Volume 10, Issue 4 (December 2014)                   IJEEE 2014, 10(4): 304-313 | Back to browse issues page

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Mousavi Gazafroodi S M, Dashti A. A Novel MRAS Based Estimator for Speed-Sensorless Induction Motor Drive. IJEEE 2014; 10 (4) :304-313
URL: http://ijeee.iust.ac.ir/article-1-678-en.html
Abstract:   (5628 Views)
In this paper, a novel stator current based Model Reference Adaptive System (MRAS) estimator for speed estimation in the speed-sensorless vector controlled induction motor drives is presented. In the proposed MRAS estimator, measured stator current of the induction motor is considered as a reference model. The estimated stator current is produced in an adjustable model to compare with the measured stator current, where rotor flux identification is needed for stator current estimation. In the available stator current based MRAS estimator, rotor flux is estimated by the use of measured stator current, where the adjustable model and reference model depend on each other since measured stator current is employed in both of them. To improve the performance of the MRAS speed estimator, both the stator current and rotor flux are estimated in the adjustable model by using the state space equations of the induction motor, adjusted with the rotor speed calculated by an adaptation mechanism. The stability of the proposed MRAS estimator is studied through a small signal analysis. Senorless induction motor drive along with the proposed MRAS speed estimator is verified through computer simulations. In addition, performance of the proposed MRAS is compared with the available stator current based MRAS speed estimator
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Type of Study: Research Paper | Subject: Electrical Drives
Received: 2014/02/23 | Revised: 2015/01/17 | Accepted: 2014/12/24

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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.