Flux-weakening control of permanent magnet synchronous motors based on virtual impedance

被引：0
|
作者：
Chi S. [1 ,2 ]
Liu C. [1 ,2 ]
Li X. [1 ,2 ]
Wu S. [1 ,2 ]
机构：
[1] State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin
[2] Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province, Hebei University of Technology, Tianjin
来源：
Dianji yu Kongzhi Xuebao/Electric Machines and Control | 2020年 / 24卷 / 11期
关键词：
Flux-weakening control; Permanent magnet synchronous motors; Single current regulator; Virtual impedance;
D O I：
10.15938/j.emc.2020.11.002
中图分类号：
学科分类号：
摘要：
The flux-weakening control algorithm based on single current regulator is a flux-weakening control strategy for Permanent Magnet Synchronous Motors(PMSM). The algorithm utilizes the cross-coupling effect of d-axis and q-axis current component of the stator current of PMSM, and simultaneously controls the torque and the flux of the PMSM by giving the reference voltage value. It is easy to control the algorithm which is fast in dynamic response, but it can't fully utilize the DC side voltage of the inverter, resulting in narrowing of the speed regulation range of the motor, which reduces the efficiency of the PMSM. The concept of virtual impedance was introduced on the basis of the traditional flux-weakening control of the single current regulator to solve the problem of narrowing of the speed regulation range. A new method of giving the q-axis voltage was proposed. The current track was presented according to the steady-state operating point, and then an expression of the q-axis voltage was obtained according to the control algorithm of the single current regulator, which solves the shortcomings of the q-axis voltage value directly given based on experience in the traditional single current regulator flux-weakening control algorithm and improves the efficiency of the motor. Simulation and experimental results verify feasibility and effectiveness of the proposed algorithm. © 2020, Harbin University of Science and Technology Publication. All right reserved.
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页码：9 / 15
页数：6
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