The invention discloses a high-speed train operation control method based on an adaptive neural network. The method comprises the steps that a longitudinal dynamic model of a high-speed train is established, the speed and acceleration states of the train are observed in real time through a high-order sliding mode observer, the unknown system dynamic state is recognized in combination with the neural network, and the dynamic approximation precision is improved. And by utilizing a self-adaptive output feedback controller and combining the observed train state and the approached unknown dynamic state, the accurate tracking control of the train displacement and speed is realized. According to the controller, the accumulation of parameter estimation errors is inhibited by introducing a leakage item, and the adaptability of a train to uncertainty is enhanced. The control method provided by the invention can effectively improve the running stability and trajectory tracking precision of the train, and ensures the safe and reliable running of the train under unknown dynamic interference.
本发明公开了一种基于自适应神经网络的高速列车运行控制方法,该方法包括:建立高速列车的纵向动力学模型,通过高阶滑模观测器实时观测列车的速度和加速度状态,结合神经网络识别未知系统动态,提高动态逼近精度。利用自适应输出反馈控制器,结合观察到的列车状态和逼近的未知动态,实现列车位移和速度的精确跟踪控制。该控制器通过引入泄漏项,抑制了参数估计误差的累积,并增强了列车对不确定性的适应性。本发明提出的控制方法能够有效提高列车运行的稳定性和轨迹跟踪精度,并确保列车在未知动态干扰下的安全可靠运行。
High-speed train operation control method based on adaptive neural network
一种基于自适应神经网络的高速列车运行控制方法
2025-04-04
Patent
Electronic Resource
Chinese
IPC: | B61L Leiten des Eisenbahnverkehrs , GUIDING RAILWAY TRAFFIC / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G05B Steuer- oder Regelsysteme allgemein , CONTROL OR REGULATING SYSTEMS IN GENERAL / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung |
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