摘要
在永磁同步电动机(PMSM)的速度控制中,其位置和速度的精度、实时性受到传感器精度的限制。文章在对永磁同步电动机在α-β坐标系下的非线性数学模型进行线性化的基础上,应用扩展卡尔曼滤波器(EKF)来替代电机的角位置与速度传感器,最后通过Matlab/Simulink.仿真平台建立了基于EKF状态估计器的无传感器矢量控制系统。仿真结果表明所提出的控制方法无论在PMSM空载和负载时,均保持较好的跟踪性能,具有良好的转子位置和转速在线估算能力。
During the speed control of permanent magnet synchronous motor（ PM SM）,the accuracy and real-time are limited by the precision of the sensor. Based on the linearization of nonlinear equation of PM SM driver in α-β coordinate system,The extended Kalman filter（ EKF） ＇s basic principle and recursion method are studied in detail. And then EKF replaces the angular position of the motor and speed sensor. Finally the sensorless vector control system of the EKF state estimator is established on Matlab/Simulink simulation platform. The simulation results showthat the proposed control method maintains good tracking performance and has a good estimated ability of rotor position and speed online whether the PM SM with load or not.
出处
《组合机床与自动化加工技术》
北大核心
2015年第3期121-123,128,共4页
Modular Machine Tool & Automatic Manufacturing Technique
基金
唐山市应用基础研究项目(13110207b)
