PARAMETER-VARYING ARTIFICIAL POTENTIAL FIELD CONTROL OF VIRTUAL COUPLING SYSTEM WITH NONLINEAR DYNAMICS

Yuan Cao, Jiakun Wen, Aatef Hobiny (), Peng Li and Tao Wen
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Yuan Cao: National Engineering Research Center of Rail Transportation Operation and Control System, Beijing Jiaotong University, Beijing, P. R. China
Jiakun Wen: ��School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, P. R. China
Aatef Hobiny: ��Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah 21521, Saudi Arabia
Peng Li: ��School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, P. R. China
Tao Wen: ��School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, P. R. China

FRACTALS (fractals), 2022, vol. 30, issue 02, 1-12

Abstract: In rail transit systems, improving transportation efficiency has become a research hotspot. In recent years, a new method of train control system based on virtual coupling has attracted the attention of many scholars. Virtual coupled train is a typical nonlinear system. How to control the nonlinear system with high precision is the key to realize the safe and efficient operation of virtual coupled train. Therefore, this paper proposes a virtual coupling scheme based on local leader–follower method. On this basis, the controller based on artificial potential field with variable parameter mixed is applied to carry out the collaborative and anti-collision control for the virtual coupled train system with nonlinear dynamics. Finally, a section of the Beijing–Shanghai high-speed railway is taken as the background to verify the effectiveness of artificial potential field with variable parameter mixed controller. The results show that the variable parameter artificial potential field controller with changing the weight can reduce the average error of the stop by 0.4304m compared with the traditional controller.

Keywords: Nonlinear System; Virtual Coupling; Artificial Potential Field; Train Control System (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0218348X22400990

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