摘要
传统的扩展卡尔曼滤波算法已被广泛应用于永磁同步电机无位置传感器控制系统中,该方法具有良好的动态性能,但在电机启动和低速运行时,对转子速度和位置的估计精度较低.为了解决这一问题,本文设计一种将扩展卡尔曼滤波算法与高频信号注入法相结合的复合检测方法,中高速时采用卡尔曼滤波法,零速和低速时采用高频信号注入法,而过渡区设计特殊的算法,将两种方法进行融合,实现全速域内无位置传感器高精度控制.仿真结果证明,基于该复合式检测算法的永磁同步电机无位置传感器矢量控制系统具有动态调节速度快,鲁棒性好等优点.
The traditional extended Kalman filter algorithm has been widely used in permanent magnet synchronous motor position sensorless control system.This method has good dynamic performance,but its estimation accuracy of rotor speed and position is low,when the motor starts and runs at low speed.In order to solve this problem,this paper designs a composite detection method that combines the extended Kalman filter algorithm with high-frequency signal injection method.The Kalman filter method is used in medium and high speed,and the high frequency signal injection method is applied to zero speed and low speed.The transition area is designed with a special algorithm that merges the two methods to achieve high-precision control in the full-speed domain.Finally,the simulation results show that the permanent magnet synchronous motor sensorless vector control system based on this hybrid detection algorithm has the advantages of fast dynamic adjustment,good robustness and so on.
作者
张震
沈学珂
程欣
ZHANG Zhen;SHEN Xueke;CHENG Xin(School of Electric Engineering,Zhengzhou University,Zhengzhou 450001,China)
出处
《郑州大学学报(工学版)》
CAS
北大核心
2019年第2期35-40,共6页
Journal of Zhengzhou University(Engineering Science)
基金
河南省科技攻关项目(152102210032)
省林业信息化十三五规划项目(23210001)
关键词
永磁同步电机
扩展卡尔曼滤波
无位置传感器控制
高频信号注入
permanent magnet synchronous motor
extended Kalman filter
position sensorless control
high frequency signal injection