Research on Autonomous Driving Control Technology for Heavy Haul Train
In traditional heavy haul train operation, which is generally in manual control mode, the difficulty for drivers to operate the heavy haul train is increased and the work intensity is high. In order to further improve transportation throughput, save cost, reduce drivers’ work intensity, a control me...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Control and Information Technology
2020-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2020.02.006 |
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| _version_ | 1849224884680392704 |
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| author | DU Kaibing ZHANG Zhengfang WEN Yuliang |
| author_facet | DU Kaibing ZHANG Zhengfang WEN Yuliang |
| author_sort | DU Kaibing |
| collection | DOAJ |
| description | In traditional heavy haul train operation, which is generally in manual control mode, the difficulty for drivers to operate the heavy haul train is increased and the work intensity is high. In order to further improve transportation throughput, save cost, reduce drivers’ work intensity, a control method considering railway lines and signals was proposed. A distributed longitudinal dynamic model, resistance model and air braking model of a long freight train are established for the control system. The target status dynamic planning and control technology under multiple constraints is studied. Autonomous driving control experiments are successfully conducted in Xikang Railway. Automatic zero-speed starting, acceleration control, deceleration control, air braking control, air braking control, passing through neutral zone and automatic stopping to zero-speed have been successfully achieved with the proposed technology. Experimental results show that autonomous driving of the heavy haul train can be effectively realized by the method proposed in this paper. |
| format | Article |
| id | doaj-art-7d7a2da2129742fda9165b4a96d1b1c2 |
| institution | Kabale University |
| issn | 2096-5427 |
| language | zho |
| publishDate | 2020-01-01 |
| publisher | Editorial Office of Control and Information Technology |
| record_format | Article |
| series | Kongzhi Yu Xinxi Jishu |
| spelling | doaj-art-7d7a2da2129742fda9165b4a96d1b1c22025-08-25T06:50:49ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272020-01-01373182320377Research on Autonomous Driving Control Technology for Heavy Haul TrainDU KaibingZHANG ZhengfangWEN YuliangIn traditional heavy haul train operation, which is generally in manual control mode, the difficulty for drivers to operate the heavy haul train is increased and the work intensity is high. In order to further improve transportation throughput, save cost, reduce drivers’ work intensity, a control method considering railway lines and signals was proposed. A distributed longitudinal dynamic model, resistance model and air braking model of a long freight train are established for the control system. The target status dynamic planning and control technology under multiple constraints is studied. Autonomous driving control experiments are successfully conducted in Xikang Railway. Automatic zero-speed starting, acceleration control, deceleration control, air braking control, air braking control, passing through neutral zone and automatic stopping to zero-speed have been successfully achieved with the proposed technology. Experimental results show that autonomous driving of the heavy haul train can be effectively realized by the method proposed in this paper.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2020.02.006autonomous drivingheavy haul trainreal-time controltarget status planningsaftey-oriented control |
| spellingShingle | DU Kaibing ZHANG Zhengfang WEN Yuliang Research on Autonomous Driving Control Technology for Heavy Haul Train Kongzhi Yu Xinxi Jishu autonomous driving heavy haul train real-time control target status planning saftey-oriented control |
| title | Research on Autonomous Driving Control Technology for Heavy Haul Train |
| title_full | Research on Autonomous Driving Control Technology for Heavy Haul Train |
| title_fullStr | Research on Autonomous Driving Control Technology for Heavy Haul Train |
| title_full_unstemmed | Research on Autonomous Driving Control Technology for Heavy Haul Train |
| title_short | Research on Autonomous Driving Control Technology for Heavy Haul Train |
| title_sort | research on autonomous driving control technology for heavy haul train |
| topic | autonomous driving heavy haul train real-time control target status planning saftey-oriented control |
| url | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2020.02.006 |
| work_keys_str_mv | AT dukaibing researchonautonomousdrivingcontroltechnologyforheavyhaultrain AT zhangzhengfang researchonautonomousdrivingcontroltechnologyforheavyhaultrain AT wenyuliang researchonautonomousdrivingcontroltechnologyforheavyhaultrain |