Patent
Running process modeling and adaptive control method for motor train unit
Yang Hui,Zhang Kunpeng,Li Zhongqi,Fu Yating,Liu Jiemin +4 more
- 27 May 2015
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About: The article was published on 27 May 2015. The article focuses on the topics: Adaptive control & Process modeling.
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Citations
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Intelligent locomotive operation method and system based on deep reinforcement learning
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TL;DR: In this article, the authors proposed an intelligent locomotive operation method and system based on deep reinforcement learning, which consists of a data source module, a locomotive operator environment learning module, an evaluation mechanism learning module and a control strategy learning module.
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Urban rail train intelligent control method based on driving experience and online study
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- 05 Nov 2014
TL;DR: In this article, an urban-railway system train intelligent control method based on driving experience and online study is presented, which obtains output of a controller through simulation of a driving strategy of an experienced driver, use of real-time data of train operation and reasoning and induction, and uses realtime information and speed-limit information of the trains to reasonably distribute the remaining time of train operating so that a time precision estimation value and a speed estimation value are obtained, and based on an MTDA algorithm of the real time information, the method uses a train operation limit speed and
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Railway locomotive running dynamic simulation test device and simulation method thereof
Gu Ming,Zhao Xibin,Huang Jin,Zang Daxin,Liu Guangtao +4 more
- 18 Jun 2014
TL;DR: In this article, a railway locomotive running dynamic simulation test device and a simulation method for the locomotive's running dynamic simulations is presented, which is capable of effectively testing the effectiveness and reasonability of a proposed locomotive-running energy consumption optimization scheme and testing running safety and punctuality of a locomotive.
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Patent
Train timetable optimization method based on ATS adjusting function
Chong Lei,Jiao Yuan,Yan Dan,Chen Suxiang,Yang Minglai,Ma Ziyan,Chen Wenjie,Liang Jianru,Ma Weijie,Wang Wei,Shi Cong,Lu Xinyuan,Zhao Yuan +12 more
- 26 Aug 2015
TL;DR: In this article, a train timetable optimization method based on an ATS adjusting function is proposed, where train operation influence factors are acquired, including basic facility data and transport organization modes.
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Method and system for achieving railway locomotive operation control from off-line mode to on-line mode
Jin Huang,Chen Xinjie,Du Fangyu,Chen Xinyue,Zang Daxin +4 more
- 18 Jun 2014
TL;DR: In this article, a method and system for railway locomotive operation control from an off-line mode to an on-line one is presented. But the method is based on a sequence pattern excavation method to obtain a control gear sequence from original operation data of a locomotive in an offline mode.
6
References
Patent
Automatic train operating apparatus
Michihiro Hatano,Keiichi Kamata,Toshihiro Koyama,Minami Yotaro,Yoshikazu Oba,Kazuaki Yuki,南 陽太朗,波多野 通 広 +7 more
- 09 Aug 2002
TL;DR: In this paper, the authors proposed an online process to automatically learn train properties during travel of a train, with the control parameters of train travel, the physical properties of the train itself during train operation, and the physical values showing the rout properties as the train properties.
20
Patent
Method and system for controlling working condition switching of train
Bin Ning,Haifeng Wang,Tao Tang,Chunhai Gao,Yuan Bian,Lu Zhang +5 more
- 12 Jan 2011
TL;DR: In this paper, a method and a system for controlling the working condition switching of a train is presented, which comprises the following steps: acquiring a resultant force F currently acting on the train, and using the speed difference e between the current operating speed and the target speed as an input variable; fuzzifying the input variable, carrying out fuzzy reasoning on the fuzzification result according to an established fuzzy rule to obtain an output variable U; and defuzzifying the output variable, and controlling the train according to the defuzzification result.
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