Design and Implementation of an Extended Kalman Filter for the State Estimation of a Permanent Magnet Synchronous Motor

被引:256
作者
Dhaouadi, Rached [1 ]
Mohan, Ned [1 ]
Norum, Lars [2 ]
机构
[1] Univ Minnesota, Dept Elect Engn, 200 Union St SE, Minneapolis, MN 55455 USA
[2] Norwegian Inst Technol, Dept Elect Engn, N-7034 Trondheim, Norway
关键词
D O I
10.1109/63.85891
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Practical considerations for implementing the discrete extended Kalman filter in real time with a digital signal processor are discussed. The system considered is a permanent magnet synchronous motor (PMSM) without a position sensor, and the extended Kalman filter is designed for the on-line estimation of the speed and rotor position by only using measurements of the motor voltages and currents. The algorithms developed to allow efficient computation of the filter are presented. The computational techniques used to simplify the filter equations and their implementation in fixed-point arithmetic are discussed. Simulation and experimental results using the TMS 320C25 digital signal processor are presented to demonstrate the feasibility of this estimation process.
引用
收藏
页码:491 / 497
页数:7
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