Pub Date : 2020-04-01DOI: 10.1109/IRASET48871.2020.9092082
O. Terrada, B. Cherradi, A. Raihani, O. Bouattane
Atherosclerosis disease, also known as coronary artery disease (CAD) is the major reason to increase the mortality rate around the world. Indeed, there is a lack of improvement in the early diagnosis of cardiovascular diseases. Thus, doctors need a trustworthy system to minimize diagnostic errors and to avoid critically surgeries. This contribution is articulated around a Medical Decision Support System (MDSS) design for atherosclerosis, able to take precautionary steps using the patient's clinical parameters. This MDSS is based on supervised machine learning (ML) algorithms. We use Artificial Neural Network (ANN) and K-Nearest Neighbor (KNN) to predict patients with or without atherosclerosis disease in an established database. The system is validated on Cleveland heart disease, Hungarian, Switzerland, and Long Beach VA databases. The performance of the proposed system is evaluated using accuracy, sensitivity and specificity as well-known similarity measures. Our system outperforms currently similar published research.
{"title":"Atherosclerosis disease prediction using Supervised Machine Learning Techniques","authors":"O. Terrada, B. Cherradi, A. Raihani, O. Bouattane","doi":"10.1109/IRASET48871.2020.9092082","DOIUrl":"https://doi.org/10.1109/IRASET48871.2020.9092082","url":null,"abstract":"Atherosclerosis disease, also known as coronary artery disease (CAD) is the major reason to increase the mortality rate around the world. Indeed, there is a lack of improvement in the early diagnosis of cardiovascular diseases. Thus, doctors need a trustworthy system to minimize diagnostic errors and to avoid critically surgeries. This contribution is articulated around a Medical Decision Support System (MDSS) design for atherosclerosis, able to take precautionary steps using the patient's clinical parameters. This MDSS is based on supervised machine learning (ML) algorithms. We use Artificial Neural Network (ANN) and K-Nearest Neighbor (KNN) to predict patients with or without atherosclerosis disease in an established database. The system is validated on Cleveland heart disease, Hungarian, Switzerland, and Long Beach VA databases. The performance of the proposed system is evaluated using accuracy, sensitivity and specificity as well-known similarity measures. Our system outperforms currently similar published research.","PeriodicalId":271840,"journal":{"name":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124239630","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}
The absorption of electromagnetic radiation by gold nanoparticles at the nanometer scale is of prime importance in several applications owing to the strong plasmon field at the surface. Further, the electron-phonon and phonon-phonon interactions converting the absorbed radiation into heat is vital for cancer cell imaging and photothermal therapy. In the present study, we report on a numerical investigation of gold nanorods bathing in a tumorous tissue. Moreover, emphasis is put on a numerical simulation of the plasmonic response of the gold nanorods and the effect of geometric parameters variation. The computations are done using a theoretical model where the Maxwell’s equations are solved in the frequency domain using the finite element method. The evaluation of the change in the frequency at maximum absorption as a function of geometric parameters is discussed. These results should guide design of optimized optical contrast agents for molecular imaging.
{"title":"Plasmonic Nanorods investigating for cancer cell imaging and photothermal therapy","authors":"Ouabida Elhoussaine, Essadike Abdelaziz, Mangach Hicham, Bouzid Abdenbi","doi":"10.1109/IRASET48871.2020.9092075","DOIUrl":"https://doi.org/10.1109/IRASET48871.2020.9092075","url":null,"abstract":"The absorption of electromagnetic radiation by gold nanoparticles at the nanometer scale is of prime importance in several applications owing to the strong plasmon field at the surface. Further, the electron-phonon and phonon-phonon interactions converting the absorbed radiation into heat is vital for cancer cell imaging and photothermal therapy. In the present study, we report on a numerical investigation of gold nanorods bathing in a tumorous tissue. Moreover, emphasis is put on a numerical simulation of the plasmonic response of the gold nanorods and the effect of geometric parameters variation. The computations are done using a theoretical model where the Maxwell’s equations are solved in the frequency domain using the finite element method. The evaluation of the change in the frequency at maximum absorption as a function of geometric parameters is discussed. These results should guide design of optimized optical contrast agents for molecular imaging.","PeriodicalId":271840,"journal":{"name":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131464448","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 : 2020-04-01DOI: 10.1109/IRASET48871.2020.9092185
A. Nassir, B. Fakrach, A. Rahmani, S. Abdelkader, M. Boutahir, H. Chadli, A. Rahmani
Polarized Raman spectra of single-walled carbon nanotube (SWCNT) inside single-walled boron nitride nanotube (SWBNNT) are calculated as a function of their diameter and chirality. The spectral moment’s method was shown to be a powerful tool for determining vibrational spectra (infrared absorption, Raman scattering and inelastic neutron-scattering spectra) of harmonic systems. The calculations of vibrational properties of double-walled hybrid nanostructures SWCNT inside SWBNNT (SWCNT@SWBNNT) are performed in the framework of the force constants model, using the spectral moment’s method (SMM). To describe the Van der Waals interactions between inner and outer tubes in hybrid systems, we used a Lennard-Jones potential. These predictions are useful to interpret the experimental data.
{"title":"Vibrational Properties of Single Wall Carbon Nanotubes inside Boron nitride Nanotubes using Raman spectroscopy","authors":"A. Nassir, B. Fakrach, A. Rahmani, S. Abdelkader, M. Boutahir, H. Chadli, A. Rahmani","doi":"10.1109/IRASET48871.2020.9092185","DOIUrl":"https://doi.org/10.1109/IRASET48871.2020.9092185","url":null,"abstract":"Polarized Raman spectra of single-walled carbon nanotube (SWCNT) inside single-walled boron nitride nanotube (SWBNNT) are calculated as a function of their diameter and chirality. The spectral moment’s method was shown to be a powerful tool for determining vibrational spectra (infrared absorption, Raman scattering and inelastic neutron-scattering spectra) of harmonic systems. The calculations of vibrational properties of double-walled hybrid nanostructures SWCNT inside SWBNNT (SWCNT@SWBNNT) are performed in the framework of the force constants model, using the spectral moment’s method (SMM). To describe the Van der Waals interactions between inner and outer tubes in hybrid systems, we used a Lennard-Jones potential. These predictions are useful to interpret the experimental data.","PeriodicalId":271840,"journal":{"name":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131307321","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 : 2020-04-01DOI: 10.1109/IRASET48871.2020.9092094
Anouar Bachar, Noureddine El Makhfi, Omar El Bannay
A behavioral IDS (Intrusion Detection System) is an effective tool for the detection of computer network intrusions, especially the most recent ones. However, the behavioral IDS have a very high false alarm rate compared to traditional IDS that use a signature base for each intrusion. In this paper, we propose an original method of network intrusion detection using machine learning techniques. Our method is based on a behavioral IDS capable of identifying new attacks without using a signature database. We use the SVM (Support Vector Machine) classification model with two cores (Polynomial and Gaussian). This model is trained and tested with the UNSW-NB15 dataset. We have obtained interesting results in terms of detection rate (DR) in comparison with other classification models (ANN, RepTree, Random Forest, MLP).
行为入侵检测系统(IDS)是检测计算机网络入侵，特别是最新入侵的有效工具。然而，与对每个入侵使用签名库的传统IDS相比，行为IDS具有非常高的误报率。在本文中，我们提出了一种使用机器学习技术的网络入侵检测方法。我们的方法是基于一种行为IDS，能够在不使用特征库的情况下识别新的攻击。我们使用支持向量机(SVM)两核(多项式和高斯)分类模型。该模型使用UNSW-NB15数据集进行训练和测试。与其他分类模型(ANN, RepTree, Random Forest, MLP)相比，我们在检出率(DR)方面获得了有趣的结果。
{"title":"Towards a behavioral network intrusion detection system based on the SVM model","authors":"Anouar Bachar, Noureddine El Makhfi, Omar El Bannay","doi":"10.1109/IRASET48871.2020.9092094","DOIUrl":"https://doi.org/10.1109/IRASET48871.2020.9092094","url":null,"abstract":"A behavioral IDS (Intrusion Detection System) is an effective tool for the detection of computer network intrusions, especially the most recent ones. However, the behavioral IDS have a very high false alarm rate compared to traditional IDS that use a signature base for each intrusion. In this paper, we propose an original method of network intrusion detection using machine learning techniques. Our method is based on a behavioral IDS capable of identifying new attacks without using a signature database. We use the SVM (Support Vector Machine) classification model with two cores (Polynomial and Gaussian). This model is trained and tested with the UNSW-NB15 dataset. We have obtained interesting results in terms of detection rate (DR) in comparison with other classification models (ANN, RepTree, Random Forest, MLP).","PeriodicalId":271840,"journal":{"name":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114385925","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 : 2020-04-01DOI: 10.1109/IRASET48871.2020.9092040
A. Benayad, A. Touache, A. E. Hakimi, M. Boutaous, R. Otmani
in microinjection molding process, the accurate coupling between the dynamic multi-flow and crystallization kinetics is one of the challenging task, in term to predict accurately the evolution of the main characteristic processing parameters. Interestingly, the melt behaves differently in a micro-scale from the macro-scale. Capillary effect, conservative biphasic flow and the interfacial heat resistance between melt and mold are to consider for ensuring a reliable simulation. This paper aims to analyze the effect of a quiescent and stress induced crystallinity models. Results show that the stress-induced crystallinity predicts the formation of the skin layer during the mold-filling phase, the quiescent model seems to be insufficient to predict the material solidification during the mold-filling phase.
{"title":"A stress induced crystallinity model under the microinjection molding process","authors":"A. Benayad, A. Touache, A. E. Hakimi, M. Boutaous, R. Otmani","doi":"10.1109/IRASET48871.2020.9092040","DOIUrl":"https://doi.org/10.1109/IRASET48871.2020.9092040","url":null,"abstract":"in microinjection molding process, the accurate coupling between the dynamic multi-flow and crystallization kinetics is one of the challenging task, in term to predict accurately the evolution of the main characteristic processing parameters. Interestingly, the melt behaves differently in a micro-scale from the macro-scale. Capillary effect, conservative biphasic flow and the interfacial heat resistance between melt and mold are to consider for ensuring a reliable simulation. This paper aims to analyze the effect of a quiescent and stress induced crystallinity models. Results show that the stress-induced crystallinity predicts the formation of the skin layer during the mold-filling phase, the quiescent model seems to be insufficient to predict the material solidification during the mold-filling phase.","PeriodicalId":271840,"journal":{"name":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121981061","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 : 2020-04-01DOI: 10.1109/IRASET48871.2020.9092112
Amel Garbaya, M. Kotti, M. Fakhfakh, B. Benhala
The Jaya algorithm has been recently developed. It is a simple and powerful global optimization algorithm. The main feature of Jaya algorithm vis-à-vis other known metaheuristics algorithms is that it requires only few control parameters namely the number of generations the population size, and the number of design variables. In this paper, we deal with the application of Jaya to a benchmark function and to the optimal design of RF circuits, namely low-noise amplifiers. We show that it has a better convergence than the particular swarm optimization technique PSO, the backtracking search algorithm BSA and the genetic algorithm GA.
{"title":"Comparative Study of Jaya Metaheuristic to Benchmark Functions and RF Circuits","authors":"Amel Garbaya, M. Kotti, M. Fakhfakh, B. Benhala","doi":"10.1109/IRASET48871.2020.9092112","DOIUrl":"https://doi.org/10.1109/IRASET48871.2020.9092112","url":null,"abstract":"The Jaya algorithm has been recently developed. It is a simple and powerful global optimization algorithm. The main feature of Jaya algorithm vis-à-vis other known metaheuristics algorithms is that it requires only few control parameters namely the number of generations the population size, and the number of design variables. In this paper, we deal with the application of Jaya to a benchmark function and to the optimal design of RF circuits, namely low-noise amplifiers. We show that it has a better convergence than the particular swarm optimization technique PSO, the backtracking search algorithm BSA and the genetic algorithm GA.","PeriodicalId":271840,"journal":{"name":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115695984","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 : 2020-04-01DOI: 10.1109/IRASET48871.2020.9092023
T. Hallabi, I. Lachkar, S. L. Elhaq
In this work, we propose nonlinear control for three-phase active power filter (APF) to compensate reactive and harmonic power generated by the linear, nonlinear, and nonlinear unbalanced load. The proposed control strategy direct power control (DPC) uses the concept of direct control for active power (DCAP) to extract the harmonic power generated by the nonlinear load and the reference value of the active power. Based on the average model of the (APF) system, we have used the Back-stepping technic to elaborate the power’s regulator and integrative-proportional (PI) regulator to regulate the voltage DC-link capacitor. Moreover, in this study, we supposed that the grid source voltage is not accessible to the measurement and the reactance of the network, not nil, in order to render better the control performance. For that, we have developed a Luenberger observer to estimate the source voltage of the network. The control objective of this work is threefold. i) the APF must compensate the reactive and deformed power generated by the loads, ii) maintain the DC bus voltage stable. Moreover, iii) the observer must provide the estimate instantaneous value of the grid source voltage. The simulation result using the Matlab/Simulink environment shows that the control strategy succeeds to improve power quality with various load conditions.
{"title":"Direct Power Control for three phase active power filter with observer for the source’s voltage","authors":"T. Hallabi, I. Lachkar, S. L. Elhaq","doi":"10.1109/IRASET48871.2020.9092023","DOIUrl":"https://doi.org/10.1109/IRASET48871.2020.9092023","url":null,"abstract":"In this work, we propose nonlinear control for three-phase active power filter (APF) to compensate reactive and harmonic power generated by the linear, nonlinear, and nonlinear unbalanced load. The proposed control strategy direct power control (DPC) uses the concept of direct control for active power (DCAP) to extract the harmonic power generated by the nonlinear load and the reference value of the active power. Based on the average model of the (APF) system, we have used the Back-stepping technic to elaborate the power’s regulator and integrative-proportional (PI) regulator to regulate the voltage DC-link capacitor. Moreover, in this study, we supposed that the grid source voltage is not accessible to the measurement and the reactance of the network, not nil, in order to render better the control performance. For that, we have developed a Luenberger observer to estimate the source voltage of the network. The control objective of this work is threefold. i) the APF must compensate the reactive and deformed power generated by the loads, ii) maintain the DC bus voltage stable. Moreover, iii) the observer must provide the estimate instantaneous value of the grid source voltage. The simulation result using the Matlab/Simulink environment shows that the control strategy succeeds to improve power quality with various load conditions.","PeriodicalId":271840,"journal":{"name":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123375230","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 : 2020-04-01DOI: 10.1109/IRASET48871.2020.9092046
Mohamed Jarjar, Said Najah, Khalid Zenkouar, Said Hraoui
In this article, a new encryption system that takes as an input an arbitrary size color image (n, m), and generates an encrypted image of the same size at the output, will be proposed. On each three-pixel block, an improvement of the classical HILL method provided by a size matrix (3, 3) invertible in the $Z/256Z$ ring, accompanied by a chaotic translation vector. Then a confusion with the chaotic map is established with the output vector. Finally, a chain with the clear block is performed to increase the avalanche effect. Simulations performed on a large number of images of different sizes and formats, show that our approach can withstand all known attacks.
{"title":"Further improvement of the HILL method applied in image encryption","authors":"Mohamed Jarjar, Said Najah, Khalid Zenkouar, Said Hraoui","doi":"10.1109/IRASET48871.2020.9092046","DOIUrl":"https://doi.org/10.1109/IRASET48871.2020.9092046","url":null,"abstract":"In this article, a new encryption system that takes as an input an arbitrary size color image (n, m), and generates an encrypted image of the same size at the output, will be proposed. On each three-pixel block, an improvement of the classical HILL method provided by a size matrix (3, 3) invertible in the $Z/256Z$ ring, accompanied by a chaotic translation vector. Then a confusion with the chaotic map is established with the output vector. Finally, a chain with the clear block is performed to increase the avalanche effect. Simulations performed on a large number of images of different sizes and formats, show that our approach can withstand all known attacks.","PeriodicalId":271840,"journal":{"name":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130154691","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 : 2020-04-01DOI: 10.1109/IRASET48871.2020.9092084
Alami Hamza, Noureddine En-Nahnahi, S. A. Ouatik
Identifying the category of a question is an essential task in Question Answering Systems. Contextual continuous word representation proved to be effective in various natural language processing tasks. However, these models have not been considered in the field of Arabic question classification. In this paper, we investigate the use of a contextual word representation named Embeddings from Language Models (ELMo) on Arabic question classification. We study the behaviour of this representation by building numerous neural network architectures trained to classify questions. The dataset contains 3173 questions annotated with two taxonomies including Arabic taxonomy and an updated Li & Roth taxonomy. By comparing to enriched word2vec with subword information technique, which is a context-free representation, we show that ELMo representation achieves better performance at the cost of reduced sized word vector. The best classifier achieves up to 94% in terms of accuracy, macro F 1 score, and weighted F 1 score.
在问答系统中，识别问题的类别是一项基本任务。上下文连续词表示在各种自然语言处理任务中被证明是有效的。然而，这些模型尚未在阿拉伯语问题分类领域得到考虑。在本文中，我们研究了一种名为“语言模型嵌入”(Embeddings from Language Models, ELMo)的上下文词表示在阿拉伯语问题分类中的使用。我们通过建立大量训练来分类问题的神经网络架构来研究这种表示的行为。该数据集包含3173个问题，用两种分类法注释，包括阿拉伯语分类法和更新的Li & Roth分类法。通过与上下文无关表示的子词信息技术进行比较，我们发现ELMo表示在减少词向量大小的代价下获得了更好的性能。最好的分类器在准确率、宏观f1分数和加权f1分数方面达到94%。
{"title":"Exploring Contextual word representation for Arabic question classification","authors":"Alami Hamza, Noureddine En-Nahnahi, S. A. Ouatik","doi":"10.1109/IRASET48871.2020.9092084","DOIUrl":"https://doi.org/10.1109/IRASET48871.2020.9092084","url":null,"abstract":"Identifying the category of a question is an essential task in Question Answering Systems. Contextual continuous word representation proved to be effective in various natural language processing tasks. However, these models have not been considered in the field of Arabic question classification. In this paper, we investigate the use of a contextual word representation named Embeddings from Language Models (ELMo) on Arabic question classification. We study the behaviour of this representation by building numerous neural network architectures trained to classify questions. The dataset contains 3173 questions annotated with two taxonomies including Arabic taxonomy and an updated Li & Roth taxonomy. By comparing to enriched word2vec with subword information technique, which is a context-free representation, we show that ELMo representation achieves better performance at the cost of reduced sized word vector. The best classifier achieves up to 94% in terms of accuracy, macro F 1 score, and weighted F 1 score.","PeriodicalId":271840,"journal":{"name":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129046913","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 : 2020-04-01DOI: 10.1109/IRASET48871.2020.9092053
Mohamed Makhad, M. Zazi, Azeddine Loulijat, Adekanle Oluwaseun Simon
This paper investigates a robust control strategy for optimizing the maximum power captured in Wind Energy Conversion Systems (WECS) based on permanent magnet synchronous generators (PMSG) with variable speed. To track the maximum power point (MPP), the rotational speed of the PMSG is controlled via the machine side converter (MSC). In order to achieve the maximum power point (MPPT) the machine side converter regulates the rotational speed of the PMSG to track the optimal speed delivered by MPPT block. To improve the performances of the generator side, the integral backstepping control approach (IBC) has been designed for MSC converter. Finally, to evaluate the effectiveness of the proposed strategy, a comparative study has been carried out between the IBC controller and Sliding Mode control (SMC) by simulation.
{"title":"Robust Integral Backstepping control for Optimal Power Extraction of a PMSG-based Variable Speed Wind Turbines","authors":"Mohamed Makhad, M. Zazi, Azeddine Loulijat, Adekanle Oluwaseun Simon","doi":"10.1109/IRASET48871.2020.9092053","DOIUrl":"https://doi.org/10.1109/IRASET48871.2020.9092053","url":null,"abstract":"This paper investigates a robust control strategy for optimizing the maximum power captured in Wind Energy Conversion Systems (WECS) based on permanent magnet synchronous generators (PMSG) with variable speed. To track the maximum power point (MPP), the rotational speed of the PMSG is controlled via the machine side converter (MSC). In order to achieve the maximum power point (MPPT) the machine side converter regulates the rotational speed of the PMSG to track the optimal speed delivered by MPPT block. To improve the performances of the generator side, the integral backstepping control approach (IBC) has been designed for MSC converter. Finally, to evaluate the effectiveness of the proposed strategy, a comparative study has been carried out between the IBC controller and Sliding Mode control (SMC) by simulation.","PeriodicalId":271840,"journal":{"name":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127723197","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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