A Super-Twisting-Like Algorithm and Its Application to Train Operation Control With Optimal Utilization of Adhesion Force
文献类型：期刊论文
| 作者 | Chen, Yao1; Dong, Hairong2; Lu, Jinhu3 ; Sun, Xubin4; Guo, Liang4
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| 刊名 | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
 |
| 出版日期 | 2016-11-01 |
| 卷号 | 17期号:11页码:3035-3044 |
| 关键词 | Train operation control super-twisting algorithm adhesion force |
| ISSN号 | 1524-9050 |
| DOI | 10.1109/TITS.2016.2539361 |
| 英文摘要 | 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. |
| 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:000387902500004 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/24109]  |
| 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. |
入库方式： OAI收割
来源：数学与系统科学研究院
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