{"title":"具有多重运动目标和切换约束的虚拟耦合列车安全规定性能控制。","authors":"Wenxiao Si, Shigen Gao","doi":"10.1016/j.isatra.2025.02.019","DOIUrl":null,"url":null,"abstract":"<div><div>Virtual coupling (VC), aimed at achieving closer tracking distances and facilitating flexible train formations, has become an efficacious trend for alleviating the increasing demand for transportation capacity as the continuous advancement of urbanization. This paper investigates safety prescribed performance control (SPPC) for VC trains with multifold kinematic targets and switching constraints (SCs). In comparison to traditional continuous PPC methods, SPPC strategy incorporating discontinuous characteristics is designed to ensure that position and speed errors of VC train formation remain within the maximum overshoot limit within a finite time after the mutation of tracking target. It is achieved by separating the analysis of continuous intervals and discontinuous impulsive points, which ensures the stable properties of the closed-loop system through utilizing the Lyapunov method and strict mathematical justification. To ensure the safe train operation, multiple kinematic targets are considered throughout the entire process, from un-formation to final cooperative VC formation. To avoid the occurrence of unstable switching before the completion of the formation, the monitor output for the mode partition is made subject to the joint effect of position and speed targets. By imposing a minimum dwell time constraint, the train’s real-time running state does not switch frequently within a single mode, which eliminates the Zeno phenomenon. Finally, based on implementing several scenarios for multi-train VC formation adhering to SCs, and incorporating the sample data sourced from the high-speed G1 train traversing from Beijing South Railway Station (BSRS) to Jinan West Railway Station (JWRS), the effectiveness of mode partition and the theoretical results in train operations are verified in numerical simulations.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"160 ","pages":"Pages 19-40"},"PeriodicalIF":6.6000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Safety prescribed performance control of virtually-coupled trains with multifold kinematic targets and switching constraints\",\"authors\":\"Wenxiao Si, Shigen Gao\",\"doi\":\"10.1016/j.isatra.2025.02.019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Virtual coupling (VC), aimed at achieving closer tracking distances and facilitating flexible train formations, has become an efficacious trend for alleviating the increasing demand for transportation capacity as the continuous advancement of urbanization. This paper investigates safety prescribed performance control (SPPC) for VC trains with multifold kinematic targets and switching constraints (SCs). In comparison to traditional continuous PPC methods, SPPC strategy incorporating discontinuous characteristics is designed to ensure that position and speed errors of VC train formation remain within the maximum overshoot limit within a finite time after the mutation of tracking target. It is achieved by separating the analysis of continuous intervals and discontinuous impulsive points, which ensures the stable properties of the closed-loop system through utilizing the Lyapunov method and strict mathematical justification. To ensure the safe train operation, multiple kinematic targets are considered throughout the entire process, from un-formation to final cooperative VC formation. To avoid the occurrence of unstable switching before the completion of the formation, the monitor output for the mode partition is made subject to the joint effect of position and speed targets. By imposing a minimum dwell time constraint, the train’s real-time running state does not switch frequently within a single mode, which eliminates the Zeno phenomenon. Finally, based on implementing several scenarios for multi-train VC formation adhering to SCs, and incorporating the sample data sourced from the high-speed G1 train traversing from Beijing South Railway Station (BSRS) to Jinan West Railway Station (JWRS), the effectiveness of mode partition and the theoretical results in train operations are verified in numerical simulations.</div></div>\",\"PeriodicalId\":14660,\"journal\":{\"name\":\"ISA transactions\",\"volume\":\"160 \",\"pages\":\"Pages 19-40\"},\"PeriodicalIF\":6.6000,\"publicationDate\":\"2025-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ISA transactions\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0019057825001107\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/2/26 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISA transactions","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0019057825001107","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/26 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Safety prescribed performance control of virtually-coupled trains with multifold kinematic targets and switching constraints
Virtual coupling (VC), aimed at achieving closer tracking distances and facilitating flexible train formations, has become an efficacious trend for alleviating the increasing demand for transportation capacity as the continuous advancement of urbanization. This paper investigates safety prescribed performance control (SPPC) for VC trains with multifold kinematic targets and switching constraints (SCs). In comparison to traditional continuous PPC methods, SPPC strategy incorporating discontinuous characteristics is designed to ensure that position and speed errors of VC train formation remain within the maximum overshoot limit within a finite time after the mutation of tracking target. It is achieved by separating the analysis of continuous intervals and discontinuous impulsive points, which ensures the stable properties of the closed-loop system through utilizing the Lyapunov method and strict mathematical justification. To ensure the safe train operation, multiple kinematic targets are considered throughout the entire process, from un-formation to final cooperative VC formation. To avoid the occurrence of unstable switching before the completion of the formation, the monitor output for the mode partition is made subject to the joint effect of position and speed targets. By imposing a minimum dwell time constraint, the train’s real-time running state does not switch frequently within a single mode, which eliminates the Zeno phenomenon. Finally, based on implementing several scenarios for multi-train VC formation adhering to SCs, and incorporating the sample data sourced from the high-speed G1 train traversing from Beijing South Railway Station (BSRS) to Jinan West Railway Station (JWRS), the effectiveness of mode partition and the theoretical results in train operations are verified in numerical simulations.
期刊介绍:
ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.