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2020 | OriginalPaper | Chapter

Research on Railway Vehicle Stability Control Utilizing Mass Inertia Method

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Abstract

A new control method is proposed to enhance the stability of railway vehicles with additional mass without modification of the bogies. Two mass are set on the bogie and controlled by actuators. Each of the mass has a lateral degree of freedom relative to the bogie. The motion of two mass used to suppress the lateral and yaw vibration of the bogie respectively. The control algorithm is designed based on full-state feedback control theory and optimal control theory. A dynamic model is established and analyzed on MATLAB/Simulink. The control method is analyzed in both time-domain and frequency-domain. The results show that the critical speed of the bogie is enhanced. The dynamic performances of the vehicle are also improved in all speed range.

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Literature
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2.
go back to reference Pearson, J.T., Goodall, R M.: An active stability system for a high speed railway vehicle. In: Electronic Systems and Control Division Research (2003) Pearson, J.T., Goodall, R M.: An active stability system for a high speed railway vehicle. In: Electronic Systems and Control Division Research (2003)
3.
go back to reference Yao, Y., Wu, G.: Hunting stability analysis of high-speed train bogie under the frame lateral vibration active control. Veh. Syst. Dyn. 56, 297–318 (2018)CrossRef Yao, Y., Wu, G.: Hunting stability analysis of high-speed train bogie under the frame lateral vibration active control. Veh. Syst. Dyn. 56, 297–318 (2018)CrossRef
4.
go back to reference Shen, G.: Railway Vehicle System Dynamics. China Railway Publishing House, Beijing (2014) Shen, G.: Railway Vehicle System Dynamics. China Railway Publishing House, Beijing (2014)
5.
go back to reference Liu, B., Tang, W.S.: Modern Control Theory. China Machine Press, Beijing (2006) Liu, B., Tang, W.S.: Modern Control Theory. China Machine Press, Beijing (2006)
Metadata
Title
Research on Railway Vehicle Stability Control Utilizing Mass Inertia Method
Authors
Gang Shen
Qin Li
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-38077-9_5

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