基于移动闭塞的高速动车组追踪运行协同优化控制方法

With the rapid development of Chinese high-speed railway, it is difficult to meet the demand of its safety and efficiency based on the fixed block train control mode. This project chooses the high-speed EMU tracking process under the moving block mode as the research object and researches the high-speed EMU group tracking process modeling and multi vehicle collaborative optimization control method, to run the high-speed trains on time, safely, comfortably, energy-savingly and efficiently. A train track behavior comprehensive evaluation model and an optimization method for the safe distance and the tracking interval is researched, by analyzing the high-speed train track running mechanism and the "moving" and "change" characteristics of the train tracking interval under the moving block mode. The high-speed train tracking operation control model with multi-objective constraint is established, and the speed and displacement curve of the tracking process is optimized by using the multi-objective optimization and intelligent calculation theory. The tracking behavior adjustment strategy of the high-speed train and the collaborative optimization control method between two vehicles are studied. A simulation platform is established to verify and improve theoretical research results. This project has significance for high-speed trains to realize the safety and efficient operation, to improve the ride comfort, and to reduce energy consumption, whose theoretical foundations are also instrumental for the new generation of intelligent train control system with automatic train operation function.

随着中国高速铁路的快速发展，基于固定闭塞的列控模式难以满足高铁对运行安全和效率的需求。课题以移动闭塞模式下高速动车组追踪过程为研究对象，以实现高速列车安全、正点、舒适、节能、高效运行为目标，开展高速动车组追踪过程建模与多车协同优化控制方法研究。分析高速列车追踪运行机理，针对移动闭塞模式下列车追踪间隔呈现“移动”和“变化”的特征，研究列车追踪行为综合评价模型与安全距离、追踪间隔优化方法；建立高速列车追踪运行控制及多目标约束模型，运用多目标优化与智能计算理论优化追踪过程最优运行模式曲线；研究高速列车追踪行为调整策略及前后车协同优化控制方法；建立仿真实验平台，验证并完善理论研究结果。课题研究对实现高速列车安全、高效运行，改善乘坐舒适性，降低运行能耗具有重要应用价值。同时，可为具有自动驾驶功能的新一代智能化列控系统研发提供技术支撑，具有一定的理论意义和学术价值。

随着中国高速铁路的快速发展，基于固定闭塞的列控模式难以满足高铁对运行安全和效率的需求。项目以移动闭塞模式下高速动车组追踪过程为研究对象，以实现高速列车安全、正点、舒适、节能、高效运行为目标，开展了高速动车组追踪过程建模与多车协同优化控制方法研究。通过分析高速列车追踪运行机理，针对移动闭塞模式下列车追踪间隔呈现“移动”和“变化”的特征，研究了列车追踪行为综合评价模型与安全距离、追踪间隔优化方法；建立了高速列车追踪运行控制及多目标约束模型，运用多目标优化与智能计算理论优化追踪过程最优运行模式曲线；研究了高速列车追踪行为调整策略及前后车协同优化控制方法；建立仿真实验平台，验证并完善了理论研究结果。项目研究对实现高速列车安全、高效运行，改善乘坐舒适性，降低运行能耗具有重要应用价值。. 项目研究过程中，获江西省技术发明一等奖、吴文俊人工智能技术发明一等奖各1项；申请国家发明专利8项，其中4项已获授权，申请美国专利2项，申请澳大利亚革新专利2项；在国内外权威期刊和重要学术会议上发表研究论文29篇，其中SCI/EI收录20篇。项目执行期间，组织承办2019年第31届中国控制与决策会议；项目组成员3人赴国外大学交流访问；带领项目组成员和研究生参加国际、国内学术会议交流28人次；培养出站博士后2人，培养毕业博士研究生2人，硕士研究生8人，在读博士1人，硕士5人。较好地完成了预期目标。