Pub Date : 2022-05-15DOI: 10.46904/eea.22.70.2.1108008
Fatiha Bessine, A. Kouzou, A. Choucha, R. Rabehi
Nowadays, power quality is considered as a major concern that is faced by electrical energy producer, consumers, industries and researchers. Whereas one among the main issues in such concern is the current and voltage harmonics detection, mitigation and compensation. Indeed, the proliferation of harmonics in power system can create serious problems within all levels and their impacts along the whole power system from the production to the end users can lead to critical technical and economic situations. Therefore, their accurate detection in real time is of great importance and interest where many techniques have been proposed for solving such major problem. The work presented in this paper deals with the evaluation of a technique that has been proposed for the estimation of harmonic content in a signal based on iterative computing technique. This technique is based on several keystone parameters, which have major influences on the accuracy of the identification of the different harmonics without the need of a costly computation, and that can be easily implemented and performed in real-time. It is worthy to clarify that the technique under investigation in this paper is the based on the idea of adaptive filtering process called the Variable length Step Size- Least mean squares method (VLSS-LMS), it is basically very sensitive to three main parameters such as the sampling frequency, the step size value and the measurement window. The evaluation of the effects of these parameters have been assessed based on simulation testes of a specific original signal containing harmonics components. The obtained simulation results clearly prove the optimal choices of the aforementioned parameters in ensuring precise estimation of the harmonics content and the reconstruction of the estimated signal with high precision and minimized average error.
{"title":"Evaluation of the VLSS-LMS Method Parameters’ Influence on the Effective Estimation of Power System Current and Voltage Harmonics Content","authors":"Fatiha Bessine, A. Kouzou, A. Choucha, R. Rabehi","doi":"10.46904/eea.22.70.2.1108008","DOIUrl":"https://doi.org/10.46904/eea.22.70.2.1108008","url":null,"abstract":"Nowadays, power quality is considered as a major concern that is faced by electrical energy producer, consumers, industries and researchers. Whereas one among the main issues in such concern is the current and voltage harmonics detection, mitigation and compensation. Indeed, the proliferation of harmonics in power system can create serious problems within all levels and their impacts along the whole power system from the production to the end users can lead to critical technical and economic situations. Therefore, their accurate detection in real time is of great importance and interest where many techniques have been proposed for solving such major problem. The work presented in this paper deals with the evaluation of a technique that has been proposed for the estimation of harmonic content in a signal based on iterative computing technique. This technique is based on several keystone parameters, which have major influences on the accuracy of the identification of the different harmonics without the need of a costly computation, and that can be easily implemented and performed in real-time. It is worthy to clarify that the technique under investigation in this paper is the based on the idea of adaptive filtering process called the Variable length Step Size- Least mean squares method (VLSS-LMS), it is basically very sensitive to three main parameters such as the sampling frequency, the step size value and the measurement window. The evaluation of the effects of these parameters have been assessed based on simulation testes of a specific original signal containing harmonics components. The obtained simulation results clearly prove the optimal choices of the aforementioned parameters in ensuring precise estimation of the harmonics content and the reconstruction of the estimated signal with high precision and minimized average error.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83248697","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}
Target localization is one of the fundamental research topics in multiple input multiple output (MIMO) radar systems. In this paper, we focus on the localization parameter estimation including direction of departure (DoD), direction of arrival (DoA) and radar cross section (RCS) coefficients in monostatic MIMO radar systems. An optimized Newton algorithm is proposed to jointly estimate DoAs/DoDs and RCS coefficients. Its angle estimation performance outperforms traditional Capon, MUSIC and ESPRIT methods. The proposed localization algorithm also has great RCS coefficient estimation performance. Moreover, the joint estimation performance of the proposed optimized Newton algorithm is superior even with unknown target numbers and low sampling numbers. Simulation results verify the effectiveness of the proposed optimized Newton algorithm.
{"title":"A Target Localization Method based on Optimized Newton Algorithm for MIMO Radar","authors":"Ding Yang, Meng Han, Yutong Xi, Yuan Liu, Weijia Yu","doi":"10.46904/eea.22.70.2.1108005","DOIUrl":"https://doi.org/10.46904/eea.22.70.2.1108005","url":null,"abstract":"Target localization is one of the fundamental research topics in multiple input multiple output (MIMO) radar systems. In this paper, we focus on the localization parameter estimation including direction of departure (DoD), direction of arrival (DoA) and radar cross section (RCS) coefficients in monostatic MIMO radar systems. An optimized Newton algorithm is proposed to jointly estimate DoAs/DoDs and RCS coefficients. Its angle estimation performance outperforms traditional Capon, MUSIC and ESPRIT methods. The proposed localization algorithm also has great RCS coefficient estimation performance. Moreover, the joint estimation performance of the proposed optimized Newton algorithm is superior even with unknown target numbers and low sampling numbers. Simulation results verify the effectiveness of the proposed optimized Newton algorithm.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91070967","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 : 2022-05-15DOI: 10.46904/eea.22.70.2.1108006
Feng Hu, Andong Chen, Hexing Yang, Hongliu Zhang
5G communication provide a promising platform for new, innovative and diverse enhanced mobile broadband (eMBB) and massive device connectivity applications, such as streaming media, machine vision and Internet of Things (IoT), real-time and dynamic data processing, intensive computation. However, 5G multimedia devices deployment relies on the coverage of base stations, which is inefficient and costly in wide-area coverage and physical penetration. In this paper, a 5G and wide-area Ad Hoc network fusion architecture is proposed to flexibly provide scalable 5G and extensible low-power devices interconnection liberated from geographical restriction, which consists of a low-power wide-area network and an edge processing gateway. Moreover, the intelligent edge gateway near a specific base station can support real-time ultra-high-definition video streams access and achieve traffic optimization by compressing, intelligent identification and preprocessing of the video streams to alleviate traffic congestion. The coverage capacity efficiency of wide-area Ad Hoc networks is restricted by the "funnel effect" in multihop cascading, and adaptive resource allocation strategies will present a promising approach to realize energy-efficient deployment. A non-convex optimization problem is formulated to maximize the energy-efficient deployment of Ad Hoc network. Then, a coordination and optimization strategy of internal resource allocation in deployed multihop nodes based on Lagrange relaxation algorithm was presented to solve the optimization problem. The actual system deployment and real measurement proved that the system function is running normally and stably. The experimental simulation test results show that the proposed 5G wide-area Ad Hoc network can effectively make up for the adaptive streaming needs of 5G coverage blind spots. Compared with static resource allocation, the proposed resource allocation and deployment scheme reduces energy consumption by 42.31%.
{"title":"5G Hybrid System Design and Energy Efficient Resource Allocation Deployment","authors":"Feng Hu, Andong Chen, Hexing Yang, Hongliu Zhang","doi":"10.46904/eea.22.70.2.1108006","DOIUrl":"https://doi.org/10.46904/eea.22.70.2.1108006","url":null,"abstract":"5G communication provide a promising platform for new, innovative and diverse enhanced mobile broadband (eMBB) and massive device connectivity applications, such as streaming media, machine vision and Internet of Things (IoT), real-time and dynamic data processing, intensive computation. However, 5G multimedia devices deployment relies on the coverage of base stations, which is inefficient and costly in wide-area coverage and physical penetration. In this paper, a 5G and wide-area Ad Hoc network fusion architecture is proposed to flexibly provide scalable 5G and extensible low-power devices interconnection liberated from geographical restriction, which consists of a low-power wide-area network and an edge processing gateway. Moreover, the intelligent edge gateway near a specific base station can support real-time ultra-high-definition video streams access and achieve traffic optimization by compressing, intelligent identification and preprocessing of the video streams to alleviate traffic congestion. The coverage capacity efficiency of wide-area Ad Hoc networks is restricted by the \"funnel effect\" in multihop cascading, and adaptive resource allocation strategies will present a promising approach to realize energy-efficient deployment. A non-convex optimization problem is formulated to maximize the energy-efficient deployment of Ad Hoc network. Then, a coordination and optimization strategy of internal resource allocation in deployed multihop nodes based on Lagrange relaxation algorithm was presented to solve the optimization problem. The actual system deployment and real measurement proved that the system function is running normally and stably. The experimental simulation test results show that the proposed 5G wide-area Ad Hoc network can effectively make up for the adaptive streaming needs of 5G coverage blind spots. Compared with static resource allocation, the proposed resource allocation and deployment scheme reduces energy consumption by 42.31%.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78798808","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 : 2022-05-15DOI: 10.46904/eea.22.70.2.1108002
Zhengsheng Qi, Bohong Liu, Li Song, Yunlong Jia
High-speed train is a complex nonlinear system with strong coupling, which is easily disturbed by uncertain factors. The traditional model of single-mass point train does not consider the influence of train length and interaction force between trains. Given that high-speed train is vulnerable to time-varying disturbance in the complex and changeable external environment, and the traditional single-mass point train model does not consider the train length and interaction force between vehicles, a genetic algorithm (GA) optimised cloud model proportion integration differentiation (PID) speed controller based on a rigid multi-mass point model was designed. The numerical features of the cloud model are first optimized by the global optimization capability of the GA, then the cloud model reasoner corrects the parameters of the PID controller in real time through the corresponding reasoning rules. Moreover, the PID controller with adjustable parameters completes the control output of the speed controller. The rigid multi-mass point model of the train is established, and CRH3 train is selected to simulate the selected line to prove the feasibility of the cloud model PID control algorithm based on GA optimisation. Under the same conditions, PID and fuzzy PID controllers are set for speed-tracking performance comparison, which verifies that the cloud model PID controller based on GA optimisation has small speed-tracking error and strong robustness. It can more effectively reduce the influence of interference caused by uncertain factors on the automatic driving operation speed controller of high-speed train and has better control effect.
{"title":"Automatic Driving Research of Cloud Model High-Speed Train based on Genetic Algorithm Optimization","authors":"Zhengsheng Qi, Bohong Liu, Li Song, Yunlong Jia","doi":"10.46904/eea.22.70.2.1108002","DOIUrl":"https://doi.org/10.46904/eea.22.70.2.1108002","url":null,"abstract":"High-speed train is a complex nonlinear system with strong coupling, which is easily disturbed by uncertain factors. The traditional model of single-mass point train does not consider the influence of train length and interaction force between trains. Given that high-speed train is vulnerable to time-varying disturbance in the complex and changeable external environment, and the traditional single-mass point train model does not consider the train length and interaction force between vehicles, a genetic algorithm (GA) optimised cloud model proportion integration differentiation (PID) speed controller based on a rigid multi-mass point model was designed. The numerical features of the cloud model are first optimized by the global optimization capability of the GA, then the cloud model reasoner corrects the parameters of the PID controller in real time through the corresponding reasoning rules. Moreover, the PID controller with adjustable parameters completes the control output of the speed controller. The rigid multi-mass point model of the train is established, and CRH3 train is selected to simulate the selected line to prove the feasibility of the cloud model PID control algorithm based on GA optimisation. Under the same conditions, PID and fuzzy PID controllers are set for speed-tracking performance comparison, which verifies that the cloud model PID controller based on GA optimisation has small speed-tracking error and strong robustness. It can more effectively reduce the influence of interference caused by uncertain factors on the automatic driving operation speed controller of high-speed train and has better control effect.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79970414","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 : 2022-05-15DOI: 10.46904/eea.22.70.2.1108007
Xiuwei Fu, Li Fu, Hashem Imani Marrani
Today, chaotic systems have become one of the most important tools for encrypting and secure transmission of information. Other applications of these systems in economics, geography, sociology, and the like are not hidden from anyone. Despite the presentation of various chaotic systems, it is necessary to study and present new and more accurate chaotic systems. It is obvious that fractional models are more accurate and yield better results than integer order models. In this paper, the synchronization and anti-synchronization of an innovative fractional order chaotic system is investigated based on the nonlinear control method. In the proposed chaotic system, there is an exponential term that leads to behaviour very different from the integer order chaotic systems. Two different approaches have been proposed to achieve the synchronization and anti-synchronization goals between the proposed new fractional chaotic systems. A backstopping approach has been used to synchronize, and in addition to achieving this goal, it also ensures stability in Lyapunov's concept. Anti-synchronization between the two new fractional systems is also achieved by applying the active control method, and subsequently Lyapunov stability is shown under the proposed method. The simulation results in MATLAB environment show the synchronization and anti-synchronization effectiveness for the proposed innovative fractional order chaotic system.
{"title":"Synchronization and Anti-Synchronization of a Novel Fractional Order Chaotic System with an exponential term","authors":"Xiuwei Fu, Li Fu, Hashem Imani Marrani","doi":"10.46904/eea.22.70.2.1108007","DOIUrl":"https://doi.org/10.46904/eea.22.70.2.1108007","url":null,"abstract":"Today, chaotic systems have become one of the most important tools for encrypting and secure transmission of information. Other applications of these systems in economics, geography, sociology, and the like are not hidden from anyone. Despite the presentation of various chaotic systems, it is necessary to study and present new and more accurate chaotic systems. It is obvious that fractional models are more accurate and yield better results than integer order models. In this paper, the synchronization and anti-synchronization of an innovative fractional order chaotic system is investigated based on the nonlinear control method. In the proposed chaotic system, there is an exponential term that leads to behaviour very different from the integer order chaotic systems. Two different approaches have been proposed to achieve the synchronization and anti-synchronization goals between the proposed new fractional chaotic systems. A backstopping approach has been used to synchronize, and in addition to achieving this goal, it also ensures stability in Lyapunov's concept. Anti-synchronization between the two new fractional systems is also achieved by applying the active control method, and subsequently Lyapunov stability is shown under the proposed method. The simulation results in MATLAB environment show the synchronization and anti-synchronization effectiveness for the proposed innovative fractional order chaotic system.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89894420","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 : 2022-05-15DOI: 10.46904/eea.22.70.2.1108004
Jie Gao, Hai Gu, Yuwei Yang, Ping Yuan
Proton Exchange Membrane as one of the most advanced types of fuel cells plays an effective role in renewable energy generation and supply manifold is one of its main subsystems. Aiming to cover nonlinear behaviour, this study presents a new robust method for controlling the supply manifold pressure at the cathode side. To consider the uncertainty effects as well as the nonlinear behaviour of the supply manifold, a delayed transfer function model is considered. The proposed reset control approach improves the transient response in regulating the supply manifold pressure at the cathode side. The simulation and comparison results in MATLAB environment show the capabilities of the proposed method to improve the transient response of the system from different perspectives and stability despite of uncertainty effects.
{"title":"Improve Supply Manifold Pressure of Proton Exchange Membrane Fuel Cell by using of Reset Control","authors":"Jie Gao, Hai Gu, Yuwei Yang, Ping Yuan","doi":"10.46904/eea.22.70.2.1108004","DOIUrl":"https://doi.org/10.46904/eea.22.70.2.1108004","url":null,"abstract":"Proton Exchange Membrane as one of the most advanced types of fuel cells plays an effective role in renewable energy generation and supply manifold is one of its main subsystems. Aiming to cover nonlinear behaviour, this study presents a new robust method for controlling the supply manifold pressure at the cathode side. To consider the uncertainty effects as well as the nonlinear behaviour of the supply manifold, a delayed transfer function model is considered. The proposed reset control approach improves the transient response in regulating the supply manifold pressure at the cathode side. The simulation and comparison results in MATLAB environment show the capabilities of the proposed method to improve the transient response of the system from different perspectives and stability despite of uncertainty effects.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88140001","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 : 2022-03-15DOI: 10.46904/eea.22.70.1.1108008
Jiandong Qiu, Kaiyue Zhang, Minan Tang
The automated stereoscopic warehouse of large airport plays an important role in logistics, in which cargo access efficiency is the most important part. And cargo location optimization is an effective method to improve its efficiency. After comparing and analysing the structure and working characteristics of bulk cargo processing system in large airport cargo station, the dynamic optimization problem of the cargo location was modelled. The virus evolutionary genetic algorithm (VEGA) was selected for optimization simulation, and the time-consuming rule was designed according to the actual optimization conditions. A cargo location numbering rule based on time-consuming rule was designed according to the actual optimization conditions. Simulation results show that both the convergence and calculating speeds of the VEGA have been obviously improved compared with those of the traditional genetic algorithm, which can meet the actual needs of the field better.
{"title":"Dynamic Optimization Strategy of Large Airport Cargo Location based on Virus Evolutionary Genetic Algorithm","authors":"Jiandong Qiu, Kaiyue Zhang, Minan Tang","doi":"10.46904/eea.22.70.1.1108008","DOIUrl":"https://doi.org/10.46904/eea.22.70.1.1108008","url":null,"abstract":"The automated stereoscopic warehouse of large airport plays an important role in logistics, in which cargo access efficiency is the most important part. And cargo location optimization is an effective method to improve its efficiency. After comparing and analysing the structure and working characteristics of bulk cargo processing system in large airport cargo station, the dynamic optimization problem of the cargo location was modelled. The virus evolutionary genetic algorithm (VEGA) was selected for optimization simulation, and the time-consuming rule was designed according to the actual optimization conditions. A cargo location numbering rule based on time-consuming rule was designed according to the actual optimization conditions. Simulation results show that both the convergence and calculating speeds of the VEGA have been obviously improved compared with those of the traditional genetic algorithm, which can meet the actual needs of the field better.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89347621","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 : 2022-03-15DOI: 10.46904/eea.22.70.1.1108001
Selma MOSTEFA KARA, A. Benmansour
Nowadays it is widely acknowledged that solar photovoltaic energy is one of the preferred options for sustainable management of the future energy needs of the world. For this, new technological processes, known as second and third generations, based on the use of thin films and nanomaterials, have recently been developed in order to reduce the cost of solar cells. Over the past few years, the yield of second-generation Cu(In, Ga)Se2 thin-film cells has exceeded 22 %. It was found that as nanostructured materials such as nanowire arrays often have a higher light absorption rate than thin films, they can therefore be used. This article aims to design and model nanostructured CIGS thin film solar cells based on indium tin oxide (ITO) nanowires. Modelling provides information on the operation of CIGS solar cells, as well as on the mechanisms of absorption and electric charge transport. The purpose of this work is to evaluate the electrical and optical characteristics (ISC, VOC, FF, η) of a ZnO/CdS/CIGS heterojunction thin film structure. Thus, an optimum efficiency of 17.57 % and a form factor of 76.56 % were achieved. Afterwards, the Mo film rear contact was replaced with ITO nanowires which were introduced into the CIGS-based solar cell. The results indicated that the solar cells under study exhibited very good photovoltaic performance, with an efficiency of 21.26 %. It is worth noting that this performance is higher than that of the corresponding CIGS thin film cells. In addition, the large active surface area of the ITO nanowire electrode and the short distance that the charge must travel helped to improve charge collection in the nanostructure. This would certainly increase the short circuit current ISC, and consequently the electrical efficiency. The simulation was based on the low-field mobility model, and on Shockley-Read-Hall (SRH) and Auger carrier transport and recombination models which may be activated in ATLAS-SILVACO (2D).
{"title":"Properties of High Efficiency Nanostructured Copper Indium Gallium Selenide Thin Film Solar Cells","authors":"Selma MOSTEFA KARA, A. Benmansour","doi":"10.46904/eea.22.70.1.1108001","DOIUrl":"https://doi.org/10.46904/eea.22.70.1.1108001","url":null,"abstract":"Nowadays it is widely acknowledged that solar photovoltaic energy is one of the preferred options for sustainable management of the future energy needs of the world. For this, new technological processes, known as second and third generations, based on the use of thin films and nanomaterials, have recently been developed in order to reduce the cost of solar cells. Over the past few years, the yield of second-generation Cu(In, Ga)Se2 thin-film cells has exceeded 22 %. It was found that as nanostructured materials such as nanowire arrays often have a higher light absorption rate than thin films, they can therefore be used. This article aims to design and model nanostructured CIGS thin film solar cells based on indium tin oxide (ITO) nanowires. Modelling provides information on the operation of CIGS solar cells, as well as on the mechanisms of absorption and electric charge transport. The purpose of this work is to evaluate the electrical and optical characteristics (ISC, VOC, FF, η) of a ZnO/CdS/CIGS heterojunction thin film structure. Thus, an optimum efficiency of 17.57 % and a form factor of 76.56 % were achieved. Afterwards, the Mo film rear contact was replaced with ITO nanowires which were introduced into the CIGS-based solar cell. The results indicated that the solar cells under study exhibited very good photovoltaic performance, with an efficiency of 21.26 %. It is worth noting that this performance is higher than that of the corresponding CIGS thin film cells. In addition, the large active surface area of the ITO nanowire electrode and the short distance that the charge must travel helped to improve charge collection in the nanostructure. This would certainly increase the short circuit current ISC, and consequently the electrical efficiency. The simulation was based on the low-field mobility model, and on Shockley-Read-Hall (SRH) and Auger carrier transport and recombination models which may be activated in ATLAS-SILVACO (2D).","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82594002","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 : 2022-03-15DOI: 10.46904/eea.22.70.1.1108009
Jianbo Zhang, Qun Yin, Duan Peng-Fei, Meisu Yin
With the development of face recognition technology and HD camera, it is possible to use face recognition to realize the classroom attendance statistics. The traditional way of classroom attendance statics needs teachers to roll call according to the list of students, but face recognition can not only save the time of class, but also lighten the burden of statistics attendance of school. This paper realizes the face recognition system of attendance analysis and statistics platform, and it needs cameras and a main computer. In software, under the development environment of VS2017, it relies on OPENCV, arcsoft face recognition SDK and My -SQL database realizes a real-time video stream face recognition system with C++ programming. The system captures the student face by the camera installed in the classroom, then using SDK extracts the face feature and compares with the feature in the database. When the compare value is over the set value, the system will output the corresponding students' information and completion time to the TXT file.
{"title":"Student Attendance Analysis and Statistics Platform based on Capture Recognition Technology","authors":"Jianbo Zhang, Qun Yin, Duan Peng-Fei, Meisu Yin","doi":"10.46904/eea.22.70.1.1108009","DOIUrl":"https://doi.org/10.46904/eea.22.70.1.1108009","url":null,"abstract":"With the development of face recognition technology and HD camera, it is possible to use face recognition to realize the classroom attendance statistics. The traditional way of classroom attendance statics needs teachers to roll call according to the list of students, but face recognition can not only save the time of class, but also lighten the burden of statistics attendance of school. This paper realizes the face recognition system of attendance analysis and statistics platform, and it needs cameras and a main computer. In software, under the development environment of VS2017, it relies on OPENCV, arcsoft face recognition SDK and My -SQL database realizes a real-time video stream face recognition system with C++ programming. The system captures the student face by the camera installed in the classroom, then using SDK extracts the face feature and compares with the feature in the database. When the compare value is over the set value, the system will output the corresponding students' information and completion time to the TXT file.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81392002","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 : 2022-03-15DOI: 10.46904/eea.22.70.1.1108002
Xingzhi Hu
For the multi energy coexisting system such as micro electric vehicle, it is particularly important to establish an accurate electric drive system model and flexibly change the system composition and component parameters for the design of micro electric vehicle. Based on the study of the structural characteristics and the overall control scheme of the micro electric vehicle, the drive motor model and the motor vector control model were analysed based on the bond graph theory, and then the dynamic mechanics analysis of the model was carried out with the help of MATLAB, according to the obtained bond graph model. The experimental method was used to verify the model analysis results, the recorded data are processed by MATLAB, and the relationship curves of voltage, current, and power and impedance under different motion conditions were drawn. The results show that: through the dynamic performance simulation of the dynamic model, the factors affecting the driving range of micro electric vehicle are analysed, and the effective measures to increase the driving range are put forward; When the micro electric vehicle runs in a straight line, the parameters basically do not change; When the left-right steering movement, the power consumed by the right front wheel when turning right is higher than that when turning left, but the impedance is lower than that when turning left; The experimental results verify the feasibility and effectiveness of bond graph theory in system modelling and simulation.
{"title":"Modelling and Analysis of Power Performance of Electric Drive System of Micro Electric Car","authors":"Xingzhi Hu","doi":"10.46904/eea.22.70.1.1108002","DOIUrl":"https://doi.org/10.46904/eea.22.70.1.1108002","url":null,"abstract":"For the multi energy coexisting system such as micro electric vehicle, it is particularly important to establish an accurate electric drive system model and flexibly change the system composition and component parameters for the design of micro electric vehicle. Based on the study of the structural characteristics and the overall control scheme of the micro electric vehicle, the drive motor model and the motor vector control model were analysed based on the bond graph theory, and then the dynamic mechanics analysis of the model was carried out with the help of MATLAB, according to the obtained bond graph model. The experimental method was used to verify the model analysis results, the recorded data are processed by MATLAB, and the relationship curves of voltage, current, and power and impedance under different motion conditions were drawn. The results show that: through the dynamic performance simulation of the dynamic model, the factors affecting the driving range of micro electric vehicle are analysed, and the effective measures to increase the driving range are put forward; When the micro electric vehicle runs in a straight line, the parameters basically do not change; When the left-right steering movement, the power consumed by the right front wheel when turning right is higher than that when turning left, but the impedance is lower than that when turning left; The experimental results verify the feasibility and effectiveness of bond graph theory in system modelling and simulation.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78304203","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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