基于模型预测MRAS的PMSM转子位置检测  

Rotor Position Measurement for PMSM Based on Model Predictive MRAS Estimator

作　　者：王孟[1] 尹华杰[1] 

机构地区：[1]华南理工大学电力学院,广州510641

出　　处：《微电机》2017年第8期48-52,共5页Micromotors

基　　金：国家自然科学基金(51577074)

摘　　要：提出了一种基于模型预测模型参考自适应(MRAS)的永磁同步电机转子位置观测器,它将电流法估算的定子磁链作为参考模型,电压法估算的定子磁链作为可调模型,磁链误差作为代价函数,通过预测控制搜索寻优的算法寻找最优转子位置,取代了传统MRAS中采用PI控制器作为自适应率的做法。该方案不仅省去了MRAS中PI参数调整的麻烦,而且提高了检测出的转子位置的精确性。在Matlab/Simulink环境下搭建仿真模型,仿真结果表明:该方法能提高模型参考自适应观测器对具有宽广调速范围的永磁同步电机转子位置检测的精度,转速更平滑,具有优越性和较高的可行性。This paper presented a kind of rotor position observer for permanent magnet synchronous motors （PMSM） which was model predictive model reference adaptive system （MRAS）. In this method, estimated stator flux model by the current was considered as reference while estimated stator flux model by the voltage was regarded as adjustable model, the flux linkage error was considered as the cost function. An optimization scheme was formulated to find the rotor position in order to minimize a cost function. It replaced the PI con- troller which was employed in adaption mechanism of MRAS estimators. This method not only eliminated the need for PI controller to adjust, but also improved the precision of rotor position. The simulation model in Matlab/Simulink environment was established, and the simulation results proved that the proposed method improved the precision of rotor position under the conditions of high or low speed, the oscillation in the estimated speed was reduced significantly, with a high superiority and feasibility.

关 键 词：永磁同步电机 模型参考自适应 模型预测控制 转子位置 

分 类 号：TM351[电气工程—电机] TM341