Design and Implementation of PID Adaptation Mechanism for MRAS-Based Speed Estimation of Induction Machine

This article proposes the use of a proportional–integral–derivative (PID) controller as an adaptive mechanism within the framework of the model reference adaptive system-based rotor flux (MRASF) for accurate rotor speed estimation in induction motors. The controller is designed...

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Main Authors: Mohamed Amine Fnaiech, Mohamed Trabelsi, Ayman Al-Khazraji, Maamar Taleb, Hani Vahedi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Industrial Electronics Society
Subjects:
Online Access:https://ieeexplore.ieee.org/document/11074712/
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author Mohamed Amine Fnaiech
Mohamed Trabelsi
Ayman Al-Khazraji
Maamar Taleb
Hani Vahedi
author_facet Mohamed Amine Fnaiech
Mohamed Trabelsi
Ayman Al-Khazraji
Maamar Taleb
Hani Vahedi
author_sort Mohamed Amine Fnaiech
collection DOAJ
description This article proposes the use of a proportional–integral–derivative (PID) controller as an adaptive mechanism within the framework of the model reference adaptive system-based rotor flux (MRASF) for accurate rotor speed estimation in induction motors. The controller is designed to impose specific dynamic behaviors and performance criteria, addressing the sensitivity of MRASF dynamics to slip speed. To achieve this, a full-order transfer function of the MRASF is employed to systematically derive the PID parameters using compensation and pole placement techniques. The proposed control strategy ensures that the estimated rotor speed closely follows the desired performance across various operating conditions. The effectiveness of the MRASF–PID design is validated through both simulation and experimental testing under open-loop voltage/frequency control of the induction machine, confirming the successful realization of the targeted dynamic and steady-state performance.
format Article
id doaj-art-3ec6ff778e1047c9a146d8bcc6a9491f
institution DOAJ
issn 2644-1284
language English
publishDate 2025-01-01
publisher IEEE
record_format Article
series IEEE Open Journal of the Industrial Electronics Society
spelling doaj-art-3ec6ff778e1047c9a146d8bcc6a9491f2025-08-20T02:45:42ZengIEEEIEEE Open Journal of the Industrial Electronics Society2644-12842025-01-0161090110010.1109/OJIES.2025.358705511074712Design and Implementation of PID Adaptation Mechanism for MRAS-Based Speed Estimation of Induction MachineMohamed Amine Fnaiech0https://orcid.org/0000-0001-7745-3487Mohamed Trabelsi1https://orcid.org/0000-0003-1955-0355Ayman Al-Khazraji2Maamar Taleb3Hani Vahedi4https://orcid.org/0000-0001-6309-2633College of Engineering, Electrical Engineering Department, University of Bahrain, Sakhir, BahrainElectronics and Communications Engineering Department, Kuwait College of Science and Technology, Kuwait City, KuwaitCollege of Engineering, Electrical Engineering Department, University of Bahrain, Sakhir, BahrainCollege of Engineering, Electrical Engineering Department, University of Bahrain, Sakhir, BahrainDepartment of Electrical Engineering, Mathematics, and Computer Science, Delft University of Technology, Delft, The NetherlandsThis article proposes the use of a proportional–integral–derivative (PID) controller as an adaptive mechanism within the framework of the model reference adaptive system-based rotor flux (MRASF) for accurate rotor speed estimation in induction motors. The controller is designed to impose specific dynamic behaviors and performance criteria, addressing the sensitivity of MRASF dynamics to slip speed. To achieve this, a full-order transfer function of the MRASF is employed to systematically derive the PID parameters using compensation and pole placement techniques. The proposed control strategy ensures that the estimated rotor speed closely follows the desired performance across various operating conditions. The effectiveness of the MRASF–PID design is validated through both simulation and experimental testing under open-loop voltage/frequency control of the induction machine, confirming the successful realization of the targeted dynamic and steady-state performance.https://ieeexplore.ieee.org/document/11074712/Proportional–integral–derivative (PID) controller (CN)model reference adaptive system (MRAS)speed estimationinduction machines (IMs)closed-loop control system
spellingShingle Mohamed Amine Fnaiech
Mohamed Trabelsi
Ayman Al-Khazraji
Maamar Taleb
Hani Vahedi
Design and Implementation of PID Adaptation Mechanism for MRAS-Based Speed Estimation of Induction Machine
IEEE Open Journal of the Industrial Electronics Society
Proportional–integral–derivative (PID) controller (CN)
model reference adaptive system (MRAS)
speed estimation
induction machines (IMs)
closed-loop control system
title Design and Implementation of PID Adaptation Mechanism for MRAS-Based Speed Estimation of Induction Machine
title_full Design and Implementation of PID Adaptation Mechanism for MRAS-Based Speed Estimation of Induction Machine
title_fullStr Design and Implementation of PID Adaptation Mechanism for MRAS-Based Speed Estimation of Induction Machine
title_full_unstemmed Design and Implementation of PID Adaptation Mechanism for MRAS-Based Speed Estimation of Induction Machine
title_short Design and Implementation of PID Adaptation Mechanism for MRAS-Based Speed Estimation of Induction Machine
title_sort design and implementation of pid adaptation mechanism for mras based speed estimation of induction machine
topic Proportional–integral–derivative (PID) controller (CN)
model reference adaptive system (MRAS)
speed estimation
induction machines (IMs)
closed-loop control system
url https://ieeexplore.ieee.org/document/11074712/
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AT mohamedtrabelsi designandimplementationofpidadaptationmechanismformrasbasedspeedestimationofinductionmachine
AT aymanalkhazraji designandimplementationofpidadaptationmechanismformrasbasedspeedestimationofinductionmachine
AT maamartaleb designandimplementationofpidadaptationmechanismformrasbasedspeedestimationofinductionmachine
AT hanivahedi designandimplementationofpidadaptationmechanismformrasbasedspeedestimationofinductionmachine