Simple derivative-free nonlinear state observer for sensorless AC drives

被引:49
|
作者
Akin, Bilal [1 ]
Orguner, Umut
Ersak, Aydin
Ehsani, Mehrdad
机构
[1] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77843 USA
[2] Toshiba Int Corp, Toshiba Ind Div, Houston, TX 77041 USA
[3] Middle E Tech Univ, Dept Elect & Elect Engn, TR-06531 Ankara, Turkey
关键词
extended Kalman filter (EKF); field-oriented control (FOC); induction motor; Kalman filtering; speed estimation; state observer; unscented Kalman filter (UKF);
D O I
10.1109/TMECH.2006.882996
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a new Kalman filtering technique, unscented Kalman filter (UKF), is utilized both experimentally and theoretically as a state estimation tool in field-oriented control (FOC) of sensorless ac drives. Using the advantages of this recent derivative-free nonlinear estimation tool, rotor speed and dq-axis fluxes of an induction motor are estimated only with the sensed stator currents and voltages information. In order to compare the estimation performances of the extended Kalman filter (EKF) and UKF explicitly, both observers are designed for the same motor model and run with the same covariance matrices under the same conditions. In the simulation results, it is shown that UKF, whose several intrinsic properties suggest its use over EKF in highly nonlinear systems, has more satisfactory rotor speed and flux estimates, which are the most critical states for FOC. These simulation results are supported with experimental results.
引用
收藏
页码:634 / 643
页数:10
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