电机与控制应用2017，Vol.44Issue(7)：48-53,6.
基于模型参考自适应参数辨识的永磁同步电机电流预测控制
Predictive Current Control for Permanent Magnet Synchronous Motor Based on Model Reference Adaptive System Parameter Identification
汪琦 1王爽 1付俊永 1李永贵 1冯坚栋1
作者信息
- 1. 上海大学机电工程与自动化学院,上海200072
- 折叠
摘要
Abstract
During the operation of permanent magnet synchronous motor (PMSM),parameter mismatches caused by time-varying motor parameters between real motor and model in predictive current controller lead to the degradation of the control performance.Presented an improved predictive current control method based on the model reference adaptive system (MRAS).d,q-axis current equation in the rotating coordinate system was utilized as a reference model in this method.Based on Popov's hyper-stability theory,online identification system of inductance and flux for PMSM was established.The identification parameters obtained were used in the predictive current control model,thus online updating of the control model parameters was achieved.Analysis and simulation results showed that this method efficiently improved the performance of predictive current control under the motor parameters change.关键词
永磁同步电机/电流预测控制/辨识参数/模型参考自适应Key words
permanent magnet synchronous motor (PMSM)/predictive current control/identification parameter/model reference adaptive system (MRAS)分类
信息技术与安全科学引用本文复制引用
汪琦,王爽,付俊永,李永贵,冯坚栋..基于模型参考自适应参数辨识的永磁同步电机电流预测控制[J].电机与控制应用,2017,44(7):48-53,6.
