2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)最新文献_第10页

Design Validation of Compact UWB Bandpass Filter using Stepped-Impedance Stub and DGS Techniques 采用阶跃阻抗短段和DGS技术的紧凑型UWB带通滤波器设计验证

2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) Pub Date : 2022-12-19 DOI: 10.1109/STA56120.2022.10019155

M. Challal, A. Skoudarli, M. A. Aliouane

引用次数: 0

Stator fault detection of the PMSG under the sliding mode control in wind energy conversion system 风电转换系统滑模控制下永磁同步电机定子故障检测

2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) Pub Date : 2022-12-19 DOI: 10.1109/STA56120.2022.10019025

S. Bouslimani, L. Chrifi-Alaoui, Samir Merad, Laurant Delahoche, P. Bussy, S. Drid

{"title":"Stator fault detection of the PMSG under the sliding mode control in wind energy conversion system","authors":"S. Bouslimani, L. Chrifi-Alaoui, Samir Merad, Laurant Delahoche, P. Bussy, S. Drid","doi":"10.1109/STA56120.2022.10019025","DOIUrl":"https://doi.org/10.1109/STA56120.2022.10019025","url":null,"abstract":"This paper proposes a method for the diagnosis of stator inter-turn short circuit fault for Permanent Magnet Synchronous Generators (PMSG). This approach uses the parameter estimation of the per-phase stator resistance in closed loop control of variable speed of Wind Energy Conversion System (WECS). In the presence of an incipient short-circuit fault, the estimation of the stator resistance in the synchronous reference frame does not make it possible to give the exact information. To solve this problem, a novel fault diagnosis scheme is proposed to estimate the stator winding resistance in three-phase reference frame. The per-phase stator resistance of PMSG is estimated by the on-line MRAS algorithm. This diagnosis detects the fault severity in real time for each stator winding phase. The approach is implemented without the addition of any new devices; moreover, the estimated parameters will be used on the control performance improvement. The simulation results demonstrate that the proposed method can estimate the faulty phase.","PeriodicalId":430966,"journal":{"name":"2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132066668","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

A Digital Twin Study: Particle Swarm Optimization of ACC Controller for Follow Acceleration Maneuver 数字孪生研究:随动加速机动ACC控制器的粒子群优化

2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) Pub Date : 2022-12-19 DOI: 10.1109/STA56120.2022.10019084

Batuhan Durukal, S. Kınay, Namik Zengin, Batuhan Günaydm, Bekir Öztürk, Sarp Kaya Yetkin

{"title":"A Digital Twin Study: Particle Swarm Optimization of ACC Controller for Follow Acceleration Maneuver","authors":"Batuhan Durukal, S. Kınay, Namik Zengin, Batuhan Günaydm, Bekir Öztürk, Sarp Kaya Yetkin","doi":"10.1109/STA56120.2022.10019084","DOIUrl":"https://doi.org/10.1109/STA56120.2022.10019084","url":null,"abstract":"A digital twin (DT) is a technology that allows to create a virtual copy of a real-world system or product. This allows real-world activities to be synchronized, validated and production costs to be reduced. In this study, a DT model is developed to simulate the maneuvers of the vehicle in the virtual environment and optimize the vehicles' control parameters within the scope of Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD) applications. In order to create and validate the DT, we focused on the follow acceleration maneuver (FAM). Firstly, road tests were carried out based on the cases, and vehicle dynamics relevant data were collected with the sensors. The collected data were used to generate scenario files containing static and dynamic environmental information, and movements of road users using ASAM OpenDRIVE® (ODR) and ASAM OpenSCENARIO® (OSC) scenario modelling standards, respectively. The Model. CONNECT™ co-simulation platform (CSP), which enables subsystems containing vehicle model, controller, and scenario information to work together, was used to simulate maneuvers regarding the generated scenarios. While creating the DT, the parameters in the vehicle model were tuned by performing the coastdown maneuver as well as FAM. After all, subsystems were integrated into the AVL Model. CONNECT™ (MC), FAM is performed and controller parameters were optimized using the particle swarm optimization (PSO) algorithm. The main goal of this study is to analyze and validate the DT model, then optimize controller parameters of adaptive cruise control (ACC) with the DT.","PeriodicalId":430966,"journal":{"name":"2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127969373","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

Intelligent Energy Management for a Building DC Nanogrid 建筑直流纳米电网的智能能源管理

2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) Pub Date : 2022-12-19 DOI: 10.1109/STA56120.2022.10019027

Y. Amrane, N. Kouba, Y. Hentabli, H. Mohamed-Seghir

{"title":"Intelligent Energy Management for a Building DC Nanogrid","authors":"Y. Amrane, N. Kouba, Y. Hentabli, H. Mohamed-Seghir","doi":"10.1109/STA56120.2022.10019027","DOIUrl":"https://doi.org/10.1109/STA56120.2022.10019027","url":null,"abstract":"Nowadays, the world is subject to the development of science and technology, transforming all the old systems into new and more efficient ones, and power grids are the perfect example of this development. Conventional power grids are a source of frequent problems, including line losses that cause instability in the distribution of electricity and a huge impact on the environment, causing damage related to climate change. Addressing these problems is seen as an action to achieve sustainable development goals, to ensure a better future. Energy plays a role in improving these goals, which makes automation a very important tool for establishing a more intelligent and reliable distribution. Among these solutions are DC nanogrids, which have the ability to generate energy using their own renewable resources, even in remote areas thanks to artificial intelligence. They can be automatically regulated to prevent energy shortages. This work aims to intelligently manage the distribution of energy produced by several renewable sources in a DC nanogrid. To solve this problem and to ensure a good energy management we have opted to use Fuzzy logic method as artificial intelligence element that controls the energy management in the nanogrid. The simulation results obtained from the proposed algorithm show that it is able to effectively manage the balance between the renewable energy power produced by the nanogrid without causing power imbalance or disruption of the overall system.","PeriodicalId":430966,"journal":{"name":"2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116591813","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

An Efficient Kernel KNN classifier for Activity Recognition on Smartphone 智能手机活动识别的高效核KNN分类器

2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) Pub Date : 2022-12-19 DOI: 10.1109/STA56120.2022.10019099

M. Abidine, B. Fergani

引用次数: 0

Actuator Fault Reconstruction for a Class of OSL Nonlinear Systems 一类OSL非线性系统的执行器故障重构

2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) Pub Date : 2022-12-19 DOI: 10.1109/STA56120.2022.10019079

O. Naifar, H. Gassara, Mourad Elloumi, A. Jmal

引用次数: 0

Automated Scanning of Concrete Structures for Crack Detection and Assessment Using a Drone 基于无人机的混凝土结构裂缝检测与评估自动扫描

2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) Pub Date : 2022-12-19 DOI: 10.1109/STA56120.2022.10019224

Amna Smaoui, Yacine Yaddaden, Raef Chérif, Dorra Lamouchi

引用次数: 0

Reconstruction of 12-lead ECG with an Optimized LSTM Neural Network 基于优化LSTM神经网络的12导联心电图重构

2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) Pub Date : 2022-12-19 DOI: 10.1109/STA56120.2022.10019143

Nizar Dhahri, N. Majdoub, T. Ladhari, A. Sakly, Faouzi Msahli

{"title":"Reconstruction of 12-lead ECG with an Optimized LSTM Neural Network","authors":"Nizar Dhahri, N. Majdoub, T. Ladhari, A. Sakly, Faouzi Msahli","doi":"10.1109/STA56120.2022.10019143","DOIUrl":"https://doi.org/10.1109/STA56120.2022.10019143","url":null,"abstract":"Cardiac-related diseases take the lives of more than 17 million lives around the world. Among the most cardiac vital signs used in clinics and hospitals are Standard 12-lead electrocardiogram (ECG) signals. Nonetheless, due to many electrodes having be connected in order to acquire all 12 signals, Standard (ECG) remains highly sensitive to ambient and body noise which strongly degrades the signal quality. To meet the need for a reliable ECG system with fewer signal interferences. A reduction of recorded leads should be performed to improve the signal quality. For this purpose, An ECG reconstruction technique using an optimized Long-Short-Term Memory (LSTM) model employing the genetic algorithm will be introduced in this study. The genetic algorithm will be used to optimize the hyper-parameters of the LSTM network such as the activation function, number of units, etc. Subsequently, the optimized LSTM network will be trained using a subset of the PTB diagnostic ECG database. The evaluation of the LSTM model will be carried out using performance measures, in particular root mean square error (RMSE) and the correlation coefficient (CC). The results will be detailed and compared with traditional linear regression and standard LSTM deep learning model.","PeriodicalId":430966,"journal":{"name":"2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129624134","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

Effect of Thickness on the Hysteresis Cycles of Ni/NiO Multilayer Structure Prepared Using RF Sputtering Technique 厚度对射频溅射制备Ni/NiO多层结构迟滞周期的影响

2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) Pub Date : 2022-12-19 DOI: 10.1109/STA56120.2022.10019051

A. Bendjerad, A. Benhaya, F. Smaili, F. Djeffal, A. Lahmar, H. Ferhati

引用次数: 0

Fuzzy Adaptive Sliding Mode Controller: applied to inverted pendulum 模糊自适应滑模控制器:应用于倒立摆

2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) Pub Date : 2022-12-19 DOI: 10.1109/STA56120.2022.10019130

Achouri Mourad, Z. Youcef

引用次数: 0