[关键词]
[摘要]
在永磁同步电机运行过程中,电机参数时变使得电流预测控制器的模型参数和实际电机参数不匹配,导致其控制性能下降。提出了基于模型参考自适应系统(MRAS)的改进电流预测控制方法,利用旋转坐标系下d、q轴电流方程作为参考模型,基于Popov超稳定理论构建永磁同步电机的电感和磁链在线辨识系统,将得到的辨识参数应用于电流预测控制模型中,实现控制模型参数的在线更新。分析与仿真结果表明该方法能够有效地提升在电机参数变化下的电流预测控制性能。
[Key word]
[Abstract]
During the operation of permanent magnet synchronous motor (PMSM), parameter mismatches caused by timevarying 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, qaxis current equation in the rotating coordinate system was utilized as a reference model in this method. Based on Popov’s hyperstability 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.
[中图分类号]
TM 351
[基金项目]