Adaptive position tracking control of high-speed trains with piecewise dynamics

Mao, Zehui and Tao, Gang and Jiang, Bin and Yan, Xinggang (2017) Adaptive position tracking control of high-speed trains with piecewise dynamics. In: 2017 American Control Conference, 24-26 May 2017, Seattle, USA. (doi: (Full text available)

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This paper addresses the adaptive position track-ing control problem for high-speed trains with time-varying resistances and mass in the motion dynamics. To handel these time-varying parameters with piecewise constant characteris-tics, a piecewise constant model with unknown parameters is in-troduced for different train operation conditions. An integrated adaptive controller structure is constructed to have the capacity to achieve plant-model matching with known parameters and complete system parametrization with unknown parameters, which is desirable for adaptive tracking control. For the train position tracking requirement, the reference model system is specifically chosen. Stable adaptive laws are designed to update the adaptive controller parameters in the presence of the unknown piecewise constant system parameters. Closed-loop stability and asymptotic state tracking are proved. Simulation results on a high-speed train model are presented to illustrate the desired adaptive position tracking control performance.

Item Type: Conference or workshop item (Paper)
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Xinggang Yan
Date Deposited: 16 Feb 2017 10:51 UTC
Last Modified: 13 Sep 2017 09:05 UTC
Resource URI: (The current URI for this page, for reference purposes)
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