控制理论(社会学)
自动驾驶仪
人工神经网络
控制器(灌溉)
滑模控制
计算机科学
电子速度控制
弹道
非线性系统
过程(计算)
模式(计算机接口)
跟踪(教育)
控制工程
工程类
人工智能
控制(管理)
心理学
农学
教育学
物理
电气工程
量子力学
天文
生物
操作系统
作者
Junting Lin,Huadian Liang
标识
DOI:10.1109/itsc55140.2022.9922448
摘要
Aiming at the problem of accurate tracking control of high-speed train autopilot system under complex operation environment, a neural network sliding mode equivalent controller is designed based on the single point dynamic model of the train. Using the real-time state deviation in the process of train operation, an equivalent controller based on sliding mode theory is designed. The neural network switching controller is designed to suppress the inherent chattering of sliding mode control and compensate for the influence of external nonlinear factors in the process of train operation. The results show that the controller can track the reference trajectory accurately when considering the additional resistance and external disturbance.
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