Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/16643
Title: Speed Estimation for Indirect Field Oriented Control of Induction Motor Using Extended Kalman Filter
Authors: Ahmed , Aamir Hashim Obeid
Keywords: Induction Motor, Field Oriented Control, Sensorless, Speed Estimation, Extended Kalman Filter.
Issue Date: 2016
Publisher: Sudan University of Science and Technology
Citation: Ahmed , Aamir Hashim Obeid . Speed Estimation for Indirect Field Oriented Control of Induction Motor Using Extended Kalman Filter \ Aamir Hashim Obeid Ahmed .- Journal of Engineering and Computer Sciences (ECS) .- vol 17 , no1.- 2016.- article
Abstract: ABSTRACT - Speed sensors are required for the Field Oriented Control (FOC) of induction motors. These sensors reduce the sturdiness of the system and make it expensive. Therefore, a drive system without speed sensors is required. This paper presents a detailed study of the Extended Kalman Filter (EKF) for estimating the rotor speed of an Induction Motor (IM). Using MATLAB/SIMULINK software, a simulation model is built and tested. The simulation results illustrated and demonstrated the good performance and robustness of the EKF to estimate the high and low speed. Moreover, the performance of the EKF is found to be satisfactory in case there are external disturbances.
Description: article
URI: http://repository.sustech.edu/handle/123456789/16643
ISSN: ISSN 1605-427X
Appears in Collections:Volume 17 No. 1

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