摘要
在无速度传感器矢量控制系统中,为实现对永磁同步电机的精确控制,需要对电机参数进行在线辨识。在对模型参考自适应方法进行深入分析的基础上,提出一种基于级联模型参考自适应的永磁同步电机参数在线辨识方法,该方法在同步旋转dq坐标系下,利用dq轴电压、电流及其偏差,借助Popov超稳定性理论建立参数的辨识模型,并推导出待辨识参数的自适应律,实现了电机转子速度、定子电阻与转子磁链的同时在线辨识。仿真结果验证了该方法的正确性和有效性。
Motor parameters should be on-line estimated to realize precise control of PMSM in sensorless vector control system. With the deep analysis of MRAS, an on-line identification method for motor parameters based on cascade MRAS was proposed. By means ofPopov＇s hyper-stability theory, the model of motor parameters identification was built in synchronous dq coordinates, and PMSM d, q-axis voltage, current and their errors were used to obtain the adaptive laws of motor parameters, and it was realizable to estimate rotor speed, stator resistance and rotor flux at the same time. The simulation results demonstrate the correctness and efficiency of the proposed method.
出处
《电气传动》
北大核心
2015年第4期19-24,共6页
Electric Drive
基金
国家自然科学基金项目(51307139)
高等学校博士学科点专项科研基金资助项目(20126118120010)
关键词
永磁同步电机
级联
模型参考自适应
矢量控制
参数辨识
permanent magnet synchronous motor（PMSM）
cascade
model reference adaptive scheme （MRAS）
vector control
parameter identification
