{"title":"Anti-Saturation Sliding Mode Control for Virtually Coupled HHTs Under Saturation Constraints","authors":"Jing He, Yu Long, Changfan Zhang","doi":"10.1049/itr2.70008","DOIUrl":null,"url":null,"abstract":"<p>Maintaining an appropriate distance between trains is key to the normal operation of multiple trains in the virtual coupling mode. However, owing to physical limitations, the saturation of the control system is prone to occur during actual train operations, which makes it difficult to maintain a safe distance between adjacent trains when the speed changes. An anti-saturation sliding mode control algorithm for multiple virtually coupled trains was proposed to address this issue. First, according to the virtual coupling dynamics model of multiple heavy-haul trains (HHTs), an improved finite-time anti-windup compensator (FAWC) suitable for the train model was designed such that the compensation factor rapidly converged within a finite time. Second, the FAWC was introduced into the controller to suppress the input saturation phenomenon of trains. Then, a finite-time dual anti-saturation sliding mode controller (FDA-SMC) was constructed based on the barrier Lyapunov function in combination with the sliding mode algorithm against input constraints to suppress the impact of input and output saturation on the tracking accuracy for the relative position between adjacent HHTs. The stability of the closed-loop system was verified using the Lyapunov stability theory. Finally, the simulation and experimental results showed that the proposed algorithm demonstrated advantages in terms of anti-saturation performance and maintained a safe distance between adjacent HHTs.</p>","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"19 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.70008","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Intelligent Transport Systems","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/itr2.70008","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Maintaining an appropriate distance between trains is key to the normal operation of multiple trains in the virtual coupling mode. However, owing to physical limitations, the saturation of the control system is prone to occur during actual train operations, which makes it difficult to maintain a safe distance between adjacent trains when the speed changes. An anti-saturation sliding mode control algorithm for multiple virtually coupled trains was proposed to address this issue. First, according to the virtual coupling dynamics model of multiple heavy-haul trains (HHTs), an improved finite-time anti-windup compensator (FAWC) suitable for the train model was designed such that the compensation factor rapidly converged within a finite time. Second, the FAWC was introduced into the controller to suppress the input saturation phenomenon of trains. Then, a finite-time dual anti-saturation sliding mode controller (FDA-SMC) was constructed based on the barrier Lyapunov function in combination with the sliding mode algorithm against input constraints to suppress the impact of input and output saturation on the tracking accuracy for the relative position between adjacent HHTs. The stability of the closed-loop system was verified using the Lyapunov stability theory. Finally, the simulation and experimental results showed that the proposed algorithm demonstrated advantages in terms of anti-saturation performance and maintained a safe distance between adjacent HHTs.
期刊介绍:
IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following:
Sustainable traffic solutions
Deployments with enabling technologies
Pervasive monitoring
Applications; demonstrations and evaluation
Economic and behavioural analyses of ITS services and scenario
Data Integration and analytics
Information collection and processing; image processing applications in ITS
ITS aspects of electric vehicles
Autonomous vehicles; connected vehicle systems;
In-vehicle ITS, safety and vulnerable road user aspects
Mobility as a service systems
Traffic management and control
Public transport systems technologies
Fleet and public transport logistics
Emergency and incident management
Demand management and electronic payment systems
Traffic related air pollution management
Policy and institutional issues
Interoperability, standards and architectures
Funding scenarios
Enforcement
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Current Special Issue Call for papers:
Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf
Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf
Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf