The invention relates to the technical field of train control, in particular to a full-stage track iterative learning control method for a multi-mass-point high-speed train. Comprising the following steps: describing dynamic behaviors of a high-speed train based on a multi-particle model of the high-speed train, and establishing a kinetic model of the train; introducing an iterative learning control strategy based on the dynamic model and the control target; the tracking error of the train speed in the iteration process is defined; the dynamic behavior of the tracking error is analyzed, dynamic behavior data are obtained, accurate trajectory tracking control of the high-speed train in different operation stages is completed, and the trajectory tracking accuracy and control stability of the high-speed train in the complex operation environment are improved in the mode.
本发明涉及列车控制技术领域,具体涉及一种多质点高速列车全阶段轨迹迭代学习控制方法;包括如下步骤:基于高速列车的多质点模型对其动态行为进行描述,建立列车的动力学模型;基于动力学模型和控制目标,引入迭代学习控制策略;定义迭代过程中列车速度的跟踪误差;对跟踪误差的动态行为进行分析,获取动态行为数据,完成高速列车在不同运行阶段的精确轨迹跟踪控制,通过上述方式,实现提高高速列车在复杂运行环境中轨迹跟踪精度和控制稳定性。
Multi-mass-point high-speed train full-stage track iterative learning control method
一种多质点高速列车全阶段轨迹迭代学习控制方法
04.04.2025
Patent
Elektronische Ressource
Chinesisch
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