Speed Estimation for Indirect Field Oriented Control of Induction Motor Using Extended Kalman Filter

Ahmed ,  Aamir Hashim Obeid

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dc.contributor.author	Ahmed , Aamir Hashim Obeid
dc.date.accessioned	2017-04-25T07:50:30Z
dc.date.available	2017-04-25T07:50:30Z
dc.date.issued	2016
dc.identifier.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	en_US
dc.identifier.issn	ISSN 1605-427X
dc.identifier.uri	http://repository.sustech.edu/handle/123456789/16643
dc.description	article	en_US
dc.description.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.	en_US
dc.description.sponsorship	Sudan University of Science and Technology	en_US
dc.language.iso	en_US	en_US
dc.publisher	Sudan University of Science and Technology	en_US
dc.subject	Induction Motor, Field Oriented Control, Sensorless, Speed Estimation, Extended Kalman Filter.	en_US
dc.title	Speed Estimation for Indirect Field Oriented Control of Induction Motor Using Extended Kalman Filter	en_US
dc.type	Article	en_US