Výsledky vyhledávání - "Abdelhamid Benakcha"

Closed-Loop Drive Detection and Diagnosis of Multiple Combined Faults in Induction Motor Through Model-Based and Neuro-Fuzzy Network Techniques

Autor: Imadeddine Harzelli, Arezki Menacer, Tarek Ameid, Abdelhamid Benakcha

Publikováno v: Journal of Modeling and Optimization. 13:58-79

In this paper, a fault detection and diagnosis approach adopted for an input-output feedback linearization (IOFL) control of induction motor (IM) drive is proposed. This approach has been employed to detect and identify the simple and mixed broken ro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d5de1347102868a1969e0c7643fcf647
https://doi.org/10.32732/jmo.2021.13.2.58

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Tensor cross-view quadratic discriminant analysis for kinship verification in the wild

Autor: Abdelmalik Ouamane, Oualid Laiadi, Abdenour Hadid, Abdelmalik Taleb-Ahmed, Abdelhamid Benakcha

Publikováno v: Neurocomputing
Neurocomputing, Elsevier, 2020, 377, pp.286-300. ⟨10.1016/j.neucom.2019.10.055⟩
Neurocomputing, 2020, 377, pp.286-300. ⟨10.1016/j.neucom.2019.10.055⟩

International audience; This paper presents a new Tensor Cross-view Quadratic Discriminant Analysis (TXQDA) method based on the XQDA method for kinship verification in the wild. Many researchers used metric learning methods and have achieved reasonab

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31c78d792b93f95936645f4e0cede993
https://doi.org/10.1016/j.neucom.2019.10.055

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Robust Model Predictive Control for Induction Motor Drive Using Disturbance Observer with MRAS Speed Estimator

Autor: Abdelkarim Ammar, Aissa Kheldoun, Brahim Metidji, Meryem Benakcha, Amor Bourek, Abdelhamid Benakcha

Publikováno v: 2021 9th International Conference on Systems and Control (ICSC).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1a86be543dd389e1ffc08389e0706cb9
https://doi.org/10.1109/icsc50472.2021.9666698

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Experimental study of a real-time control by backstepping technique of an induction motor drive

Autor: Abdelkarim Ammar, Meryem Benakcha, Abdelhamid Benakcha, Salah Eddine Zouzou

Publikováno v: 2021 International Congress of Advanced Technology and Engineering (ICOTEN).

Induction machine, associated with a static converter, constitutes a variable speed drive whose industrial uses are increasingly important. To achieve good dynamic performances, it is therefore necessary to develop robust control laws. The aim of thi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b4dd5e7731892e5ae47cc0395e80b133
https://doi.org/10.1109/icoten52080.2021.9493526

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A weighted exponential discriminant analysis through side-information for face and kinship verification using statistical binarized image features

Autor: Abdelhamid Benakcha, Abdenour Hadid, Abdelmalik Taleb-Ahmed, Abdelmalik Ouamane, Oualid Laiadi

Publikováno v: International journal of machine learning and cybernetics
International journal of machine learning and cybernetics, 2021, 12 (1), pp.171-185. ⟨10.1007/s13042-020-01163-x⟩
International journal of machine learning and cybernetics, Springer, 2021, 12 (1), pp.171-185. ⟨10.1007/s13042-020-01163-x⟩

International audience; Side-information based exponential discriminant analysis (SIEDA) is more efficient than side-information based linear discriminant analysis (SILDA) in computing the discriminant vectors because it maximizes the Fisher criterio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c8db430ab26b63526a11934540accc8
https://hal.science/hal-03322498

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Multi-view deep features for robust facial kinship verification

Autor: Abdelhamid Benakcha, Abdelmalik Ouamane, Abdelmalik Taleb-Ahmed, Oualid Laiadi, Abdenour Hadid

Publikováno v: 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG)
15th IEEE International Conference on Automatic Face and Gesture Recognition (FG), Nov 2020, Buenos Aires, Argentina. ⟨10.1109/FG47880.2020.00118⟩
FG
15th IEEE International Conference on Automatic Face and Gesture Recognition (FG), Nov 2020, Buenos Aires, Argentina. pp.743-747, ⟨10.1109/FG47880.2020.00118⟩

Automatic kinship verification from facial images is an emerging research topic in machine learning community. In this paper, we proposed an effective facial features extraction model based on multi-view deep features. Thus, we used four pre-trained

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6c9e48d2741524c7ec31b674a8933d0
https://hal.archives-ouvertes.fr/hal-03322818

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Closed loop torque SVM-DTC based on robust super twisting speed controller for induction motor drive with efficiency optimization

Autor: Abdelhamid Benakcha, Abdelkarim Ammar, Amor Bourek

Publikováno v: International Journal of Hydrogen Energy. 42:17940-17952

This paper presents a space vector modulation (SVM) based Direct Torque Control strategy (DTC) for induction motor (IM) in order to overcome the drawbacks of the classical DTC. SVM can reduce the high torque and flux ripples by preserving a fixed swi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5cb01ac0d690179131881f4f4c9ced7e
https://doi.org/10.1016/j.ijhydene.2017.04.034

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Nonlinear SVM-DTC for induction motor drive using input-output feedback linearization and high order sliding mode control

Autor: Amor Bourek, Abdelkarim Ammar, Abdelhamid Benakcha

Publikováno v: ISA Transactions. 67:428-442

This paper presents a nonlinear Direct Torque Control (DTC) strategy with Space Vector Modulation (SVM) for an induction motor. A nonlinear input-output feedback linearization (IOFL) is implemented to achieve a decoupled torque and flux control and t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69e034a4335dc932ba47e14b887f80ff
https://doi.org/10.1016/j.isatra.2017.01.010

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Robust SVM-direct torque control of induction motor based on sliding mode controller and sliding mode observer

Autor: Abdelkarim Ammar, Abdelhamid Benakcha, Amor Bourek

Publikováno v: Frontiers in Energy. 14:836-849

This paper proposes a design of control and estimation strategy for induction motor based on the variable structure approach. It describes a coupling of sliding mode direct torque control (DTC) with sliding mode flux and speed observer. This algorith

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3377f032f1a26732292a6f3fd6d9e889
https://doi.org/10.1007/s11708-017-0444-z

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Sensorless SVM-Direct Torque Control for Induction Motor Drive Using Sliding Mode Observers

Autor: Amor Bourek, Abdelhamid Benakcha, Abdelkarim Ammar

Publikováno v: Journal of Control, Automation and Electrical Systems. 28:189-202

This paper presents an improved direct torque control strategy (DTC) for induction motor drive. The conventional DTC suffers from high torque ripples and variable switching frequency due to utilizing hysteresis comparators. The presented technique us

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::59509975c8e6e415e4e0cd72b342ff80
https://doi.org/10.1007/s40313-016-0294-7

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