Aiming at the robustness issue in high-speed trains operation control, this paper proposes a model-free adaptive control (MFAC) scheme to suppress disturbance. Firstly, the dynamic linearization data model of train system under the action of measurement disturbance is given, and the Kalman filter based on this model is derived under the minimum variance estimation criterion. Then, according to Kalman filter, an anti-interference MFAC scheme is designed. This scheme only needs the input and output data of the controlled system to realize the MFAC of the train under strong disturbance. Finally, the simulation experiment of CRH380A high-speed trains is carried out and compared with the traditional MFAC and the MFAC with attenuation factor: the proposed control algorithm can effectively suppress the measurement disturbance, and can obtain smaller tracking error and larger data signal to noise ratio with better applicability.
{"title":"Model-free adaptive robust control method for high-speed trains","authors":"Li Zhong-qi, Zhou Liang, Yang Hui, Yan Yue","doi":"10.1093/tse/tdad013","DOIUrl":"https://doi.org/10.1093/tse/tdad013","url":null,"abstract":"\u0000 Aiming at the robustness issue in high-speed trains operation control, this paper proposes a model-free adaptive control (MFAC) scheme to suppress disturbance. Firstly, the dynamic linearization data model of train system under the action of measurement disturbance is given, and the Kalman filter based on this model is derived under the minimum variance estimation criterion. Then, according to Kalman filter, an anti-interference MFAC scheme is designed. This scheme only needs the input and output data of the controlled system to realize the MFAC of the train under strong disturbance. Finally, the simulation experiment of CRH380A high-speed trains is carried out and compared with the traditional MFAC and the MFAC with attenuation factor: the proposed control algorithm can effectively suppress the measurement disturbance, and can obtain smaller tracking error and larger data signal to noise ratio with better applicability.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45034355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the research on the new generation of intelligent rail transit system, the prevention of train collision safety accidents is still a focus. Virtual coupling technology is a technology that cooperatively controls the running speed and interval distance of two or more trains through Train-to-Train(T2T) train workshop direct communication technology. The aim is to form a coordinated logical whole and jointly complete the train control and dispatching organization. In this paper, a virtual coupling train formation control method based on model predictive control (MPC) framework is proposed. From the aspects of the establishment of virtual coupling system, the construction of MPC model and decoupling method, how to integrate virtual coupling technology into the rail transit train collision protection is studied. And the safety and reliability of the system are calculated through fault tree and the method of constructing reliability function. The research shows that, if virtual coupling technology is used as a method of train collision protection, the overall safety and reliability of the train control system will be improved.
{"title":"Research on virtual coupling technology in rail transit train collision protection","authors":"Gaosong Li, Jinbai Zou, Weijie Ma, Meng Lan","doi":"10.1093/tse/tdad012","DOIUrl":"https://doi.org/10.1093/tse/tdad012","url":null,"abstract":"\u0000 In the research on the new generation of intelligent rail transit system, the prevention of train collision safety accidents is still a focus. Virtual coupling technology is a technology that cooperatively controls the running speed and interval distance of two or more trains through Train-to-Train(T2T) train workshop direct communication technology. The aim is to form a coordinated logical whole and jointly complete the train control and dispatching organization. In this paper, a virtual coupling train formation control method based on model predictive control (MPC) framework is proposed. From the aspects of the establishment of virtual coupling system, the construction of MPC model and decoupling method, how to integrate virtual coupling technology into the rail transit train collision protection is studied. And the safety and reliability of the system are calculated through fault tree and the method of constructing reliability function. The research shows that, if virtual coupling technology is used as a method of train collision protection, the overall safety and reliability of the train control system will be improved.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49363006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
H. Tian, Tiantian Wang, Lei Xu, M. Sha, Shujun Chen, Zeyun Yang, Yan Zhu, Dawei Chen, Hengkui Li, Lei Zhang, Bosen Qian, X. Tian
Contagious pathogens like COVID-19 transmitted via respiratory droplets spread effortlessly in the passenger compartment of transport, significantly jeopardizing passengers’ safety when taking public transportation. To date, studies on the fundamental theories of airborne droplet transmission and the engineering application of decontamination techniques are insufficient for the prevention and control of pathogens transmitting in the compartment of passenger transport. It is essential to systematically investigate the control approaches to restrain pathogens from transmitting in passenger compartments. Herein, a theoretical framework for calculating the transmission of pathogens in a complex compartment environment was proposed, and experimental platforms that satisfy the Biosafety Level-2 Laboratory safety level for compartment environment simulations were built based on a set of real train cabins. On these bases, numerical investigations on motion of pathogen-laden droplets were conducted, and decontamination techniques were examined experimentally. Thereby, control measures on the pathogen transmission and pathogen decontamination schemes were proposed. Moreover, highly efficient decontamination devices were developed, and coping strategies for epidemic emergencies were devised. The outcomes provide theoretical and technical support for developing the next generation of transportation and the prevention and control measures cooperatively considering regular and pandemic times.
{"title":"Research and Development of Prevention and Control Measures on the Transmission of Pathogens in Compartments of Passenger Transport","authors":"H. Tian, Tiantian Wang, Lei Xu, M. Sha, Shujun Chen, Zeyun Yang, Yan Zhu, Dawei Chen, Hengkui Li, Lei Zhang, Bosen Qian, X. Tian","doi":"10.1093/tse/tdad011","DOIUrl":"https://doi.org/10.1093/tse/tdad011","url":null,"abstract":"\u0000 Contagious pathogens like COVID-19 transmitted via respiratory droplets spread effortlessly in the passenger compartment of transport, significantly jeopardizing passengers’ safety when taking public transportation. To date, studies on the fundamental theories of airborne droplet transmission and the engineering application of decontamination techniques are insufficient for the prevention and control of pathogens transmitting in the compartment of passenger transport. It is essential to systematically investigate the control approaches to restrain pathogens from transmitting in passenger compartments. Herein, a theoretical framework for calculating the transmission of pathogens in a complex compartment environment was proposed, and experimental platforms that satisfy the Biosafety Level-2 Laboratory safety level for compartment environment simulations were built based on a set of real train cabins. On these bases, numerical investigations on motion of pathogen-laden droplets were conducted, and decontamination techniques were examined experimentally. Thereby, control measures on the pathogen transmission and pathogen decontamination schemes were proposed. Moreover, highly efficient decontamination devices were developed, and coping strategies for epidemic emergencies were devised. The outcomes provide theoretical and technical support for developing the next generation of transportation and the prevention and control measures cooperatively considering regular and pandemic times.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47372435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Based on the 2012–2018 accident statistics on the Hunan Provincial Expressway in China, this paper analyzes the proportion to which various factors contribute to accidents, as well as the trends over time. From 2012 to 2018, the total number of general procedure handling accidents (i.e. major accidents) increased first and then decreased, while the number of accidents and deaths per 1 000 kilometers decreased year by year. The total number of simple procedure handling accidents (i.e. minor accidents) increased year by year, but the number of accidents per 1 000 kilometers remained relatively stable. Speeding, fatigued driving, improper driving operation, failure to maintain a safe distance from the preceding vehicle, and pedestrians entering the expressway are the main causes of general procedure handling accidents. Failure to maintain a safe distance from the preceding vehicle as required and improper driving operation accounted for approximately 2/3 of the simple procedure handling accidents. In view of the accidents caused by these factors, how to use law enforcement, education, science and technology, and facilities construction to further reduce the occurrence of expressway traffic accidents is discussed.
{"title":"Analysis of the causes of expressway traffic accidents based on statistics of accidents on the Hunan Provincial expressway in 2012-2018","authors":"Xinyu Liu, Shengjun Huang, Qun Chen","doi":"10.1093/tse/tdad010","DOIUrl":"https://doi.org/10.1093/tse/tdad010","url":null,"abstract":"\u0000 Based on the 2012–2018 accident statistics on the Hunan Provincial Expressway in China, this paper analyzes the proportion to which various factors contribute to accidents, as well as the trends over time. From 2012 to 2018, the total number of general procedure handling accidents (i.e. major accidents) increased first and then decreased, while the number of accidents and deaths per 1 000 kilometers decreased year by year. The total number of simple procedure handling accidents (i.e. minor accidents) increased year by year, but the number of accidents per 1 000 kilometers remained relatively stable. Speeding, fatigued driving, improper driving operation, failure to maintain a safe distance from the preceding vehicle, and pedestrians entering the expressway are the main causes of general procedure handling accidents. Failure to maintain a safe distance from the preceding vehicle as required and improper driving operation accounted for approximately 2/3 of the simple procedure handling accidents. In view of the accidents caused by these factors, how to use law enforcement, education, science and technology, and facilities construction to further reduce the occurrence of expressway traffic accidents is discussed.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47586139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A notable feature of a city or a region with close economic and social connections with its neighbors is reflected in its highly mixed local and external traffic, and in some cases the external traffic volume is almost as high as that of local traffic. Whilst local traffic volume may be largely made up of the same regular local commuters making frequent trips, the external traffic from outside of the city (region) may not be the same people making regular trips to/from the city, but from a large pool of people making in-frequent trips to/from the city, the existence of external traffic is proven by data from the license plate recognition system of road vehicle in Changde of China. The function of value of time correlated with income/wage rate and trip frequency is exploited and verified statistically. The time value distorted by trip frequency is defined as perceived time value (PTV), which also influences the way travelers perceive any travel impedance such as congestion delay and toll charges. This paper analyses the price of anarchy (POA) when explicitly considering the travel frequency of the trip-makers and their PTV, and compares with previous analysis without considering travel frequency. We show that when travel frequency is considered, the optimal toll of congested road pricing schemes which converts road traffic flow from User Equilibrium into System Optimization, is much lower than that without considering travel frequency, and cost of license plate auction cannot be treated as congestion toll, which is only threshold of vehicle ownership. That travelers choose route by PTV rather than TV (time value) is proven by an example of Heishipu bridge of Changsha of Hunan Province in China.
{"title":"How does trip frequency distort time value to impact congestion charging scheme?","authors":"Mao-sheng Li, H. Li","doi":"10.1093/tse/tdad008","DOIUrl":"https://doi.org/10.1093/tse/tdad008","url":null,"abstract":"\u0000 A notable feature of a city or a region with close economic and social connections with its neighbors is reflected in its highly mixed local and external traffic, and in some cases the external traffic volume is almost as high as that of local traffic. Whilst local traffic volume may be largely made up of the same regular local commuters making frequent trips, the external traffic from outside of the city (region) may not be the same people making regular trips to/from the city, but from a large pool of people making in-frequent trips to/from the city, the existence of external traffic is proven by data from the license plate recognition system of road vehicle in Changde of China. The function of value of time correlated with income/wage rate and trip frequency is exploited and verified statistically. The time value distorted by trip frequency is defined as perceived time value (PTV), which also influences the way travelers perceive any travel impedance such as congestion delay and toll charges. This paper analyses the price of anarchy (POA) when explicitly considering the travel frequency of the trip-makers and their PTV, and compares with previous analysis without considering travel frequency. We show that when travel frequency is considered, the optimal toll of congested road pricing schemes which converts road traffic flow from User Equilibrium into System Optimization, is much lower than that without considering travel frequency, and cost of license plate auction cannot be treated as congestion toll, which is only threshold of vehicle ownership. That travelers choose route by PTV rather than TV (time value) is proven by an example of Heishipu bridge of Changsha of Hunan Province in China.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46945879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study presents a hybrid data-mining framework based on feature selection algorithms and clustering methods to perform the pattern discovery of high-speed railway train rescheduling strategies (RS). The proposed model is composed of two states. In the first state, decision tree, random forest, Gradient Boosting Decision Tree (GBDT), and eXtreme Gradient Boosting (XGBoost) models are used to investigate the importance of features. The features that have a high influence on RS are first selected. In the second state, a K-means clustering method is used to uncover the interdependences between RS and the influencing features, based on the results in the first state. The proposed method can determine the quantitative relationships between RS and influencing factors. The results clearly show the influences of the factors on RS, the possibilities of different train operation RS under different situations, as well as some key time periods and key trains that the controllers should pay more attention to. The research in this paper can help train traffic controllers better understand the train operation patterns and provides direction for optimizing rail traffic RS.
{"title":"A hybrid data-mining framework for train rescheduling strategy pattern discovery","authors":"Rui Chen, Xu Ge, Ping Huang, Chao Wen","doi":"10.1093/tse/tdad007","DOIUrl":"https://doi.org/10.1093/tse/tdad007","url":null,"abstract":"\u0000 This study presents a hybrid data-mining framework based on feature selection algorithms and clustering methods to perform the pattern discovery of high-speed railway train rescheduling strategies (RS). The proposed model is composed of two states. In the first state, decision tree, random forest, Gradient Boosting Decision Tree (GBDT), and eXtreme Gradient Boosting (XGBoost) models are used to investigate the importance of features. The features that have a high influence on RS are first selected. In the second state, a K-means clustering method is used to uncover the interdependences between RS and the influencing features, based on the results in the first state. The proposed method can determine the quantitative relationships between RS and influencing factors. The results clearly show the influences of the factors on RS, the possibilities of different train operation RS under different situations, as well as some key time periods and key trains that the controllers should pay more attention to. The research in this paper can help train traffic controllers better understand the train operation patterns and provides direction for optimizing rail traffic RS.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42169855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To solve the problem that it is difficult to calculate the availability analysis of the existing private cloud safety computer platform, this paper proposes an executable availability analysis method of the private cloud safety computer platform based on Markov process. Firstly, according to the characteristics of private cloud safety computer platform, the executor is divided into three states: running, hot standby and cold standby. Secondly, the dynamic migration Markov model of private cloud safety computer platform is established. Then the equations based on Markov process are solved. Finally, the availability analysis model of private cloud safety computer platform based on Markov process is used to analyze the factors affecting the availability of the platform. Experimental results show that increasing the number of hot spare actuators can improve platform availability.
{"title":"Availability analysis of private cloud safety computer platform based on markov process","authors":"Limin Fu, Jiakun Wen","doi":"10.1093/tse/tdad004","DOIUrl":"https://doi.org/10.1093/tse/tdad004","url":null,"abstract":"\u0000 To solve the problem that it is difficult to calculate the availability analysis of the existing private cloud safety computer platform, this paper proposes an executable availability analysis method of the private cloud safety computer platform based on Markov process. Firstly, according to the characteristics of private cloud safety computer platform, the executor is divided into three states: running, hot standby and cold standby. Secondly, the dynamic migration Markov model of private cloud safety computer platform is established. Then the equations based on Markov process are solved. Finally, the availability analysis model of private cloud safety computer platform based on Markov process is used to analyze the factors affecting the availability of the platform. Experimental results show that increasing the number of hot spare actuators can improve platform availability.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49577968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Because of its large capacity, high efficiency, and energy savings, the subway has gradually become the primary mode of transportation for citizens. A high density of passengers exists within a large-passenger-flow subway station, and the number of casualties and injuries during a fire emergency is substantial. In this paper, Pathfinder software and on-site measured data of Pingzhou station in Shenzhen were utilized to simulate a fire emergency evacuation in a large-passenger-flow subway station. The Required Safe Egress Time (RSET), number of passengers, and flow rates of stairs and escalators were analysed for three fire evacuation scenarios: train fire, platform fire, and hall fire. The evacuation time of the train fire, which was 1173 s, was the longest, and 3621 occupants needed to evacuate when the train was fully loaded. Occupants could not complete the evacuation within 6 mins in all three fire evacuation scenarios, which does not meet the currently standards requirements and codes. By changing the number of passengers and the number of stairs for evacuation, the flow rate capacity and evacuation time were explored, which have reference values for safety management and emergency evacuation plan optimization during peak hours of subway operation.
{"title":"Simulation of Fire emergency evacuation in a large-passenger-flow subway station based on the on-site measured data of shenzhen metro","authors":"Hua Chen, Chenyang Zhang, Jieyu Zhang, Ya Shu, Xinjian Qi, Chaozhe Jiang","doi":"10.1093/tse/tdad006","DOIUrl":"https://doi.org/10.1093/tse/tdad006","url":null,"abstract":"\u0000 Because of its large capacity, high efficiency, and energy savings, the subway has gradually become the primary mode of transportation for citizens. A high density of passengers exists within a large-passenger-flow subway station, and the number of casualties and injuries during a fire emergency is substantial. In this paper, Pathfinder software and on-site measured data of Pingzhou station in Shenzhen were utilized to simulate a fire emergency evacuation in a large-passenger-flow subway station. The Required Safe Egress Time (RSET), number of passengers, and flow rates of stairs and escalators were analysed for three fire evacuation scenarios: train fire, platform fire, and hall fire. The evacuation time of the train fire, which was 1173 s, was the longest, and 3621 occupants needed to evacuate when the train was fully loaded. Occupants could not complete the evacuation within 6 mins in all three fire evacuation scenarios, which does not meet the currently standards requirements and codes. By changing the number of passengers and the number of stairs for evacuation, the flow rate capacity and evacuation time were explored, which have reference values for safety management and emergency evacuation plan optimization during peak hours of subway operation.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49372288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to deal with the problems of insufficient or excessive maintenance in current maintenance activities of China transit train, this paper develops a novel multi-component system maintenance optimization approach based on an opportunistic correlation model. Based on the minimal reliability and failure rate change rule of each train component, the novel proposed maintenance optimization benefits from an improved opportunistic maintenance model with system structure correlation, fault correlation and reliability correlation under imperfect maintenance. Then, different maintenance modes can be determined by a proposed maintenance factor under the different condition of components. Specifically, the reliability threshold of each component is also considered to optimize the maintenance cost by the system reliability and operational availability of the train. Furthermore, as the mentioned problem belongs to the NP-Hard optimization problems, a modified PSO with the improvement of inertia weight is proposed to cope with the optimization problem. Based on a specific case under the practical recorded failure data, the analysis shows that the proposed model and approach can effectively cut the maintenance cost.
{"title":"Multi-component system maintenance optimization of rail transit train based on opportunistic correlations","authors":"Jisheng Dai, Rongjun Ding, Yong Fu, Yong Qin","doi":"10.1093/tse/tdad005","DOIUrl":"https://doi.org/10.1093/tse/tdad005","url":null,"abstract":"\u0000 In order to deal with the problems of insufficient or excessive maintenance in current maintenance activities of China transit train, this paper develops a novel multi-component system maintenance optimization approach based on an opportunistic correlation model. Based on the minimal reliability and failure rate change rule of each train component, the novel proposed maintenance optimization benefits from an improved opportunistic maintenance model with system structure correlation, fault correlation and reliability correlation under imperfect maintenance. Then, different maintenance modes can be determined by a proposed maintenance factor under the different condition of components. Specifically, the reliability threshold of each component is also considered to optimize the maintenance cost by the system reliability and operational availability of the train. Furthermore, as the mentioned problem belongs to the NP-Hard optimization problems, a modified PSO with the improvement of inertia weight is proposed to cope with the optimization problem. Based on a specific case under the practical recorded failure data, the analysis shows that the proposed model and approach can effectively cut the maintenance cost.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42939124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to deal with the uncertainties caused by different operation conditions and unknown actuator failures of high-speed trains, an adaptive failures compensation control scheme is designed based on the piecewise model. A piecewise constant model is introduced to describe the variable system parameters caused by the variable operation environments, and a multiple-particle piecewise model of high-speed trains, with unknown actuator failures is then established. An adaptive failure compensation controller is developed for the multiple-particle piecewise constant model, by using a direct model reference adaptive control method. Such an adaptive controller can not only compensate the uncertainties from unknown actuator failures, but also effectively deal with the uncertainties caused by different operating conditions. Finally, a CRH380A type high-speed train model is taken as the controlled object for the simulation study. The simulation results show that the proposed controller ensures the desired system performance in the presence of unknown actuator failures and uncertain operation conditions.
{"title":"Piecewise model based adaptive compensation control for high-speed trains with unknown actuator failures","authors":"Chang Tan, Junhui Zhang, Hui Yang, Leilei Zhang","doi":"10.1093/tse/tdad003","DOIUrl":"https://doi.org/10.1093/tse/tdad003","url":null,"abstract":"\u0000 In order to deal with the uncertainties caused by different operation conditions and unknown actuator failures of high-speed trains, an adaptive failures compensation control scheme is designed based on the piecewise model. A piecewise constant model is introduced to describe the variable system parameters caused by the variable operation environments, and a multiple-particle piecewise model of high-speed trains, with unknown actuator failures is then established. An adaptive failure compensation controller is developed for the multiple-particle piecewise constant model, by using a direct model reference adaptive control method. Such an adaptive controller can not only compensate the uncertainties from unknown actuator failures, but also effectively deal with the uncertainties caused by different operating conditions. Finally, a CRH380A type high-speed train model is taken as the controlled object for the simulation study. The simulation results show that the proposed controller ensures the desired system performance in the presence of unknown actuator failures and uncertain operation conditions.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48752359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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