机构地区: 西北工业大学
出 处: 《微特电机》 2012年第7期19-22,共4页
摘 要: 针对永磁同步电动机在运行中电机的电磁参数的改变,通过对永磁同步电动机稳态数学模型的推导,利用扩展卡尔曼滤波对电机的电阻、电感进行在线辨识。在MATLAB/Simulink中搭建辨识模型进行分析比较,验证该方法可以准确地辨识出电阻、电感的值。仿真结果表明,扩展卡尔曼滤波具有快速的收敛性,能够很好地跟随电机参数的变化,应用参数辨识技术可以有效地改善永磁同步电动机控制性能。 For the change of the electromagnetic parameters of the running PMSM, the extended Kalman filter and the deduction of the steady-state model of PMSM were used to identify the resistance and inductance of the motor online. The accuracy was proved by the comparison and analysis in MATLAB/Simulink. The simulation results demonstrate that the electromagnetic parameters are tracked by the extend Kalman filter, and the effectiveness and robustness of PMSM control system are improved by the implementation of parameter identification.
关 键 词: 永磁同步电动机 参数在线辨识 扩展卡尔曼滤波 仿真
领 域: [电气工程]