Rotor Position Estimation Method for Permanent Magnet Synchronous Motor Based on High-Order Extended Kalman Filter

被引：0
|
作者：
Liu, Yan [1 ]
Li, Hange [1 ]
He, Wei [1 ]
机构：
[1] Shaanxi Univ Sci & Technol, Sch Elect & Control Engn, Xian 710021, Peoples R China
来源：
ELECTRONICS | 2024年 / 13卷 / 24期
关键词：
permanent magnet synchronous motor; rotor position estimation; high-order extended Kalman filter; least square method; SENSORLESS CONTROL; OBSERVER; DESIGN;
D O I：
10.3390/electronics13244978
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
To address the issue of decreased rotor position estimation accuracy in permanent magnet synchronous motors (PMSMs) caused by linearization rounding errors in the extended Kalman filter (EKF), this paper proposes a rotor position estimation method for PMSMs based on higher-order extended Kalman filtering. This method relies on the state-space equations of a PMSM in a stationary coordinate system and establishes a higher-order Taylor series expansion based on the least squares approach. It constructs a prediction and update model for the state variables using the higher-order Taylor series expansion and designs an algorithm for estimating the rotor position of PMSMs based on higher-order extended Kalman filtering. The simulation results indicate that, compared to the EKF, the proposed method reduces the root-mean-square error by 10%.
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页数：15
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