Research on Precision Parking Control Method for EMU Inbound Process

Authors

Zhongqi Li, 1. Key Laboratory of Advanced Control & Optimization of Jiangxi Province, Nanchang 330013, China; ;2. School Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China;
Yueshuang Xing, 1. Key Laboratory of Advanced Control & Optimization of Jiangxi Province, Nanchang 330013, China; ;2. School Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China;

Abstract

Abstract: By analyzing the relationship between braking force and speed during the stop-stop process of high-speed EMU(Electric Multiple Units), the multi-point dynamics model of EMU is constructed. The Smith predictor is introduced due to the delay effect on the system caused by the braking force generated during the late braking, and the RBF(Radial Basis Function) neural network-based PID control strategy is combined with the Smith predictor to achieve tracking control of a given speed during braking. Simulation analysis shows that the error of train speed and set speed controlled by RBF neural network PID-Smith controller is less than ±1 km/h, and the parking error is less than ±0.3 m, which meets the inbound braking and parking requirement.

Recommended Citation

Li, Zhongqi and Xing, Yueshuang (2021) "Research on Precision Parking Control Method for EMU Inbound Process," Journal of System Simulation: Vol. 33: Iss. 1, Article 16.
DOI: 10.16182/j.issn1004731x.joss.19-0165
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss1/16

First Page

149

Revised Date

2019-10-29

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-0165

Last Page

158

CLC

TP273

Recommended Citation

Li Zhongqi, Xing Yueshuang. Research on Precision Parking Control Method for EMU Inbound Process[J]. Journal of System Simulation, 2021, 33(1): 149-158.

DOI

10.16182/j.issn1004731x.joss.19-0165