电机与控制应用2024，Vol.51Issue(7)：21-32,12.DOI:10.12177/emca.2024.061
基于增量模型的PMSM鲁棒性模型预测控制算法研究
Research on Robust Model Predictive Control Method of PMSM Based on Incremental Model
张超硕 1储剑波1
作者信息
- 1. 南京航空航天大学自动化学院,江苏南京 211106
- 折叠
摘要
Abstract
The model predictive current control(MPCC)strategy for permanent magnet synchronous motor has been widely used because of its good dynamic performance,but the strategy is more dependent on the accuracy of model parameters.In order to improve the parameter robustness of the system while maintaining the dynamic performance of the control system,a three-vector based incremental MPCC strategy is proposed.A model reference adaptive inductance identification algorithm based on d-axis current is introduced in MPCC,and the adaptive law is analyzed.Simulations based on Matlab/Simulink are carried out,the results show that the proposed strategy can achieve the reduction of the prediction error caused by the mismatch of flux linkage parameters while maintaining the dynamic performance of the three-vector predictive control.In addition,the model reference adaptive algorithm based on d-axis current can perform fast and stable inductor parameter identification,which effectively improves the parameter robustness of the control system.关键词
永磁同步电机/模型预测电流控制/增量模型/参数失配/模型参考自适应Key words
permanent magnet synchronous motor/model predictive current control/incremental model/parameter mismatch/model reference adaptive分类
信息技术与安全科学引用本文复制引用
张超硕,储剑波..基于增量模型的PMSM鲁棒性模型预测控制算法研究[J].电机与控制应用,2024,51(7):21-32,12.
