无位置传感器内置式永磁同步电机参数的在线辨识方法

Online parameters identification for sensorless control of IPMSM

在传统永磁同步电机无位置传感器控制中,电机参数决定了转子位置的估计精度,而电机参数又很容易受到外部环境的变化,导致控制性能的下降.提出了一种基于内置式永磁同步电机电流状态方程的电机参数的在线辨识方法,该方法采用仿射投影算法对参数进行估计,可以准确估计定子电阻、转子磁链、直轴电感和交轴电感.由于定子电阻和转子磁链与定子电感随外界环境的变化率不同,所以采用两种不同的中断周期分别对定子电阻、交轴电感、直轴电感和转子磁链进行辨识.可以在保证辨识精度的情况下大大减少不必要的计算,提高了该算法在实际应用中的效率.针对传统的模型参考自适应算法速度估算的收敛速度较慢的缺点,提出了改进的基于电流自适应状态观测器的转子位置和速度估计方法,提高了速度辨识的收敛速度,减小了稳态误差.实验结果表明:电机参数的在线辨识方法能够对电机参数进行准确辨识,具有稳定性好和良好的动态性能.

In the sensorless control of the traditional permanent magnet synchronous motor, the motor parameters determine the accuracy of the rotor position estimation, and the motor parameters are easily changed by the external environment, resulting in the decrease of the control performance. In this paper, an on line identification method of motor parameters based on Interior Permanent Magnet Synchronous Motor （IPMSM） is presented, and the parameters are estimated by affine projection algorithm, which can accurately estimate the stator resistance, rotor flux, straight shaft inductance and cross axis inductance. As the variation rate of stator resistance and rotor flux and stator inductance varies with the external environment, two different interrupt cycles are used to identify stator resistance and rotor flux and stator inductance,which can greatly reduce unnecessary calculation and improve the efficiency of the algorithm in practical application. Aiming at the disadvantage of the slow convergence speed estimation of the traditional model reference adaptive algorithm, an improved rotor position and velocity estimation method based on the current adaptive state observer is proposed,which improves the speed identific gence speed and reduces the steady state error. The experimental results show that dentification good stabilit method of motor parameters can accurately identify the motor parameters, and has y and dynamic performance.