Extended Kalman filter tuning in sensorless PMSM drives

被引:405
作者
Bolognani, S [1 ]
Tubiana, L
Zigliotto, M
机构
[1] Univ Padua, Dept Elect Engn, I-35131 Padua, Italy
[2] Univ Udine, Dept Elect Management & Mech Engn, I-33100 Udine, Italy
关键词
AC motor drives; extended kalman filter (EKF) tuning; permanent-magnet synchronous motor (PMSM) drives; sensorless drives;
D O I
10.1109/TIA.2003.818991
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The use of an extended Kalman filter (EKF) as a nonlinear speed and position observer for permanent-magnet synchronous motor drives is a mature research topic. Notwithstanding, the shift from research prototype to a market-ready product still calls for a solution to some implementation pitfalls. The major and still unsolved topic is the choice of the EKF covariance matrices. This paper replaces the usual trial-and-error method with a straightforward matrices choice. These matrices, possibly combined with a novel self-tuning procedure, should put the EKF drive much closer to an off-the-shelf product. The proposed method is based on the complete normalization of the EKF algorithm representation. Successful experimental results are included in,the paper.
引用
收藏
页码:1741 / 1747
页数:7
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