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On the common mode current reduction in induction motor fed by three-level NPC inverter for pumping photovoltaic application

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International Journal of Power Electronics 2025年第1期21卷 28-45页

作者： Mahmoud, Zouhaira Ben Khedher, Adel LATIS – Laboratory of Advanced Technology and Intelligent Systems Ecole Nationale d’Ingénieurs de Sousse Université de Sousse Sousse4023 Tunisia

The presence of common mode voltage (CMV) poses a significant challenge in motor drive applications. Particularly, for Photovoltaic Pumping (PVP) systems, the high-frequency fluctuations of CMV can induce a common mode current (CMC). These challenges not only diminish the lifespan and the reliability of the motor and PV panel but also present safety problems. This work suggests a novel space vector modulation (SVM) for three level NPC (3L-NPC) converter fed induction machine (IM). The proposed SVM simplifies the 3L space vector diagram (SVD) to six two level (2L) diagrams. The synthesis of the zero voltage vector is then achieved through a virtual approach, combining two active vectors. The principal features of the latter are low complexity, low computation burden, reduced CMV and leakage current with high DC bus utilisation ratio. The feasibility and effectiveness of the suggested SVM scheme is verified through both numerical tests and FPGA-based real time implementation. Copyright © 2025 Inderscience Enterprises Ltd.

关键词： Vectors

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Digital Image Forgery Detection with Focus on a Copy-Move Forgery Detection: A Survey 22

Digital Image Forgery Detection with Focus on a Copy-Move Fo...

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22nd International Conference on Cyberworlds, CW 2023

作者： Gazzah, Sami Haddada, Lamia Rzouga Shallal, Isam Amara, Najoua Essoukri Ben University of Sousse LATIS-Laboratory of Advanced Technology and Intelligent Systems Sousse Tunisia

ISBN: (纸本)9798350315653

The importance of ensuring the authenticity and reliability of digital images has grown significantly, primarily due to the ease of modifying such images with the progress of digital image editing tools. Consequently, there is a growing emphasis on the development of techniques for detecting image manipulation. One particular area of focus in digital image authentication is copy-move forgery detection. This paper presents a survey and a comparative study on copy-move forgery detection techniques in digital images, databases, and evaluation metrics. The study aims to provide insights into the effectiveness of different methods in detecting copy-move forgeries. The paper discusses prominent detection techniques, including block-based, keypoint-based, transform domain, hybrid methods, deep learning, and GAN approaches. The findings highlight the strengths, weaknesses, and key similarities and differences among the approaches. This study contributes to the understanding of the state-of-the-art in copy-move forgery detection and provides guidance for future research in this field. © 2023 IEEE.

关键词： Deep learning

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CBHIR-based approach for histological image analysis on large scale datasets 22

CBHIR-based approach for histological image analysis on larg...

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22nd International Conference on Cyberworlds, CW 2023

作者： Jaafar, Roua Yazid, Hedi Amara, Najoua Essoukri Ben LATiS-Laboratory of Advanced Technology and Intelligent Systems ENISo Sousse Souse4023 Tunisia LATiS-Laboratory of Advanced Technology and Intelligent Systems ENISo Sousse Lisite Laboratory Isep Paris Paris France Universite de Sousse Ecole Nationale d'Ingenieurs de Sousse LATiS-Laboratory of Advanced Technology and Intelligent Systems Souse4023 Tunisia

ISBN: (纸本)9798350315653

Automatic analysis of histopathological images is a very challenging topic and it involves various tasks. While interpreting Whole Slide Images (WSI), pathologists require advanced tools to perform their analysis. Thus, we propose a content-based histopathological image retrieval (CBHIR) based on incremental phenotyping approach. The CBHIR aims to assist practitioners in the decision making into a diagnosis process while providing similar cases which clinicians can refer to interpret a current one. The phenotyping approach consists mainly in delving into the large histological image in order to discover the correlations that exist between the different regions. The phenotyping graph will be applied in the CBHIR system. © 2023 IEEE.

关键词： Case based reasoning

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Recognizing text lines in handwritten archival document images using octave convolutional and attention recurrent neural networks

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Multimedia Tools and Applications 2024年 1-28页

作者： Mechi, Olfa Mehri, Maroua Ingold, Rolf Essoukri Ben Amara, Najoua Université de Sousse Ecole Nationale d’Ingénieurs de Sousse LATIS-Laboratory of Advanced Technology and Intelligent Systems Sousse4023 Tunisia DIVA Group University of Fribourg Fribourg1700 Switzerland

Over the past several years, many archivists and historians have pointed out growing needs closely related to robust and efficient offline handwritten text recognition systems able to assist them in transcribing handwritten archival documents. These systems are able to generate as output an editable text file corresponding to the transcription of the digitized documents. Recently, great attention has been paid to the use of deep learning for solving various issues related to document image analysis. Particularly, deep learning architectures have been extensively used for handwritten text recognition to overcome some limitations of many old-fashion approaches, such as the hidden Markov models. To contribute to this trend, we propose in this article a deep learning architecture able to recognize text lines in handwritten archival document images using octave-based convolutional and attention-based recurrent neural networks. The proposed architecture is composed of the encoder and decoder blocks. First, the octave convolutional layers are used in the encoder block. Then, the attention-based bidirectional long short-term memory network, followed by the connectionist temporal classification layer are used in the decoder block. A set of experiments was carried out to show the effectiveness of the proposed architecture using different benchmark datasets of historical handwritten document images. Qualitative and quantitative results were reported and compared with those of recent state-of-the-art ones and the participating methods in the ICDAR and ICFHR contests in the same conditions (i.e. without using language model nor lexicon constraint). Using the proposed architecture, low character error rates at line level are achieved on three different datasets: 6.02%, 4.30% and 6.9% for the IAM, Rimes and Bentham datasets, respectively. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Convolution

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Automatic Control of Magnetic Helical Microrobots Docking with Target Objects in Liquid Environments

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Journal of Bionic Engineering 2025年第2期22卷 574-584页

作者： Fu Zhao Haoran Rong Lefeng Wang State Key Laboratory of Robotics and Systems Harbin Institute of TechnologyHarbin150080China Key Laboratory of Advanced Manufacturing and Intelligent Technology Ministry of EducationHarbin University of Science and TechnologyHarbin150080China

Bio-inspired magnetic helical microrobots have great potential for biomedical and micromanipulation applications. Precise interaction with objects in liquid environments is an important prerequisite and challenge for helical microrobots to perform various tasks. In this study, an automatic control method is proposed to realize the axial docking of helical microrobots with arbitrarily placed cylindrical objects in liquid environments. The docking process is divided into ascent, approach, alignment, and insertion stages. First, a 3D docking path is planned according to the positions and orientations of the microrobot and the target object. Second, a steering-based 3D path-following controller guides the helical microrobot to rise away from the container bottom and approach the target along the path. Third, based on path design with gravity compensation and steering output limits, alignment of position and orientation can be accomplished simultaneously. Finally, the helical microrobot completes the docking under the rotating magnetic field along the target orientation. Experiments verified the automatic docking of the helical microrobot with static targets, including connecting with micro-shafts and inserting into micro-tubes. The object grasping of a reconfigurable helical microrobot aided by 3D automatic docking was also demonstrated. This method enables precise docking of helical microrobots with objects, which might be used for capture and sampling, in vivo navigation control, and functional assembly of microrobots.

关键词： Magnetic actuation Helical microrobots Visual servo Motion control Docking

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Wind Turbine Emulator Using Three-Level Inverter-Fed Induction Motor Drive Controlled Through DTC Strategy 1

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2nd International Conference on Green Energy Conversion System, ICGECS 2023

作者： Jnayah, Salma Zerzeri, Mouna Moussa, Intissar Khedher, Adel Université de Sousse Ecole Nationale d’Ingénieurs de Sousse LATIS- Laboratory of Advanced Technology and Intelligent Systems Sousse4023 Tunisia

ISBN: (数字)9789819761487

ISBN: (纸本)9789819761470

Induction motors (IM) are widely applied in manifold industrial applications, notably in the renewable energy sector, owing to their low maintenance requirements, economical cost, and high efficiency. This article outlines a Wind Turbine Emulation (WTE) system using a squirrel cage asynchronous machine under Direct Torque Control (DTC) approach. The proposed DTC strategy is based on a three-level Neutral Point Clamped (NPC) inverter fed the IM to proficiently imitate a small-scale wind-turbine behavior in a laboratory setting by regulating the waveform of the speed. The suggested control system reacts effectively as a wind turbine emulator in research laboratory by controlling the speed waveform with minimum torque and flux ripples. The simulation findings, carried out using Matlab/SIMULINK environment, confirmed the suitability of the DTC in WTE application. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Wind turbines

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Generalization of Optimal Modulation Control for 3φ VSI Through Solving of Transcendent Equations 2nd

Generalization of Optimal Modulation Control for 3φ VSI Thr...

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2nd International Conference on Green Energy Conversion System, ICGECS 2023

作者： Bouyahi, Henda Khedher, Adel LATIS-Laboratory of Advanced Technology and Intelligent Systems Université de Sousse Ecole Nationale d’Ingénieurs de Sousse Sousse4023 Tunisia

ISBN: (纸本)9789819761470

Pulse width modulation (PWM) techniques are primordial to high performance and great efficiency of inverters. The Selective Harmonic Elimination (SHE) technique determines in advance the switching angles, by taking into account the desired output voltage amplitude and harmonics to be eliminated. Thus, resolution of non-linear equation systems to set the switching angles poses crucial problem for the initial values choice. So, to remedy this problem, we propose in this work to formulate initial conditions by linear mathematical approximations, in order to approximate them to exact values that define pulse-width modulation. This formulation allows gain on the one hand the harmonics eliminated number (N) which will increase and on the other hand the computation time, which is often important. In this paper, we present transcendental equations resolution for switching angles (even or odd) and for two types of control patterns, namely: θN∘ and θN∘. In order to validate our study, we demonstrated switching angles variation law as a function of modulation index using MATLAB simulation. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Pulse width modulation

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VisualIE: Receipt-Based Information Extraction with a Novel Visual and Textual Approach 22

VisualIE: Receipt-Based Information Extraction with a Novel ...

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22nd International Conference on Cyberworlds, CW 2023

作者： Gbada, Hamza Kalti, Karim Mahjoub, Mohamed Ali Sousse Tunisia Faculty of Sciences of Monastir Monastir Tunisia LATIS-Laboratory of Advanced Technology and Intelligent Systems Sousse Tunisia

ISBN: (纸本)9798350315653

Information extraction (IE) from a receipt-based document requires understanding the contextual and visual semantics of texts. However, prior studies have predominantly utilized pre-trained language models and Optical Character Recognition (OCR) engines to extract textual features from the document and conduct entity extraction. Besides, this paper presents a novel approach for information extraction from receipt-based documents by leveraging both visual and textual features. The proposed approach employs a convolutional neural network to capture visual features and a word embedding model to capture textual features. These features are then combined and fed into a fully connected layer for entity classification. The experimental results demonstrate that the proposed approach outperforms the baseline and achieves state-of-the-art results in information extraction from receipts. © 2023 IEEE.

关键词： Embeddings

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DSP Real-Time Implementation of an Optimized Steady State DFIM Control for Electric Vehicles 1

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2nd International Conference on Green Energy Conversion System, ICGECS 2023

作者： Zerzeri, Mouna Khedher, Adel Université de Sousse Ecole Nationale d’Ingénieurs de Sousse LATIS—Laboratory of Advanced Technology and Intelligent Systems Sousse4023 Tunisia Université de Sousse Institut Supérieur de Transport et de la Logistique de Sousse LATIS—Laboratory of Advanced Technology and Intelligent Systems Sousse4023 Tunisia

ISBN: (数字)9789819761487

ISBN: (纸本)9789819761470

The choice of traction motor for the propulsion system is crucial in their design. In order to contribute to the actual research applied to electric vehicle powertrains field, this paper focuses on Doubly-Fed Induction Machines (DFIM) in traction systems. The theoretical study examines the DFIM’s steady-state features and performances based on the d-q reference model. Hence, an optimized control for an accurate rotor voltage amplitude and angle adjusting in steady state is proposed. The obtained reference voltages will be injected into a Voltage Source Inverters (VSI) in both stator and rotor sides, which are controlled through a Space Vector Pulse Width Modulation (SVPWM) technique. The overall of optimized control scheme has been implemented in real-time on a Digital Signal Processor (DSP) and has been experimentally tested on a laboratory prototype designed around two variable speed drives that feed a DFIM. The obtained results show that by properly determining the rotor voltage, the DFIM can operate optimally in a wide range of speed variations. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Traction motors

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Impact of FOC for Induction Machine Drive Using SVPWM and RPWM Strategies on Acoustic Noise 2nd

Impact of FOC for Induction Machine Drive Using SVPWM and RP...

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2nd International Conference on Green Energy Conversion System, ICGECS 2023

作者： Bouyahi, Henda Khedher, Adel LATIS-Laboratory of Advanced Technology and Intelligent Systems Université de Sousse Ecole Nationale d’Ingénieurs de Sousse Sousse4023 Tunisia

ISBN: (纸本)9789819761470

Electric motor control represents an important interest for industry. Thus, induction machines provide major source of acoustic noise. Field Oriented Control FOC offers an attractive solution to achieve high performance in variable-speed applications. This control consists to make the asynchronous machine control analogous to that of the DC machine where there is a natural decoupling between the rotor flux and electromagnetic torque. SVPWM and RPWM modulation techniques are also applied to supply systems in closed loop. The aim of this paper is to analyze the interaction between the inverter and the machine in closed loop and to estimate the level of noise emitted by the FOC control as a function of the modulation technique applied. For that we demonstrated and discussed the performance of the FOC control on the electrical and mechanical quantities produced by the machine. In addition, we have shown and compared the stator current harmonic spectra for each modulation technique in open and closed loop. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Induction machine

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