Dynamic surface method-based adaptive backstepping control for the permanent magnet synchronous motor on parameter identification

Aiming at the problem of rotor inertia uncertainty and load torque disturbance of the permanent magnet synchronous motor control system, this article proposes an adaptive backstepping speed control strategy for the permanent magnet synchronous motor based on parameter identification. First, an online identification method of rotor inertia based on disturbance observer is designed. Furthermore, to solve the problem of the external load torque disturbance, combined with the identified rotor inertia, the load torque adaptive law and backstepping control law are designed according to Lyapunov's stability theorem, in which the derivation of the virtual control law is calculated by dynamic surface control. Finally, simulation and experiment on MATLAB and dSPACE platform are accomplished to show the effectiveness of the proposed method.