020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)最新文献

Adaptive Fuzzy-Chebyshev Network-based Continuous Sliding Mode Controller for Quadrotor Unmanned Aerial Vehicle 基于自适应模糊chebyshev网络的四旋翼无人机连续滑模控制器

020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP) Pub Date : 2020-05-01 DOI: 10.1109/CCSSP49278.2020.9151733

Lemya Guettal, A. Chelihi, Mostefa Mohamed Touba, Hossam-Eddine Glida, R. Ajgou

引用次数: 0

GaN/Inx Ga1-x N/B0.01 Ga0.99 N Double Heterojunction Field Effect Transistor DH-FET for electronics power application. GaN/Inx Ga1-x N/B0.01 Ga0.99 N双异质结场效应晶体管h - fet，用于电子电源应用。

020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP) Pub Date : 2020-05-01 DOI: 10.1109/CCSSP49278.2020.9151785

A. Belarbi, A. Hamdoune

{"title":"GaN/Inx Ga1-x N/B0.01 Ga0.99 N Double Heterojunction Field Effect Transistor DH-FET for electronics power application.","authors":"A. Belarbi, A. Hamdoune","doi":"10.1109/CCSSP49278.2020.9151785","DOIUrl":"https://doi.org/10.1109/CCSSP49278.2020.9151785","url":null,"abstract":"This paper aims to study a GaN/In$_{x} Ga_{1}xN/B_{0.01} Ga_{0.99}$ N Double Heterojunction Field Effect Transistor (DH-FET) by using SILVACO TCAD two and three dimensional device simulator. The structure is based on an undoped In$_{x} Ga_{1} x$ N as channel layer and an undopped back-barrier layer of B$_{x} Ga_{1-x}$N. The thickness of the channel layer has been fixed at 10 nm and we change the indium content in the alloy In$_{x} Ga_{1-x}$N of the channel layer, 10%, 25%, 50%, 75%, and 100% to get a channel layer only with nitride indium (InN). Some DC and AC performances of the transistor are simulated for each indium concentration.The increase of indium concentration in the In$_{x} Ga_{1-x}$N channel significantly improves the performances due to its excellent electrical properties and deep quantum well, and the introduction of resistive material B$_{x} Ga_{1-x}$N as back barrier layer with 1% of boron concentration serves to improve the performances due to better confinement of (2DEG) two dimensional electron gas. With 20 nm gate length, the transistor demonstrates a maximum drain-source current (Ids) of 1.2 A/mm, a maximum transconductance (gm) of 425 mS mm$^{-1}$, a gate-leakage current of 3.10$^{-9}$ A, a cut-off frequency (Ft) of 850 GHz, and a maximum oscillation frequency (Fmax) of 1.5 THz.","PeriodicalId":401063,"journal":{"name":"020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115247998","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}

引用次数: 0

Analysis of a novel designed bowtie shaped DNG metamaterial for satellite applications 一种新型卫星用领结型DNG超材料的设计分析

020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP) Pub Date : 2020-05-01 DOI: 10.1109/CCSSP49278.2020.9151749

A. Annou, S. Berhab, F. Chebbara, T. Messatfa

引用次数: 1

IdPiezo: An Interactive Tool for Piezoelectric Actuator Parameters Identification and control IdPiezo:一个用于压电作动器参数识别和控制的交互式工具

020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP) Pub Date : 2020-05-01 DOI: 10.1109/CCSSP49278.2020.9151608

Maxime Thériault, R. Irakoze, Amor Ounissi, A. Kaddouri, Y. Bouslimani, M. Ghribi

引用次数: 1

Predictive Power Control for Photovoltaic Grid Connected System with Reduction of Switching Frequency 降低开关频率的光伏并网系统预测功率控制

020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP) Pub Date : 2020-05-01 DOI: 10.1109/CCSSP49278.2020.9151724

Zakaria Lammouchi, Y. Bekakra

引用次数: 0

Management of Hybrid PV/Battery Stand-alone System under Partial Shading Conditions 部分遮阳条件下混合光伏/电池独立系统的管理

020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP) Pub Date : 2020-05-01 DOI: 10.1109/CCSSP49278.2020.9151784

A. Yasmine, Bradai Rafik, Boukenoui Rachid, Mellit Adel

{"title":"Management of Hybrid PV/Battery Stand-alone System under Partial Shading Conditions","authors":"A. Yasmine, Bradai Rafik, Boukenoui Rachid, Mellit Adel","doi":"10.1109/CCSSP49278.2020.9151784","DOIUrl":"https://doi.org/10.1109/CCSSP49278.2020.9151784","url":null,"abstract":"This paper proposes a Management Algorithm (MA) for a hybrid PV/battery stand-alone system. The main purpose is to ensure the ongoing availability of energy for supplying the load. Meanwhile, guarantee a maximum of stability during perturbations of production and Partial Shading (PS) conditions. The interfaced power electronic converters for the Photovoltaic Generator (PVG) and battery are controlled separately. To harvest the maximum power from the PVG and control the boost converter, a Hill Climbing-Particle Swarm optimization (HC-PSO) is used. A double PI control loop is designed to manage the bidirectional buck-boost converter interfacing the battery storage to the load side. The aim of this latter is to maintain the delivered power to the load under varying weather conditions. Simulations are performed using MATLAB/Simulink. Then, three cases are considered to be analyzed for assessing the consistency of the MA: (1) under standard conditions when the rated power is sufficient to charge the battery and supply the load; (2) under fast varying irradiance conditions and (3) under PS. The results confirm the reliability and effectiveness of the proposed MA in controlling stand-alone PV systems.","PeriodicalId":401063,"journal":{"name":"020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114687555","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}

引用次数: 3

CCSSP 2020 Copyright Page CCSSP 2020版权页面

020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP) Pub Date : 2020-05-01 DOI: 10.1109/ccssp49278.2020.9151544

引用次数: 0

Switched Inductor Z-source/quasi Z-source Network: State of Art and Challenges 开关电感z源/准z源网络:技术现状与挑战

020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP) Pub Date : 2020-05-01 DOI: 10.1109/CCSSP49278.2020.9151519

Abderahmane Abid, L. Zellouma, M. Bouzidi, Abderezak Lashab, B. Rabhi

引用次数: 4

Regularized Length Changeable Extreme Learning Machine with Incremental Learning Enhancements for Remaining Useful Life Prediction of Aircraft Engines 基于增量学习增强的正则化长度可变极限学习机用于飞机发动机剩余使用寿命预测

020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP) Pub Date : 2020-05-01 DOI: 10.1109/CCSSP49278.2020.9151607

Tarek Berghout, L. Mouss, Ouahab KADRI, Nadjiha Hadjidj

{"title":"Regularized Length Changeable Extreme Learning Machine with Incremental Learning Enhancements for Remaining Useful Life Prediction of Aircraft Engines","authors":"Tarek Berghout, L. Mouss, Ouahab KADRI, Nadjiha Hadjidj","doi":"10.1109/CCSSP49278.2020.9151607","DOIUrl":"https://doi.org/10.1109/CCSSP49278.2020.9151607","url":null,"abstract":"the main objective of this works is to study and improve the performances of the Single hidden Layer Feedforward Neural network (SLFN) for the application of Remaining Useful Life (RUL) prediction of aircraft engines. The most common problems in SLFNs based old training algorithms such as backpropagation are time consuming, over-fitting and the appropriate network architecture identification. In this paper a new incremental constructive learning algorithm based on Extreme Learning Machine algorithm is proposed for founding the appropriate architecture of a neural network under less computational costs. The aim of the proposed training approach is to study its maximum capabilities during RUL prediction by reducing over-fitting and human intervention. The performances of the proposed approach which are evaluated on C-MAPPS dataset and compared with its original variant from the literature. Experimental results proved that the new algorithm outperforms the old one in many metrics evaluations.","PeriodicalId":401063,"journal":{"name":"020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132326693","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}

引用次数: 3

A Comparative Study for Broken Rotor Bars Fault Detection in Induction Machine using DWT and MUSIC techniques 小波变换与MUSIC技术在感应电机转子断条故障检测中的比较研究

020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP) Pub Date : 2020-05-01 DOI: 10.1109/CCSSP49278.2020.9151772

S. Bensaoucha, S. Bessedik, A. Ameur, S. Moreau, Ali Teta

引用次数: 1