DocumentCode
704289
Title
Parameter estimation of the induction motor using extended Kalman filter for wide range speed control
Author
Dadkhah, R. ; Givi, H. ; Mehdipour, A.
Author_Institution
Dept. of Electr. & Comput. Eng., Shiraz Univ., Shiraz, Iran
fYear
2015
fDate
3-4 Feb. 2015
Firstpage
137
Lastpage
142
Abstract
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.
Keywords
Kalman filters; induction motors; nonlinear filters; parameter estimation; sensorless machine control; stators; time-varying systems; torque control; velocity control; DTC algorithm; EKF; MATLAB; direct torque control; extended Kalman filter; induction motor; load torque changes; parameter estimation; sensorless speed control; time varying stator resistance; wide range speed control; Induction motors; Instruments; MATLAB; direct torque control (DTC); extended Kalman filter (EKF); induction motor parameter estimation; sensorless speed control;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics, Drives Systems & Technologies Conference (PEDSTC), 2015 6th
Conference_Location
Tehran
Print_ISBN
978-1-4799-7652-2
Type
conf
DOI
10.1109/PEDSTC.2015.7093263
Filename
7093263
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