Research on control strategy of permanent magnet synchronous motor based on improved MRAS. (21st July 2022)

• Record Type: Journal Article
• Authors: Zhang, Haigang; Chen, Xuan; Liu, Piao; Zhao, Decheng; Wang, Bulai
• Is Part Of: International journal of information and communication technology. Volume 21:Number 2(2022)
• Page Start: 154
• Page End: 169
• Publication Date: 2022-07-21
• Subjects: limited memory least square method -- parameter identification -- PMSM -- model reference adaptation system; Information technology -- Periodicals; Computer science -- Periodicals; Telecommunication -- Periodicals; 004.05
• Languages: English
• ISSNs: 1466-6642

Abstract

The identification of internal parameters of PMSM has become a research hotspot in PMSM control system. In this paper, a limited memory least squares identification module is configured inside the traditional model reference adaptive system to identify the parameters of the stator resistance R *, the stator inductance L s * and the rotor flux chain ϕ f * of the permanent magnet synchronous motor. This method improves the accuracy and speed of identification. The real-time update of the nonlinear variables of the adjustable model improves the accuracy of the speed estimation ω e * and reduces the error of calculating the rotation angle and speed. Finally, the proposed method is validated by using MATLAB/Simulink. The results show that the improved model reference adaptive control strategy based on the limited memory least squares identification algorithm reduces the steady-state error. The dynamic performance and control accuracy are improved to some extent compared with the traditional model reference adaptive control method.