Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/16643
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dc.contributor.authorAhmed , Aamir Hashim Obeid
dc.date.accessioned2017-04-25T07:50:30Z
dc.date.available2017-04-25T07:50:30Z
dc.date.issued2016
dc.identifier.citationAhmed , 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.- articleen_US
dc.identifier.issnISSN 1605-427X
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/16643
dc.descriptionarticleen_US
dc.description.abstractABSTRACT - 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.sponsorshipSudan University of Science and Technologyen_US
dc.language.isoen_USen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectInduction Motor, Field Oriented Control, Sensorless, Speed Estimation, Extended Kalman Filter.en_US
dc.titleSpeed Estimation for Indirect Field Oriented Control of Induction Motor Using Extended Kalman Filteren_US
dc.typeArticleen_US
Appears in Collections:Volume 17 No. 1

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