Modified P-Type ILC for High-Speed Trains with Varying Trial Lengths

Qiongxia Yu, Xuhui Bu, R. Chi, Z. Hou
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引用次数: 4

Abstract

High-speed trains always operate from the same departure station to the same terminal station and hence iterative learning control (ILC) is an appropriate approach for automatic train control. However, due to complex environment and unknown uncertainties, the train may not arrive at the terminal station on time, or earlier and later than the schedule time in each operation. To address this problem, a modified proportional-type (P-type) ILC is presented where the trial length in each operation can be randomly varying. Moreover, the convergence condition in 2-norm is also derived through rigorous analysis. The effectiveness of the modified P-type ILC is further verified through simulations.
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改变试验长度的高速列车改进p型ILC
高速列车总是从同一始发站运行到同一终点站,因此迭代学习控制(ILC)是一种合适的列车自动控制方法。然而,由于环境的复杂和未知的不确定性,列车在每次运行中可能无法按时到达终点站,也可能早于或晚于预定时间。为了解决这个问题,提出了一种改进的比例型(p型)ILC,其中每个操作的试验长度可以随机变化。此外,通过严格的分析,还得到了2范数下的收敛条件。通过仿真进一步验证了改进的p型ILC的有效性。
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