Dynamic surface method–based adaptive backstepping control for the permanent magnet synchronous motor on parameter identification. (October 2019)

• Record Type: Journal Article
• Authors: Wang, Xuejian; Chen, Yong; Lu, Youliang; Li, Xu; He, Wen
• Is Part Of: Proceedings of the Institution of Mechanical Engineers. Volume 233:Number 9(2019)
• Page Start: 1172
• Page End: 1181
• Publication Date: 2019-10
• Subjects: Adaptive backstepping control -- parameter identification -- permanent magnet synchronous motor -- Lyapunov's stability; Mechanical engineering -- Periodicals; Automatic control -- Periodicals; Systems engineering -- Periodicals; 621.3
• DOI: 10.1177/0959651818819237
• Languages: English
• ISSNs: 0959-6518

Abstract

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.