基于改进的扩展卡尔曼滤波伺服系统建模技术研究

研究永磁同步电机系统建模技术问题。传统的建模技术在对系统进行建模时,由于算法复杂度较高,不利于实时控制系统,提出一种新的基于卡尔曼滤波技术构建速度观测器替代位置传感器;卡尔曼滤波技术适用于线性控制场合,针对PMSM的非线性特性,改进卡尔曼滤波算法为扩展卡尔曼滤波算法。仿真实验结果表明,利用扩展卡尔曼滤波算法构建的速度观测器准确度高,是一种有效的伺服系统建模方法。

Modeling of PMSM servo system based on EKF

The permanent magnet synchronous motor has the advantage of high control accuracy, stable operation and high reliability etc, but depends on sensors with high precision, so sensorless technology became the hot spot as well as a difficulty in this field. This paper firstly focused on comparative study of existing algorithm, and with consideration of shortage of the exis-ting algorithm, proposed a method based on the Kalman filter technology to model speed observer replacing of position sensor, which was appropriate for linear control occasion. In view of characteristics of nonlinear of PMSM,transformed Kalman filter algorithm into EKF.The simulation shows that the proposed method has high precision.