A Super-Twisting-Like Algorithm and Its Application to Train Operation Control With Optimal Utilization of Adhesion Force

doi:10.1109/TITS.2016.2539361

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	A Super-Twisting-Like Algorithm and Its Application to Train Operation Control With Optimal Utilization of Adhesion Force
	Chen, Yao 1; Dong, Hairong 2; Lu, Jinhu3 ; Sun, Xubin 4; Guo, Liang 4
	2016-11-01
发表期刊	IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
ISSN	1524-9050
卷号	17 期号:11 页码:3035-3044
摘要	The friction between wheel and track is usually called adhesion force, and it is the critical factor for the movement of trains. On one hand, excessive driving force of a train may lead to insufficient utilization of the adhesion effect and cause wasted energy; on the other hand, insufficient driving force of a train brings inefficient train operation. To balance the issues of energy consumption, operational efficiency, and security, it is necessary to control a train to obtain its maximal adhesion force, particularly in the cases of fast acceleration and emergency braking. However, since engineering experiments indicate a complex nonlinear relationship between the adhesion force and the slip ratio of a train, such a control problem is difficult and challenging, particularly when the optimal slip ratio is unknown. Facing this problem, this paper proposes a novel control method based on the modification of the famous super-twisting sliding mode algorithm, and rigorous mathematical analysis is given to guarantee the ultimate boundedness of the proposed algorithm. Furthermore, by considering four different control scenarios, detailed control and estimation algorithms are both proposed. Simulation result verifies that the proposed control strategy can control the train to obtain its maximum adhesion force.
关键词	Train operation control super-twisting algorithm adhesion force
DOI	10.1109/TITS.2016.2539361
语种	英语
资助项目	National Natural Science Foundation of China[61304157] ; National Natural Science Foundation of China[61322307] ; National Natural Science Foundation of China[61233001] ; National Natural Science Foundation of China[61304196]
WOS研究方向	Engineering ; Transportation
WOS类目	Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号	WOS:000387902500004
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/24110
专题	系统科学研究所
通讯作者	Chen, Yao
作者单位	1.Hong Kong Polytech Univ, Dept Comp, Kowloon, Hong Kong, Peoples R China 2.Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Beijing 100190, Peoples R China 4.Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
推荐引用方式 GB/T 7714	Chen, Yao,Dong, Hairong,Lu, Jinhu,et al. A Super-Twisting-Like Algorithm and Its Application to Train Operation Control With Optimal Utilization of Adhesion Force[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2016,17(11):3035-3044.
APA	Chen, Yao,Dong, Hairong,Lu, Jinhu,Sun, Xubin,&Guo, Liang.(2016).A Super-Twisting-Like Algorithm and Its Application to Train Operation Control With Optimal Utilization of Adhesion Force.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,17(11),3035-3044.
MLA	Chen, Yao,et al."A Super-Twisting-Like Algorithm and Its Application to Train Operation Control With Optimal Utilization of Adhesion Force".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 17.11(2016):3035-3044.