关键词: 永磁同步电机, 有限时间跟踪, 动态面控制, 神经网络

Abstract: According to the nonlinear characteristics of the permanent magnet synchronous motor, a permanent magnet synchronous motor finite time dynamic surface position tracking control method was studied. The dynamic surface technology was introduced to solve the "computational explosion" problem in the traditional motor backstepping control. Neural network was used to approximate the nonlinear terms in the system. The finite time was used to improve the convergence speed of the system. The control effect and the anti-interference ability of the system were improved. The simulation results show that the control method can complete the position tracking control of permanent magnet synchronous motor.

Key words: permanent magnet synchronous motor (PMSM), finite time tracking, dynamic surface control, neural network