摘要
在永磁同步电动机中,永磁同步电动机的性能、效率和稳定性受到永磁体磁性的直接影响.为保证永磁同步电机的高鲁棒性,需要对永磁同步电动机中的永磁体信息进行实时在线监测.本文选择旋转坐标系下的定子电流和永磁体磁链为状态变量,建立一个能够实时提供准确永磁体磁链信息的EKF(扩展卡尔曼滤波器)系统.仿真结果验证了该算法的可用性并表明EKF滤波系统能准确地在线监测出磁链信息.
In the permanent magnet synchronous motor, performance permanent magnet synchronous motor, efficiency and stability are directly affected by the permanent magnet magnetic. To ensure high performance permanent magnet synchronous motor, there is a need for permanent magnet synchronous permanent magnet motor information in real-time on-line monitoring. This paper selected coordinate system rotating stator current and permanent magnet flux as state variables, establishing an EKF system （Extended Kalman Filter） which can provide timely and accurate information on the magnetic flux. Simulation results demonstrate the feasibility of the algorithm and the results show that EKF-line filter system can accurately monitor the flux.
出处
《湖南理工学院学报（自然科学版）》
CAS
2014年第4期49-52,共4页
Journal of Hunan Institute of Science and Technology(Natural Sciences)
基金
国家自然科学基金项目(61473117)
湖南省高校产业化培育项目(13CY018)
