Parameter Estimation of the Induction Motor Using Extended Kalman Filter for Wide Range Speed Control

被引：0
|
作者：
Dadkhah, R. [1 ]
Givi, H. [1 ]
Mehdipour, A. [2 ]
机构：
[1] Shiraz Univ, Dept Elect & Comp Engn, Shiraz, Iran
[2] Babol Noshirvani Univ Technol, Dept Elect & Comp Engn, Babol Sar, Iran
来源：
2015 6TH POWER ELECTRONICS, DRIVES SYSTEMS & TECHNOLOGIES CONFERENCE (PEDSTC) | 2015年
关键词：
induction motor parameter estimation; extended Kalman filter (EKF); direct torque control (DTC); sensorless speed control; SENSORLESS CONTROL; STATE ESTIMATION; DRIVE;
D O I：
暂无
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：
This paper is focused on parameter estimation of an induction motor using extended Kalman filter (EKF). Large variations of stator resistance along with the load torque changes are considered and the EKF is utilized for estimating the motor state and time varying stator resistance. The direct torque control (DTC) algorithm is employed to achieve sensorless speed control in a wide range. The main advantage of this research is considering the sharp variations in the stator resistance to confirm the robustness of the proposed scheme. The proposed algorithm is implemented in MATLAB and different scenarios are simulated. The results confirm the capability of the proposed technique for speed control of the induction motor in a wide range.
引用
收藏
页码：137 / 142
页数：6
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