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EKF-based Sensorless Vector Control System of Permanent Magnet Synchronous Motor

机译:基于EKF的永磁同步电动机无传感器矢量控制系统

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As the incomparable advantages, permanent magnetic synchronous motor (PMSM) has been used widely in servo system, numerical control machine. The paper introduces an EKF (extended Kalman filter)-based sensorless vector control system of permanent magnet synchronous motor. The rotorfield-oriented control strategy based on id=0 is selected. After expounding the principle of EKF and recursion algorithm, it derives the Kalman state equation in PMSM rest coordinate, makes a discretization processing, and constructs vector control system based on EKF estimator. The simulation model of vector control system of PMSM with MATLAB/Simulink is built and on this basis, it observes the position and speed of the motor rotor by the use of the EKF estimator. Simulation results demonstrate the EKF estimator can accurate estimates of the PMSM rotor position and speed.
机译:作为无与伦比的优点,永磁同步电机(PMSM)已广泛用于伺服系统,数控机器。本文介绍了永磁同步电动机的eKF(扩展卡尔曼滤波器)基于无传感器矢量控制系统。选择基于ID = 0的旋翼面向控制策略。在阐述EKF和递归算法的原理之后,它导出了PMSM REST坐标中的卡尔曼状态方程,进行了基于EKF估计器的离散化处理,构建矢量控制系统。用MATLAB / Simulink的PMSM矢量控制系统的仿真模型建立在此基础上,它通过使用EKF估计来观察电动机转子的位置和速度。仿真结果证明了EKF估计器可以准确估计PMSM转子位置和速度。

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