摘要
为了实现永磁同步电动机参数的在线实时估算,提出了一种在同一模型中对电阻、电感和永磁磁链进行辨识的自适应辨识方法。该方法在同步旋转的d-q坐标系下,利用d轴和q轴的电压、电流及其偏差,借助Popov超稳定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,保证了特定条件下系统的稳定性和参数的收敛性。仿真和实验结果证明了该方法的有效性。
In order to estimate parameters of permanent magnet synchronous motor （PMSM） on-line and real-time, an adaptive on-line identification method for motor parameters is proposed. Resistance, inductance and PM flux of PMSM are achieved at the same time in the presented model. By means of Popov＇s hyper-stability theory, the model of parameter identification is built in the rotor reference frame. And, PMSM d, q-axis voltage, current and their errors are used to obtain the adaptive laws of parameters. Popov＇s hyper-stability theory guarantees stability of the system and convergence of the estimated parameters under certain conditions. The simulation and experimental results illustrate the validity and efficiency of the proposed method.
出处
《电工技术学报》
EI
CSCD
北大核心
2008年第6期31-36,共6页
Transactions of China Electrotechnical Society
基金
国家自然科学基金资助项目(50477009)
