仿真平台研究  

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

作　　者：杨超[1,2] 彭涛 阳春华[1,2] 陈志文 桂卫华[1] YANG Chao;PENG Tao;YANG Chun-Hua;CHEN Zhi-Wen;GUI Wei-Hua(School of Automation,Central South University,Changsha 410083;Hunan Provincial Laboratory of Energy Saving Control and Safety Monitoring for Rail Transportation,Changsha 410083)

机构地区：[1]中南大学自动化学院,长沙410083 [2]轨道交通节能控制与安全监测湖南省重点实验室,长沙410083

出　　处：《自动化学报》2019年第12期2218-2232,共15页Acta Automatica Sinica

基　　金：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~~

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.As the power system of high-speed train,the traction drive system is one of the key systems to guarantee the safe and stable operation for high-speed train.Fault testing and verification platform is an important way to ensure the effective application of real-time fault diagnosis methods on high-speed trains.Focusing on the challenging issues in the fault testing and verification platform of the traction drive system of high-speed train,this paper analyzes the methods and technologies of fault injection,simulation reliability evaluation,algorithm performance evaluation and simulation platform implementation,and summarizes some solutions to the above problems.Moreover,this paper further proposes and builds a fault testing verification platform for high-speed train traction drive system,which integrates real-time simulation of high-speed train,realistic simulation for fault scenarios,random fault testing and fault diagnosis algorithm evaluation.Finally,the future research direction of the safety monitoring and verification platform for high-speed trains is summarized and prospected.

关 键 词：故障测试 验证平台 故障注入 测试评估 高速列车牵引传动系统 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]