Liu Xiaoyu, Xun Jing, Ning Bin, Wang Cheng
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, China.
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, China.
ISA Trans. 2021 May;111:171-179. doi: 10.1016/j.isatra.2020.10.059. Epub 2020 Nov 2.
Automatic train stop control (ATSC) is a key function of the automatic train operation (ATO) system. An accurate braking process model can help to improve the control strategy. In this paper, the braking process for stop control of high-speed trains is formulated as a single-point time delay model, based on the principle of practical braking processes. Furthermore, a Picard iteration based identification method is first applied to the time delay system, and a train braking process identification method is proposed. The method is straightforward, and the parameters can be identified based on the principle of ordinary differential equations. The effectiveness of the braking process model and the identification method is illustrated by real-life experimental data.
列车自动停车控制（ATSC）是列车自动运行（ATO）系统的一项关键功能。精确的制动过程模型有助于改进控制策略。本文基于实际制动过程原理，将高速列车停车控制的制动过程表述为单点时滞模型。此外，首次将基于皮卡德迭代的辨识方法应用于时滞系统，提出了一种列车制动过程辨识方法。该方法简单明了，可基于常微分方程原理辨识参数。实际试验数据验证了制动过程模型和辨识方法的有效性。
