| 周峰,涂尔卓,张琳,刘伟荣,张晓勇.基于自适应人工势函数的多列车协同跟踪控制[J].电子测量与仪器学报,2025,39(11):224-233 |
| 基于自适应人工势函数的多列车协同跟踪控制 |
| Cooperative tracking control of the multiple-high-speed trains system usingadaptive artificial potential function |
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| DOI: |
| 中文关键词: 多高速列车 协同巡航控制 模糊控制 人工势场法 安全距离 |
| 英文关键词:multiple high-speed trains cooperative cruise control fuzzy control artificial potential field safety distance |
| 基金项目:湖南省自然科学基金(2021JJ30876)项目资助 |
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| Author | Institution |
| Zhou Feng | School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410114,China |
| Tu Erzhuo | Changsha Aerospace school, Changsha 410221,China |
| Zhanglin | Hunan Railway Professional Technology College, Zhuzhou 412001,China |
| Liu Weirong | School of Electronic Information, Central South University, Changsha 410083,China |
| Zhang Xiaoyong | School of Electronic Information, Central South University, Changsha 410083,China |
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| 中文摘要: |
| 保证高速列车群协同控制中的速度一致性和跟踪区间安全性对提高铁路的营运效率和运行安全十分重要。围绕更高效安全的运行需求,首先根据多列合作的虚拟耦合机制建立了高速列车的动态模型,并利用代数图论构造了列车群的通信拓扑结构;其次,设计了一种基于自适应人工势函数的多列车协同跟踪控制策略。针对安全间距约束问题,设计具有调节能力的势函数,将相对位置误差转化为势能梯度场中的动态补偿量;最后将人工势场法与模糊理论相融合,通过模糊隶属度函数动态修正势场强度系数,使得系统能够动态管理稳定运行状态下的列车的实际间距与期望间距偏差量,根据实际控制需求对安全间距进行灵活调整。通过仿真验证,该方案在控制精度上具有显著优势,所提出的跟踪控制策略可以保证每列高速列车都以要求的速度运行,并在理想的距离范围下跟踪前一列列车,误差控制在-0.12~0.21 km以内,提升了铁路运行效率的同时能够更好适应复杂的运行环境。 |
| 英文摘要: |
| Ensuring the speed consistency and tracking interval safety in the cooperative control of high-speed train group is very important to improve the operational efficiency and operational safety of railroads. Focusing on the demand for more efficient and safe operation, this paper firstly establishes a dynamic model of high-speed trains based on the virtual coupling mechanism of multi-train cooperation, and constructs the communication topology of the train group by using the algebraic graph theory; secondly, a multi-train cooperative tracking control strategy based on adaptive artificial potential function is designed. For the safety spacing constraint problem, a potential function with adjusting ability is designed to transform the relative position error into a dynamic compensation quantity in the potential gradient field; finally, the artificial potential field method is integrated with the fuzzy theory, and the strength coefficients of the potential field are dynamically corrected by the fuzzy affiliation function, so that the system can dynamically manage the deviation of the actual spacing of trains and the desired spacing under the stable operation state, and flexibly adjust the safety spacing according to the actual control demand. The spacing is flexibly adjusted according to the actual control requirements. Through simulation verification, the scheme has significant advantages in control accuracy, and the proposed tracking control strategy can ensure that each high-speed train operates at the required speed and tracks the previous train under the ideal distance range, and the error is controlled within -0.12~0.21 km, which enhances the efficiency of the railroad operation and better adapts to the complex operating environment. |
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