摘要
针对现有司机操纵策略难以完整描述列车大功率操纵过程的微观变化,设计机理特性和数据驱动模型联合驱动的分数阶建模策略,来满足高速列车无级调速下安全平稳运行的要求。针对高速列车大功率操纵模式下的大惯性特性和司机反应时间,该文首先对大功率牵引系统和制动系统的时滞特性进行分析,进而对列车操纵策略设计精简冗余工序编码策略,从闭环控制角度实现速度时滞特性精准预测;其次提出了一种新的分数阶建模方法,并设计分数阶最小二乘算法对模型中的时变参数进行精细化辨识;最后基于现场实验数据验证了所提方法的有效性。
The high-power control process of high-speed trains is a complex dynamic system.As the speed of high-speed trains increases,the interactive dynamics among the vehicle,wheel,rail,and grid become frequent.Traditional modeling methods ignore these strong nonlinear differences and only give a single-speed forecasting result at a large spatial scale.It is insufficient to fully describe the micro-changes in the train high-power control process.Recently,some methods have been presented to forecast the time-delay characteristics of high-speed trains.However,most need to consider the common structural characteristics shared by the mechanism and the data-driven models.This paper proposes a fractional modeling strategy to meet the requirements of safe and stable operation of high-speed trains under step-less speed regulation.By learning the optimal control strategy from historical speed and power data,the local train speed for multiple operation scenarios can be forecasted accurately.Firstly,the time-delay characteristics of high-power traction and braking systems are analyzed based on the features of large inertia and driver reaction time.Secondly,a simplified and redundant process coding strategy for train control strategy is constructed to accurately predict speed time-delay characteristics from the perspective of closed-loop control.Then,a new fractional-order modeling method is proposed,and the fractional-order least squares algorithm is designed to identify the time-varying parameters in the model.Simulation results on the actual high-speed train operation data show that the V-S(velocity-distance)curve based on the manual control strategy has unstable fluctuations.The control accuracy is 13.1%,which is difficult to meet the multi-objective control range of 8%of the high-speed train automatic driving control strategy,increasing energy consumption and reducing ride comfort.On the other hand,the proposed fractional-order control strategy can effectively reduce the wide range of speed fluctuations.Compared with the benchm
作者
张坤鹏
严斐
杨辉
刘鸿恩
安春兰
Zhang Kunpeng;Yan Fei;Yang Hui;Liu Hongen;An Chunlan(School of Electrical and Automation Engineering East China Jiaotong University Nanchang 330013,China;Jiangxi Provincial Key Laboratory of Advanced Control and Optimization Nanchang 330013,China;State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure Nanchang 330013,China;Institute of Permanent Magnetic Levitation Technology and Rail Transportation Jiangxi University of Science and Technology Ganzhou 341000,China)
出处
《电工技术学报》
EI
CSCD
北大核心
2024年第14期4557-4566,共10页
Transactions of China Electrotechnical Society
基金
国家自然科学基金项目(U2034211,62063007)
江西省自然科学基金项目(20224BAB212021,20232BAB202029)
江西省教育厅项目(GJJ200610,GJJ210647)
流程工业综合自动化国家重点实验室联合开放基金项目(2022-KF-21-03)资助。
关键词
高速列车
大功率操纵过程
数据驱动
时滞
分数阶最小二乘模型
High-speed train
high power control process
data-driven
time delay
fractional-order least squares algorithm
