Deadbeat predictive current control of high speed permanent magnet motor based on online parameter identification

被引：0
|
作者：
Liu G. [1 ]
Zhang J. [1 ,2 ]
Zheng S. [1 ,2 ]
Mao K. [1 ,2 ]
机构：
[1] Science and Technology on Inertial Laboratory, Beihang University, Beijing
[2] Ningbo Innovation Research Institute, Beihang University, Ningbo
来源：
Dianji yu Kongzhi Xuebao/Electric Machines and Control | 2023年 / 27卷 / 09期
关键词：
deadbeat predictive current control; high speed permanent magnet synchronous motor; multi parameter online identification; neuron; sensorless control; total least squares algorithm;
D O I：
10.15938/j.emc.2023.09.011
中图分类号：
学科分类号：
摘要：
During the high-speed operation of sensorless surface-mounted permanent magnet synchronous motor (SPMSM), the perturbation of electrical parameters affects the performance of current loop and the accuracy of rotor position estimation. Therefore, a deadbeat predictive current control (DPCC) method for sensorless high speed permanent magnet motor based on parameter identification was proposed. Firstly, combined with the characteristics of permanent magnet motor control system, DPCC was adopted to improve the dynamic performance of the current loop controller. Besides, the parameter sensitivity of DPCC was analyzed. Secondly, in order to solve the rank deficient problem, a total least square (TLS) method based on neuron iterative solution was used to identify the inductance, resistance and permanent magnet flux linkage on-line and step by step. Finally, the identification results were used to update the parameters of deadbeat predictive current controller and sliding mode observer. The experimental results show that DPCC method of sensorless high-speed permanent magnet motor based on parameter identification can effectively improve the steady state performance of current loop controller and the accuracy of rotor position estimation. © 2023 Editorial Department of Electric Machines and Control. All rights reserved.
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页码：98 / 108
页数：10
相关论文
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