Pub Date : 2017-05-22DOI: 10.1109/ATSIP.2017.8075558
Ayoub Karine, A. Toumi, A. Khenchaf, M. Hassouni
This paper aims to present a novel method for automatic target recognition based on synthetic aperture radar (SAR) images. In order to describe a region of interest (target area), we use a saliency attention model. Then, the produced saliency map is used as a mask on SAR image in order to separate the ground target from the background. After that, we calculate the scale invariant feature transform (SIFT) descriptors of the transformed SAR image. In this way, we maintain only the SIFT keypoints located in the salient region. This strategy leads not only to reduce the dimensionality but also enhances its discriminative power. For recognition step, a matching approach between vector descriptors of unknown image target and all known images stored in training data set is adopted. To validate the proposed approach, MSTAR data set is used. The obtained experimental results show that our approach can effectively describe a SAR image, and obviously improve the recognition rate.
{"title":"Saliency attention and sift keypoints combination for automatic target recognition on MSTAR dataset","authors":"Ayoub Karine, A. Toumi, A. Khenchaf, M. Hassouni","doi":"10.1109/ATSIP.2017.8075558","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075558","url":null,"abstract":"This paper aims to present a novel method for automatic target recognition based on synthetic aperture radar (SAR) images. In order to describe a region of interest (target area), we use a saliency attention model. Then, the produced saliency map is used as a mask on SAR image in order to separate the ground target from the background. After that, we calculate the scale invariant feature transform (SIFT) descriptors of the transformed SAR image. In this way, we maintain only the SIFT keypoints located in the salient region. This strategy leads not only to reduce the dimensionality but also enhances its discriminative power. For recognition step, a matching approach between vector descriptors of unknown image target and all known images stored in training data set is adopted. To validate the proposed approach, MSTAR data set is used. The obtained experimental results show that our approach can effectively describe a SAR image, and obviously improve the recognition rate.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114924510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-05-22DOI: 10.1109/ATSIP.2017.8075552
Dalila Hammoumi, C. Bekkali, M. Karim, M. Taoussi, B. Bossoufi, A. Lagrioui
In this work, we present the study and the modeling of a variable speed wind energy system based on the permanent magnet synchronous generator. The proposed system produces through a rectifier and an inverter controlled by PI regulators in the objective to obtain optimum energy efficiency by improving a robust, perform and effective the active and reactive power control of the system. The simulation results obtained under MATLAB / SIMULINK environment showed the robustness and the performances of the system.
{"title":"Control wind energy system to variable speed based on the permanent magnet synchronous generator","authors":"Dalila Hammoumi, C. Bekkali, M. Karim, M. Taoussi, B. Bossoufi, A. Lagrioui","doi":"10.1109/ATSIP.2017.8075552","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075552","url":null,"abstract":"In this work, we present the study and the modeling of a variable speed wind energy system based on the permanent magnet synchronous generator. The proposed system produces through a rectifier and an inverter controlled by PI regulators in the objective to obtain optimum energy efficiency by improving a robust, perform and effective the active and reactive power control of the system. The simulation results obtained under MATLAB / SIMULINK environment showed the robustness and the performances of the system.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129706271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-05-22DOI: 10.1109/ATSIP.2017.8075575
Leila Kerkeni, Y. Serrestou, M. Mbarki, K. Raoof, M. Mahjoub
Emotions play a key role in cognitive processes, particularly in learning. Educators should know the emotional state of each student during a teaching activity. They must help students to experiment, interact and explore new topics and constructs. Students must feel in a state that maximize their performance. To know the emotional state of student, we need an emotion recognition system. It can be based on emotion recognition from speech (SER). SER is an important research area in humancomputer systems interaction (HCI). The major challenges for making a speech emotion recognition system are selecting the most suitable features and choosing the appropriate classification method. In this paper, we overview emotional speech recognition bearing in mind the role of emotions in learning. Here below we present briefly the obtained results by our SER system.
{"title":"A review on speech emotion recognition: Case of pedagogical interaction in classroom","authors":"Leila Kerkeni, Y. Serrestou, M. Mbarki, K. Raoof, M. Mahjoub","doi":"10.1109/ATSIP.2017.8075575","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075575","url":null,"abstract":"Emotions play a key role in cognitive processes, particularly in learning. Educators should know the emotional state of each student during a teaching activity. They must help students to experiment, interact and explore new topics and constructs. Students must feel in a state that maximize their performance. To know the emotional state of student, we need an emotion recognition system. It can be based on emotion recognition from speech (SER). SER is an important research area in humancomputer systems interaction (HCI). The major challenges for making a speech emotion recognition system are selecting the most suitable features and choosing the appropriate classification method. In this paper, we overview emotional speech recognition bearing in mind the role of emotions in learning. Here below we present briefly the obtained results by our SER system.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117197864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-05-22DOI: 10.1109/ATSIP.2017.8075554
Afafe Annice, A. Abderrahmani, K. Satori
We present our 3D models reconstructed based on geometric constraints. Used constraints in 3D reconstruction are frequently inaccurate. In fact, we detect an important set of theme, which one can we choose as input of reconstruction method? So, redundancies, cycles and inaccurate 3D model present a challenge to overcome. It is therefore necessary to “beautify” constraint and to elaborate an accurate 3D model before use in reconstruction systems. We present in our work a new method of 3D model elaboration. So, we remove redundancies; cycles and we bring a safe and final 3D model with an optimal freedom degree of estimated parameters. Our reconstruction algorithm first prioritizes the constraint detection. User can add them manually or through an automatic process. But the important thing is to avoid 3D modeling step which is very challenging. To detect and eliminate redundant and inconsistent constraints use freedom degree analysis. Results from our implementation show that the method can beautify and optimize recovered 3D models correctly at acceptable speed
{"title":"Fast and efficient geometric constraints optimization for an automatic 3D modelling","authors":"Afafe Annice, A. Abderrahmani, K. Satori","doi":"10.1109/ATSIP.2017.8075554","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075554","url":null,"abstract":"We present our 3D models reconstructed based on geometric constraints. Used constraints in 3D reconstruction are frequently inaccurate. In fact, we detect an important set of theme, which one can we choose as input of reconstruction method? So, redundancies, cycles and inaccurate 3D model present a challenge to overcome. It is therefore necessary to “beautify” constraint and to elaborate an accurate 3D model before use in reconstruction systems. We present in our work a new method of 3D model elaboration. So, we remove redundancies; cycles and we bring a safe and final 3D model with an optimal freedom degree of estimated parameters. Our reconstruction algorithm first prioritizes the constraint detection. User can add them manually or through an automatic process. But the important thing is to avoid 3D modeling step which is very challenging. To detect and eliminate redundant and inconsistent constraints use freedom degree analysis. Results from our implementation show that the method can beautify and optimize recovered 3D models correctly at acceptable speed","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116850715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-05-22DOI: 10.1109/ATSIP.2017.8075611
Imad Iala, Mourad Ouadou, D. Aboutajdine, O. Zytoune
A Wireless Sensor Network (WSN) is a network of thousands of low-cost sensors which have a limited operating lifetime. A sensor node generally comprises four basic elements, including a transceiver unit, a detection unit, a processing unit, and an energy supply unit. One of the major challenges in the WSN is to increase the network life-time. Since the transmitting/receiving unit has the highest energy consumption, reducing it increases the network life-time significantly. In this work, we propose to differentiate resources or services in order to provide high performances of Quality of Service (QoS) to the prioritized node, since the Medium Access Control (MAC) layer is considered as the responsible that manages the access to the transmission channel. Therefore, we need to manage the quality of service of this layer in order to give high chance to nodes with a lower energy level to get access to the tranmission channel to send the data before their batteries run out. In this article, we present a new technique called Energy based Collision Avoidance (ECA-MAC), that handles WSN energy constraints and the QoS designed for versatile applications. ECA-MAC protocol aims at controlling the access to the medium according to nodes energy level and at reducing the collision using different Contention Windows (CW). Our simulation results show that ECA-MAC protocol improves the QoS in terms of Packet Delivery Ratio (PDR), message latency, and energy consumption.
{"title":"Energy based collision avoidance at the MAC layer for wireless sensor network","authors":"Imad Iala, Mourad Ouadou, D. Aboutajdine, O. Zytoune","doi":"10.1109/ATSIP.2017.8075611","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075611","url":null,"abstract":"A Wireless Sensor Network (WSN) is a network of thousands of low-cost sensors which have a limited operating lifetime. A sensor node generally comprises four basic elements, including a transceiver unit, a detection unit, a processing unit, and an energy supply unit. One of the major challenges in the WSN is to increase the network life-time. Since the transmitting/receiving unit has the highest energy consumption, reducing it increases the network life-time significantly. In this work, we propose to differentiate resources or services in order to provide high performances of Quality of Service (QoS) to the prioritized node, since the Medium Access Control (MAC) layer is considered as the responsible that manages the access to the transmission channel. Therefore, we need to manage the quality of service of this layer in order to give high chance to nodes with a lower energy level to get access to the tranmission channel to send the data before their batteries run out. In this article, we present a new technique called Energy based Collision Avoidance (ECA-MAC), that handles WSN energy constraints and the QoS designed for versatile applications. ECA-MAC protocol aims at controlling the access to the medium according to nodes energy level and at reducing the collision using different Contention Windows (CW). Our simulation results show that ECA-MAC protocol improves the QoS in terms of Packet Delivery Ratio (PDR), message latency, and energy consumption.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134439690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-05-22DOI: 10.1109/ATSIP.2017.8075521
Driss Moujahid, O. Elharrouss, H. Tairi
In this paper, we propose a Local Soft Similarity based on Soft Cosine Measure (L3SCM) and then we incorporate it into visual tracking framework. Firstly, we present the soft cosine measure that measures the soft similarity between two vectors of features by taking into consideration similarities of pairs of features. Secondly, we apply this soft similarity in the observation model component of the proposed tracker to measure the local similarities between the template of the tracked target and the sampled candidates. Finally, in order to improve the robustness of the proposed tracker, we integrate a simple scheme to update the target template throughout the tracking process. Experimental results on several challenging image sequences illustrate that the proposed method performs better against several state-of-the-art trackers.
{"title":"Visual tracking of a moving object via the soft cosine measure","authors":"Driss Moujahid, O. Elharrouss, H. Tairi","doi":"10.1109/ATSIP.2017.8075521","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075521","url":null,"abstract":"In this paper, we propose a Local Soft Similarity based on Soft Cosine Measure (L3SCM) and then we incorporate it into visual tracking framework. Firstly, we present the soft cosine measure that measures the soft similarity between two vectors of features by taking into consideration similarities of pairs of features. Secondly, we apply this soft similarity in the observation model component of the proposed tracker to measure the local similarities between the template of the tracked target and the sampled candidates. Finally, in order to improve the robustness of the proposed tracker, we integrate a simple scheme to update the target template throughout the tracking process. Experimental results on several challenging image sequences illustrate that the proposed method performs better against several state-of-the-art trackers.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123869117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-05-22DOI: 10.1109/ATSIP.2017.8075571
I. Latachi, M. Karim, A. Hanafi, T. Rachidi, Ahmed Khalayoun, N. Assem, S. Dahbi, S. Zouggar
Communication links between a satellite and the ground station are subject to a lot of impairments and losses, such as noise and atmospheric attenuations, and Doppler shift effects. It is therefore paramount to design a reliable link that caters for these impairments. The main challenge is to design a communication subsystem that provides enough transmission power to close the link, while being power efficient and at the same time delivering the required link characteristics in terms of effective bit rate and bit error rate. In this paper, we present a link budget analysis for communication between a nano-satellite orbiting at LEO and a low cost mission control ground station. The analysis employs relevant deterministic, empirical, and statistical models as prediction tools, to make pertinent choices for both the flight nano-satellite compliant communication board, on the one hand and the ground station hardware and link protocols, on the other hand.
{"title":"Link budget analysis for a LEO cubesat communication subsystem","authors":"I. Latachi, M. Karim, A. Hanafi, T. Rachidi, Ahmed Khalayoun, N. Assem, S. Dahbi, S. Zouggar","doi":"10.1109/ATSIP.2017.8075571","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075571","url":null,"abstract":"Communication links between a satellite and the ground station are subject to a lot of impairments and losses, such as noise and atmospheric attenuations, and Doppler shift effects. It is therefore paramount to design a reliable link that caters for these impairments. The main challenge is to design a communication subsystem that provides enough transmission power to close the link, while being power efficient and at the same time delivering the required link characteristics in terms of effective bit rate and bit error rate. In this paper, we present a link budget analysis for communication between a nano-satellite orbiting at LEO and a low cost mission control ground station. The analysis employs relevant deterministic, empirical, and statistical models as prediction tools, to make pertinent choices for both the flight nano-satellite compliant communication board, on the one hand and the ground station hardware and link protocols, on the other hand.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121099150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-05-22DOI: 10.1109/ATSIP.2017.8075540
Abdellah El Kamili, A. Tribak, J. Terhzaz, A. Mediavilla
This paper describes the design and simulation of a waveguide multiband Orthomode Transducer (OMT) from 15 to 32 Ghz. The OMT is based on a symmetric backward coupling structure and has a square common waveguide input port and two single mode rectangular waveguide outputs. The coupling structure is located in the common rectangular waveguide and stepped to get the desired operating bands. The device was designed and optimized using Mician μwave wizard and CST Microwave Studio. From 15 to 33 GHz the simulated input return loss was about 30 dB, the isolation between the output ports was better than 40 dB. The circuit is designed regarding standard waveguide technology to meet feed chain requirement for antenna in satellite communications in wideband frequencies.
{"title":"Design and simulation of a multiband orthomodetransducer in k/Ka band for satellite communications","authors":"Abdellah El Kamili, A. Tribak, J. Terhzaz, A. Mediavilla","doi":"10.1109/ATSIP.2017.8075540","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075540","url":null,"abstract":"This paper describes the design and simulation of a waveguide multiband Orthomode Transducer (OMT) from 15 to 32 Ghz. The OMT is based on a symmetric backward coupling structure and has a square common waveguide input port and two single mode rectangular waveguide outputs. The coupling structure is located in the common rectangular waveguide and stepped to get the desired operating bands. The device was designed and optimized using Mician μwave wizard and CST Microwave Studio. From 15 to 33 GHz the simulated input return loss was about 30 dB, the isolation between the output ports was better than 40 dB. The circuit is designed regarding standard waveguide technology to meet feed chain requirement for antenna in satellite communications in wideband frequencies.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126781224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-05-22DOI: 10.1109/ATSIP.2017.8075525
Mohamed Hamidi, M. Haziti, H. Cherifi, D. Aboutajdine
Nowadays, three-dimensional meshes have been extensively used in several applications such as, industrial, medical, computer-aided design (CAD) and entertainment due to the processing capability improvement of computers and the development of the network infrastructure. Unfortunately, like digital images and videos, 3-D meshes can be easily modified, duplicated and redistributed by unauthorized users. Digital watermarking came up while trying to solve this problem. In this paper, we propose a blind robust watermarking scheme for three-dimensional semiregular meshes for Copyright protection. The watermark is embedded by modifying the norm of the wavelet coefficient vectors associated with the lowest resolution level using the edge normal norms as synchronizing primitives. The experimental results show that in comparison with alternative 3-D mesh watermarking approaches, the proposed method can resist to a wide range of common attacks, such as similarity transformations including translation, rotation, uniform scaling and their combination, noise addition, Laplacian smoothing, quantization, while preserving high imperceptibility.
{"title":"A robust blind 3-D mesh watermarking based on wavelet transform for copyright protection","authors":"Mohamed Hamidi, M. Haziti, H. Cherifi, D. Aboutajdine","doi":"10.1109/ATSIP.2017.8075525","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075525","url":null,"abstract":"Nowadays, three-dimensional meshes have been extensively used in several applications such as, industrial, medical, computer-aided design (CAD) and entertainment due to the processing capability improvement of computers and the development of the network infrastructure. Unfortunately, like digital images and videos, 3-D meshes can be easily modified, duplicated and redistributed by unauthorized users. Digital watermarking came up while trying to solve this problem. In this paper, we propose a blind robust watermarking scheme for three-dimensional semiregular meshes for Copyright protection. The watermark is embedded by modifying the norm of the wavelet coefficient vectors associated with the lowest resolution level using the edge normal norms as synchronizing primitives. The experimental results show that in comparison with alternative 3-D mesh watermarking approaches, the proposed method can resist to a wide range of common attacks, such as similarity transformations including translation, rotation, uniform scaling and their combination, noise addition, Laplacian smoothing, quantization, while preserving high imperceptibility.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122189923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-05-22DOI: 10.1109/ATSIP.2017.8075587
Y. E. Mourabit, O. Zamzoum
This paper work develops the dynamic model of a wind system based on a permanent magnet synchronous generator (PMSG). The dynamic modeling of the system requires prior knowledge of the parameters of the turbine, of the machine and of the static converters which are controlled by the pulse width modulation (PMW) to ensure the interconnection between the generator and the grid. Using a control approach called Field Oriented Control (FOC) based on optimum torque control (OTC) and using the Maximum Power Point Tracking (MPPT) method, the system can operate at a variable wind speed in an optimal way. The simulation results and the global system are simulated under the MATLAB / Simulink environment.
{"title":"Dynamic modeling and control of a wind turbine with MPPT control connected to the grid by using PMSG","authors":"Y. E. Mourabit, O. Zamzoum","doi":"10.1109/ATSIP.2017.8075587","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075587","url":null,"abstract":"This paper work develops the dynamic model of a wind system based on a permanent magnet synchronous generator (PMSG). The dynamic modeling of the system requires prior knowledge of the parameters of the turbine, of the machine and of the static converters which are controlled by the pulse width modulation (PMW) to ensure the interconnection between the generator and the grid. Using a control approach called Field Oriented Control (FOC) based on optimum torque control (OTC) and using the Maximum Power Point Tracking (MPPT) method, the system can operate at a variable wind speed in an optimal way. The simulation results and the global system are simulated under the MATLAB / Simulink environment.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134537560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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