PMSM Current Robust Incremental Predictive Control

被引：0
|
作者：
Zhang S. [1 ]
Sun Y. [1 ]
Zhao M. [1 ]
Zhou Y. [1 ]
机构：
[1] School of Mechanical Engineering, Beijing Institute of Technology, Beijing
来源：
Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology | 2022年 / 42卷 / 10期
关键词：
current predictive control; deadbeat predictive current control (DPCC); incremental model; Luenberger observer; permanent magnet synchronous motor(PMSM);
D O I：
10.15918/j.tbit1001-0645.2021.296
中图分类号：
学科分类号：
摘要：
The traditional deadbeat current predictive control of permanent magnet synchronous motor heavily depends on motor parameters, causing the control performance degraded seriously, the current unconformity and harmonic content increase with motor parameter change. To solve the problem of parameter disturbance in the traditional deadbeat current predictive control, a deadbeat predictive current control (DPCC) method was proposed based on the incremental model of Luenberger observer. Firstly, based on the original deadbeat current predictive control model, an incremental model was derived to eliminate the influence of flux linkage change in current predictive control. Secondly, in order to eliminate the influence of inductance change on the effect of current predictive control, the Luenberger observer was introduced and an incremental model with Luenberger observer was established. Finally, the effectiveness of the proposed method was verified by Simulink simulation and experiments. © 2022 Beijing Institute of Technology. All rights reserved.
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页码：1073 / 1079
页数：6
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