提出一种非线性神经网络自适应反步控制方法来提高电励磁直线同步电动机（EELSM）磁悬浮控制系统的性能。研究EELSM的结构及其运行机理；建立EELSM磁悬浮系统的状态方程与数学模型；为克服EELSM磁悬浮平台运行过程中存在的不确定性扰动，设计了非线性神经网络自适应反步控制器对扰动进行估计，通过构造Lyapunov函数证明系统的稳定性。用MATLAB软件对控制系统进行计算机仿真，仿真结果验证所提方法的有效性。

A nonlinear neural network adaptive backstepping control method is proposed to improve the performance of the magnetic levitation control system of the electrically excited linear synchronous motor (EELSM). The structure and operation mechanism of EELSM are studied. The state equation and mathematical model of EELSM magnetic levitation system are established. In order to overcome the uncertain disturbance existing in the operation of EELSM magnetic levitation platform, a nonlinear neural network adaptive backstepping controller is designed to estimate the disturbance. The stability of the system is proved by constructing the Lyapunov function. The MATLAB software is used to perform computer simulation on the control system, and the simulation results verify the effectiveness of the proposed method.

国家自然科学基金项目 (51575363)