摘要
在永磁同步电动机直接转矩控制系统中根据电磁转矩和定子磁链误差选择合适的定子电压矢量,因此必须对定子磁链进行估计。针对传统定子磁链计算中存在的受定子电阻和反电动势积分影响等问题,研究了扩展卡尔曼滤波在永磁同步电动机定子磁链估计中的应用。建立了以定子电流,转子速度和转子位置为状态变量的扩展卡尔曼滤波估计器,进而利用永磁同步电动机的电流模型计算定子磁链。同时,在大量仿真实验基础上,总结协方差矩阵参数对系统性能的影响。实验结果表明所提出的算法不仅能准确估计速度、转子位置和定子磁链,并且对电机参数具有很强的鲁棒性。
The change of the stator flux linkage vector depend on torque and stator flux errors,so stator flux estimation is an indispensable part of direct torque control（ DTC） system of permanent magnet synchronous motor（ PMSM）. Extended Kalman filter（ EKF） was studied to sove problems of low robustness with stator resistance and integration of back electromotive force in conventional stator flux estimation.And EKF estimator was established by taking the stator current,rotor speed and rotor position as state variable,and then,the value of stator flux was calculated based on the current model of PMSM. Still,the effect on system performance of the EKF covariance matrices was mentioned based on lots of simulations. The results indicate that the proposed method not only do well in speed,rotor position and stator flux linkage estimation,but also has robust to motor parameters.
出处
《电机与控制学报》
EI
CSCD
北大核心
2016年第3期29-35,42,共8页
Electric Machines and Control
基金
中央高校基础科研项目(N100304008)
关键词
永磁同步电机
无传感器控制
扩展卡尔曼滤波
直接转矩控制
EKF协方差矩阵参数选取
permanent magnet synchronous motor
sensorless control
extended Kalman filter
direct torque control
choice of the extended Kalman filter covariance matrices
