4.6 Article

Optimal robust constraints-following control for rail vehicle virtual coupling

期刊

JOURNAL OF VIBRATION AND CONTROL
卷 29, 期 5-6, 页码 1352-1365

出版社

SAGE PUBLICATIONS LTD
DOI: 10.1177/10775463211062333

关键词

virtual coupling; optimal robust control; Udwadia-Kalaba approach; inequality constraint; state transform

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This paper presents the robust control problem of rail vehicle virtual coupling platoon and designs a robust controller based on the Udwadia-Kalaba equation. By introducing the concept of virtual coupling and establishing the dynamics model, the control objective is ensured. Through state transformation and constraint-following design, the controller achieves uniform boundedness and satisfies the bidirectional restriction of spatial constraint and spacing error. Numerical simulations validate the effectiveness of the proposed methods.
This paper puts forward the robust control problem of rail vehicle virtual coupling platoon that is subject to nonlinear and time-varying uncertainties. The uncertainties are caused by external disturbances and parameter variations. To this end, this paper designs a robust controller based on the Udwadia-Kalaba (UK) equation. First, we introduce the concept of virtual coupling and establish the longitudinal dynamics model of the rail vehicle. In order to ensure the control objective of the virtual coupling process, the spatial constraint on position and bidirectional inequality constraints for the spacing error between the marshalling trains are established. After changing the bounded state into the unbounded state through the state transformation, the UK approach can be used. Then, the constraint-following robust controller design is based on the UK approach and Lyapunov stability theory. The controller can render the unbounded state eventual uniform boundedness and uniform ultimate boundedness, which also satisfies the spatial constraint and the bidirectional restriction for the spacing error. Moreover, an optimized design scheme for the tunable parameter of this controller is proposed, which minimizes the control cost and comprehensive index of system performance. Finally, numerical simulations are given to illustrate the effectiveness of the proposed methods.

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