高速列车分段动态自适应位置跟踪控制

Zehui Mao, G. Tao, B. Jiang, Xing-gang Yan
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引用次数: 4

摘要

研究了运动动力学中具有时变阻力和质量的高速列车自适应位置跟踪控制问题。为了处理这些时变参数的分段常数特性,针对不同的列车运行工况,引入了一种参数未知的分段常数模型。构造了一种集成的自适应控制器结构,能够实现已知参数下的植物模型匹配和未知参数下的系统参数化,从而实现自适应跟踪控制。针对列车位置跟踪的要求,具体选择了参考模型系统。设计了稳定自适应律,用于在系统参数未知的情况下更新自适应控制器参数。证明了系统的闭环稳定性和渐近状态跟踪。最后给出了高速列车模型的仿真结果,说明了所期望的自适应位置跟踪控制性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive position tracking control of high-speed trains with piecewise dynamics
This paper addresses the adaptive position tracking 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 characteristics, a piecewise constant model with unknown parameters is introduced 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.
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