The invention relates to a levitation system control method for a maglev train. The method specifically comprises the following steps: constructing a second-order sliding mode surface based on a levitation control kinetic model of the maglev train, and introducing a nonlinear bounded function which is related to a positioning error signal and is approached by an online real-time training neural network to obtain a final sliding mode variable structure control law model for constructing a maglev controller of a levitation system; and inputting set levitation system physical parameters into themaglev controller, wherein the maglev controller acquires gap data between a track and a vehicle body in real time and then outputs a control signal; and peripheral hardware of the levitation system drives a levitation electromagnet to move to a target position within limited time after receiving the control signal. Compared with the prior art, the method can achieve random approximation of uncertain working model parameters in practice, improves adaptability of the controller to various environments, and finally improves the control stability of the levitation system.
本发明涉及一种用于磁悬浮列车的悬浮系统控制方法,具体包括以下步骤:基于磁悬浮列车的悬浮控制动力学模型构造二阶滑模面,并且引入与定位误差信号相关的、在线实时训练神经网络逼近的非线性有界函数,得到最终滑模变结构控制律模型,用于构建悬浮系统的磁悬浮控制器;磁悬浮控制器中输入设定的悬浮系统物理参数;磁悬浮控制器实时获取轨道和车体间的间隙数据后输出控制信号;悬浮系统的外围硬件接收控制信号后驱动悬浮电磁铁在有限时间内移动到目标位置。与现有技术相比,本发明能够实现对实际中不确定的工作模型参数进行任意逼近,提高控制器对多样环境的适应性,最终提高了悬浮系统控制的稳定性。
Levitation system control method for maglev train
一种用于磁悬浮列车的悬浮系统控制方法
2020-10-23
Patent
Electronic Resource
Chinese
IPC: | B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen |
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