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2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)最新文献

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Current-Limiting VSG for Renewable Energy Applications 用于可再生能源的限流VSG
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576298
S. Dedeoglu, G. Konstantopoulos, H. Komurcugil
{"title":"Current-Limiting VSG for Renewable Energy Applications","authors":"S. Dedeoglu, G. Konstantopoulos, H. Komurcugil","doi":"10.1109/ISIE45552.2021.9576298","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576298","url":null,"abstract":"In this paper, an improved nonlinear controller structure, which inherits both virtual inertia (VI) and current-limiting properties in grid-connected voltage-source converters (VSCs), is proposed. The proposed method inherits the Vdc ~ ω droop control for inertia emulation and frequency control, and Q ~ V droop control for AC voltage support. The current-limiting property, which is a critical issue for the protection of grid interface inverters throughout the whole operation including the grid faults is proven analytically for VI-based VSCs using nonlinear control theory. Furthermore, small-signal stability of the system is examined considering the effects of different controller gains in order to provide guidance for the selection of their values. To validate both the small-signal stability and nonlinear current limitation proof, extensive Matlab/Simulink simulations are performed.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131595682","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
Digitization of Gauge Inspection Control Procedure 仪表检验控制程序的数字化
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576198
G. Davanzo, Luis Piardi, Jorge Aikes Junior, P. Leitão, Umberto Pellegri
{"title":"Digitization of Gauge Inspection Control Procedure","authors":"G. Davanzo, Luis Piardi, Jorge Aikes Junior, P. Leitão, Umberto Pellegri","doi":"10.1109/ISIE45552.2021.9576198","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576198","url":null,"abstract":"Gauge inspection tools are usually used for the visual and geometrical tolerances verification, using paper tutorials for guidance through the inspection steps and paper to register the results of the performed inspection. This practice may be misleading to the quality control management, not providing an effective and error-prone quality control operation. This paper proposes a cost-effective solution for supporting the realization of gauge inspection control procedures by using emergent technologies, namely Human-Machine interfaces and virtual reality, to guide more efficiently the operators during the execution of their tasks, and using Internet of Things (IoT) and cloud technologies to dynamically collect and store the inspection results. The proposed solution was deployed in an industrial production facility, with the achieved results showing its efficiency and robustness, as well as a very positive feedback from the operators. This solution also contributes for a faster and more efficient execution of inspection tests, particularly reducing the setup time required to change the product reference being inspected.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122661642","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
Resilient Distributed Frequency Estimation for PEVs Coordinating in Load Frequency Regulation Under Cyber Attacks 网络攻击下pev负载调频协调的弹性分布频率估计
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576230
Zhijian Hu, Jianxing Liu, Song Gao, Fagang Liu, Ligang Wu
{"title":"Resilient Distributed Frequency Estimation for PEVs Coordinating in Load Frequency Regulation Under Cyber Attacks","authors":"Zhijian Hu, Jianxing Liu, Song Gao, Fagang Liu, Ligang Wu","doi":"10.1109/ISIE45552.2021.9576230","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576230","url":null,"abstract":"In view of the fast charging and discharging characteristics of the plug-in electric vehicles (PEVs), this paper coordinates PEVs in conventional load frequency control (LFC). To avoid the installation of measurement devices for each PEV, a resilient distributed frequency estimation strategy is presented for PEVs with the frequency measurements taken only at distribution substations. Since the communication links among PEVs are vulnerable to cyber attacks, this strategy integrates a credibility-based intrusion detection unit to distinguish compromised PEVs. Then, a maximal power acquisition algorithm is designed for well-being PEVs, to obtain sufficient power capacity for the frequency regulation. In simulations, we validate the effectiveness of the credibility-based distributed frequency estimation scheme for PEVs under strongly connected interaction topology. Also, we verify the rapidity of LFC with the coordination of well-being PEVs compared with its conventional counterpart.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126916476","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: 2
A Method for Gear Impact Suppression In Torsion Torque Control of Two-Inertia Systems with Backlash 带间隙双惯量系统扭转转矩控制中齿轮冲击抑制方法
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576400
Juan Padron, Yusuke Kawai, Y. Yokokura, Kiyoshi Ohishi, T. Miyazaki
{"title":"A Method for Gear Impact Suppression In Torsion Torque Control of Two-Inertia Systems with Backlash","authors":"Juan Padron, Yusuke Kawai, Y. Yokokura, Kiyoshi Ohishi, T. Miyazaki","doi":"10.1109/ISIE45552.2021.9576400","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576400","url":null,"abstract":"Torsion torque control has been successfully applied in powertrains for automotive systems, and in robotics for improving the performance of load-side control and increasing backdrivability of robots. However its performance is severely compromised when backlash is present in the transmission, as the reengaging of the mechanical components causes a excessive impact torque in the system. Conventional gear impact suppression methods require the use of load-side encoders and backlash models, which could be costly and difficult to implement, particularly in robots. This paper proposes a gear impact suppression method based on a impact torque suppressor (ITS), which consists of scheduled torque-derivative-feedback directly to the joint torsional dynamics. The effectiveness of the proposed method is verified by simulation and experimental results.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125764084","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: 1
Recurrent Online and Transfer Learning of a CNC-Machining Center with Support Vector Machines 基于支持向量机的数控加工中心循环在线和迁移学习
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576328
M. Ay, M. Schwenzer, D. Abel, T. Bergs
{"title":"Recurrent Online and Transfer Learning of a CNC-Machining Center with Support Vector Machines","authors":"M. Ay, M. Schwenzer, D. Abel, T. Bergs","doi":"10.1109/ISIE45552.2021.9576328","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576328","url":null,"abstract":"Data-driven learning methods represent a promising field of research to complement classical approaches in the area of control theory. Within the German cluster of excellence “Internet of Production” (IoP), model-based control strategies are researched using collective knowledge accumulated in shared databases, and adapted online according to sensor acquired data. With their inherent generalization ability and affinity for greybox modeling, Support Vector Machines (SVM) are very suitable for such online identification and adaption. However, the computational efficiency of the identification, while maintaining accuracy, is crucial for the real-time capability of the overall framework. This work compares different definitions of the learning problem with SVM for the identification of dynamic systems. Computational efficiency within the given framework is thereby of particular interest. In addition, an extension of existing libraries by transfer learning capabilities is investigated to further speed up the recurrent online identification scheme. The results suggest that SVM with “Sequential Minimal Optimization” (SMO) qualify as a real-time capable general purpose identification approach for model-based control of the derived framework. The addition of transfer learning heavily contributes to the real-time capability.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124433731","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
Simulation-based methodology for optimizing Energy Community Controllers 基于仿真的能源社区控制器优化方法
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576277
T. Leopold, Valentin Bauer, Aleksey Brathukin, Daniel Hauer, S. Wilker, G. Franzl, Ralf Mosshamrner, T. Sauter
{"title":"Simulation-based methodology for optimizing Energy Community Controllers","authors":"T. Leopold, Valentin Bauer, Aleksey Brathukin, Daniel Hauer, S. Wilker, G. Franzl, Ralf Mosshamrner, T. Sauter","doi":"10.1109/ISIE45552.2021.9576277","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576277","url":null,"abstract":"In recent years, the trend to provide more and more energy from renewable sources and less from conventional forms of electricity production reduces worldwide carbon emissions. In general, this is welcome but it also introduces new challenges. The diversity of electrical energy production grows and puts stress on the grid, its operators, and energy distribution planning. New ways for compensating the introduced instabilities are needed. Energy communities can address distributed production issues by adjusting the local demand as good as locally possible. This paper presents a methodology for simulating an energy community controller to test mechanism for smoothing grid load by aggregating available flexibilities of energy community members on a communal level. The controller tries to minimize load from or to the community by using different flexibilities and prediction algorithms within the community.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122220429","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
1 00% Solar Energy Platform in an Egyptian Institution 埃及某机构100%太阳能平台
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576447
H. H. Fayek, Sara A. Rashad, Abanoub Shenouda
{"title":"1 00% Solar Energy Platform in an Egyptian Institution","authors":"H. H. Fayek, Sara A. Rashad, Abanoub Shenouda","doi":"10.1109/ISIE45552.2021.9576447","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576447","url":null,"abstract":"The world is targeting 100% renewable energies by the middle of the century. This paper presents a platform to operate Heliopolis University in Egypt with 100% sustainable energy in winter. Heliopolis University has three roof-top PV systems and a concentrated PV thermal system. The 100% renewable energy is applied in winter using neural network based optimal power configuration. The real data are analyzed using Microsoft excel. A clear financial view about the plat-form initialization is presented. The platform aims to have 100% sustainable energy during the whole year soon. The calculations of last winter proved that the profit from selling surplus electricity to the grid is 1.27 times the cost of the platform.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130398172","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
MRAS-Based Sensorless Control Scheme for Open- End Stator Winding Six-Phase Induction Motor with Fuzzy Logic Speed Controller: Real-Time Simulation 基于mras的开端定子绕组六相异步电动机模糊速度控制器无传感器控制方案:实时仿真
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576385
Saad Khadar, H. Abu-Rub, A. Kouzou
{"title":"MRAS-Based Sensorless Control Scheme for Open- End Stator Winding Six-Phase Induction Motor with Fuzzy Logic Speed Controller: Real-Time Simulation","authors":"Saad Khadar, H. Abu-Rub, A. Kouzou","doi":"10.1109/ISIE45552.2021.9576385","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576385","url":null,"abstract":"This paper presents a advanced field-oriented control (FOC) for an open-end stator windings six phase induction motor (SPIM-OESW) with fuzzy logic (FL) speed controller. The proposed motor topology is fed by four, three-phase voltage inverters with two isolated DC sources. The FOC technique requires a precise knowledge of some machine's variables such as rotor position and rotor flux which are difficult to measure. Usually, the rotor position and motor speed are measured by a shaft-mounted encoder, but that makes the maintenance activities more difficult, and reduces system's reliability. Motor flux measurement is more complicated and requires machine's built in sensors. Therefore, a rotor flux-based model reference adaptive system (RF-MRAS) is proposed in this paper for the estimation of both rotor flux and rotor speed. In addition, the classic integral proportional (PI) controller is replaced by a FL controller to achieve better speed response at different operating points. The proposed control scheme is built within the Simulink environment combined with the Real-Time platform. Real time results are obtained to illustrate the effectiveness of the proposed control under different operating conditions.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132881002","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
Gait Data Generation Method for Humanoid Robot Training 仿人机器人训练的步态数据生成方法
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/ISIE45552.2021.9576389
Peng Chen, Ligang Wu, Xutao Li, Yifan Liu, Yabin Gao
{"title":"Gait Data Generation Method for Humanoid Robot Training","authors":"Peng Chen, Ligang Wu, Xutao Li, Yifan Liu, Yabin Gao","doi":"10.1109/ISIE45552.2021.9576389","DOIUrl":"https://doi.org/10.1109/ISIE45552.2021.9576389","url":null,"abstract":"This paper presents an approach to generate the human gait data applied in the articulated humanoid robot training. Usually, the human body of gait sequence is expressed by a dynamical skeleton that are used to train humanoid robots by a tenacity machine intelligence algorithm. Such a machine intelligence algorithm needs massive data for training. To solve this issue, we formulate the skeletons' shapes as trajectories on the shape space of skeletons. Furthermore, we construct a trajectory manifold with stretching channels, where the gait data generation is formulated as an issue of elements interpolation. Several experiments demonstrate the performance of our method in gait data generation.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133119877","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
Fleet Management System for Autonomous Mobile Robots in Secure Shop-floor Environments 安全车间环境下自主移动机器人车队管理系统
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI: 10.1109/isie45552.2021.9576269
Alexandre Souto, P. Prates, André Lourenço, Mazoon S. Al Maamari, Francisco Marques, David Taranta, Ó. Luísdo, Ricardo Mendonça, J. Barata
{"title":"Fleet Management System for Autonomous Mobile Robots in Secure Shop-floor Environments","authors":"Alexandre Souto, P. Prates, André Lourenço, Mazoon S. Al Maamari, Francisco Marques, David Taranta, Ó. Luísdo, Ricardo Mendonça, J. Barata","doi":"10.1109/isie45552.2021.9576269","DOIUrl":"https://doi.org/10.1109/isie45552.2021.9576269","url":null,"abstract":"This paper presents a management system for a fleet of autonomous mobile robots performing logistics in security-heterogeneous factories. Loading and unloading goods and parts between workstations in these dynamic environments often demands from the mobile robots to share space and resources such as corridors, interlocked security doors and elevators among themselves. This model explores a dynamic task scheduling and assignment to the robots taking into account their location, tasks previously assigned and battery levels, all the while being aware of the physical constraints of the installation. The benefits of the proposed architecture were validated through a set of experiments in a mockup of INCM's shop-floor environment. During these tests 3 robots operated continuously for several hours, self-charging without any human intervention.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133480325","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: 2
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