Research on Tracking Control of Urban Rail Trains Based on Improved Disturbance Observer

Author:

Zhou Yanli123ORCID,Zhang Jianping12,Yang Hui123

Affiliation:

1. School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China

2. Key Laboratory of Advanced Control & Optimization of Jiangxi Province, East China Jiaotong University, Nanchang 330013, China

3. State Key Laboratory of Performance Monitoring Protecting of Rail Transit Infrastructure, East China Jiaotong University, Nanchang 330013, China

Abstract

Urban rail transit trains operate in a complex and changing environment susceptible to uncertainties such as unknown disturbances or actuator faults. In order to ensure that the automatic train control (ATC) system can operate safely and control accurately even when the train is affected by uncertainties, the train is first subjected to force analysis, and a multiple point-mass model for the urban rail trains (URTs) is established. Secondly, an improved disturbance observer is proposed to estimate and attenuate the unknown disturbance online. The stability of the URTs system under the improved disturbance observer-based control (IDOBC) is demonstrated based on the linear matrix inequality and Lyapunov theorem. Finally, the Simulink platform is used to verify the target curves obtained after data optimization of the certain Nanchang Metro line for case verification. Compared to the traditional disturbance observer-based control (TDOBC) method, the train tracking error converges to near the zero region faster after being subjected to an external disturbance, and the mean absolute error (MAE) metric is smaller throughout the whole operation. The control strategy proposed in this paper has a more desirable control effect and can ensure the safer and more stable operation of the URTs.

Funder

National Natural Science Foundation of China

The Technological Innovation Guidance Program of Jiangxi Province

Graduate Innovative Special Fund Project of Jiangxi Province

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

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