2022 IEEE 31st International Symposium on Industrial Electronics (ISIE)最新文献_第3页

Influence of the parasitic series inductance of the coupling capacitor of a SEPIC to the coil current waveforms with coupled inductors SEPIC耦合电容寄生串联电感对耦合电感线圈电流波形的影响

2022 IEEE 31st International Symposium on Industrial Electronics (ISIE) Pub Date : 2022-06-01 DOI: 10.1109/isie51582.2022.9831669

Manuel Laugner, T. Eberle

引用次数: 0

Solving Discrete Optimal Power Flow Problem via Power Gird Topology Exploitation 基于电网拓扑的离散最优潮流问题求解

2022 IEEE 31st International Symposium on Industrial Electronics (ISIE) Pub Date : 2022-06-01 DOI: 10.1109/isie51582.2022.9831482

Sebastian Lange, P. Sokolowski, Xinghuo Yu

引用次数: 0

Investigating Distance Bounding for Delegated Proof-of-Proximity Consensus within IIoT 研究工业物联网中委托邻近证明共识的距离边界

2022 IEEE 31st International Symposium on Industrial Electronics (ISIE) Pub Date : 2022-06-01 DOI: 10.1109/isie51582.2022.9831631

Lehlogonolo P. I. Ledwaba, G. Hancke, S. Isaac

引用次数: 0

Predictive Sampling and Hypothesis Matching for Realtime Cloud Control of Mobile Robots 移动机器人实时云控制的预测抽样与假设匹配

2022 IEEE 31st International Symposium on Industrial Electronics (ISIE) Pub Date : 2022-06-01 DOI: 10.1109/isie51582.2022.9831501

Jens Lambrecht, Richard Viehöver, Chunyang Chang

{"title":"Predictive Sampling and Hypothesis Matching for Realtime Cloud Control of Mobile Robots","authors":"Jens Lambrecht, Richard Viehöver, Chunyang Chang","doi":"10.1109/isie51582.2022.9831501","DOIUrl":"https://doi.org/10.1109/isie51582.2022.9831501","url":null,"abstract":"We introduce a novel method for latency compensation in realtime critical cloud or edge control scenarios for mobile robots. Offloading computation towards virtualized computing resources provides several advantages along the software life cycle and facilitates scaling and extensions of the respective software services or stacks. In former work, we introduced the modularization and offloading of even realtime critical control functions for autonomous navigation to an edge computing infrastructure through the usage of low-latency 5G networks. In order to overcome performance or operation reductions when facing latency peaks or temporary connection losses, we propose a predictive control method that generates control hypotheses, i.e. sampling, even for future steps. On the client device, the hypotheses are matched with current sensor readings if control commands fail to appear. In this publication, we focus on the efficient hypotheses matching on the client side and identify an adequate hashing approach for planar laser scanner data. Within different simulation scenarios, we show the general feasibility and benefits of our approach.","PeriodicalId":194172,"journal":{"name":"2022 IEEE 31st International Symposium on Industrial Electronics (ISIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129874380","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

Cloud-enabled Integration of IoT Applications within the Farm to Fork to Reduce the Food Waste 从农场到餐桌的云端物联网应用集成，以减少食物浪费

2022 IEEE 31st International Symposium on Industrial Electronics (ISIE) Pub Date : 2022-06-01 DOI: 10.1109/isie51582.2022.9831694

G. Funchal, Victória Melo, P. Leitão

{"title":"Cloud-enabled Integration of IoT Applications within the Farm to Fork to Reduce the Food Waste","authors":"G. Funchal, Victória Melo, P. Leitão","doi":"10.1109/isie51582.2022.9831694","DOIUrl":"https://doi.org/10.1109/isie51582.2022.9831694","url":null,"abstract":"The climate change, the loss of productive land area and the exponential population growth are demanding new and more efficient ways to produce, transform and consume food resources that respect the planet's sustainability. The achievement of these challenges require the use of emerging ICT technologies, such as Internet of Things (IoT), Artificial Intelligence (AI) and Cloud Computing, to promote the real-time information exchange along the farm to fork value chain, i.e. from the primary production to the food consumption, as well as to develop smart applications that take advantage of integrated information, e.g., aiming the process monitoring, prediction, optimization and traceability. This paper presents the development of a digital cloud-based ecosystem, built upon the open-source FIWARE platform, to enable the integration of smart applications and assets along the farm to fork chain, aiming to reduce the food waste. Furthermore, the feasibility of the proposed system is analysed through the integration of several IoT sensing nodes and a smart monitoring application, showing its benefits in terms of modularity, interoperability, scalability and robustness.","PeriodicalId":194172,"journal":{"name":"2022 IEEE 31st International Symposium on Industrial Electronics (ISIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128692124","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

An Edge Architecture Oriented Model Predictive Control Scheme for an Autonomous UAV Mission 一种面向边缘体系结构的无人机自主任务模型预测控制方案

2022 IEEE 31st International Symposium on Industrial Electronics (ISIE) Pub Date : 2022-06-01 DOI: 10.1109/ISIE51582.2022.9831701

Achilleas Santi Seisa, S. Satpute, B. Lindqvist, G. Nikolakopoulos

{"title":"An Edge Architecture Oriented Model Predictive Control Scheme for an Autonomous UAV Mission","authors":"Achilleas Santi Seisa, S. Satpute, B. Lindqvist, G. Nikolakopoulos","doi":"10.1109/ISIE51582.2022.9831701","DOIUrl":"https://doi.org/10.1109/ISIE51582.2022.9831701","url":null,"abstract":"In this article the implementation of a controller and specifically of a Model Predictive Controller (MPC) on an Edge Computing device, for controlling the trajectory of an Unmanned Aerial Vehicle (UAV) model, is examined. MPC requires more computation power in comparison to other controllers, such as PID or LQR, since it use cost functions, optimization methods and iteratively predicts the output of the system and the control commands for some determined steps in the future (prediction horizon). Thus, the computation power required depends on the prediction horizon, the complexity of the cost functions and the optimization. The more steps determined for the horizon the more efficient the controller can be, but also more computation power is required. Since sometimes robots are not capable of managing all the computing process locally, it is important to offload some of the computing process from the robot to the cloud. But then some disadvantages may occur, such as latency and safety issues. Cloud computing may offer “infinity” computation power but the whole system suffers in latency. A solution to this is the use of Edge Computing, which will reduce time delays since the Edge device is much closer to the source of data. Moreover, by using the Edge we can offload the demanding controller from the UAV and set a longer prediction horizon and try to get a more efficient controller.","PeriodicalId":194172,"journal":{"name":"2022 IEEE 31st International Symposium on Industrial Electronics (ISIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129934360","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

Transfer Learning for Few-Shot Plants Recognition: Antarctic Station Greenhouse Use-Case 少量植物识别的迁移学习:南极站温室用例

2022 IEEE 31st International Symposium on Industrial Electronics (ISIE) Pub Date : 2022-06-01 DOI: 10.1109/isie51582.2022.9831723

Liliya Lemikhova, S. Nesteruk, A. Somov

引用次数: 2

Real-Time Fault Detection Algorithm for Interior Permanent Magnet Synchronous Motor Drive using DSP/FPGA 基于DSP/FPGA的内置永磁同步电机驱动实时故障检测算法

2022 IEEE 31st International Symposium on Industrial Electronics (ISIE) Pub Date : 2022-06-01 DOI: 10.1109/isie51582.2022.9831681

Serge Pacome Bosson, Š. Janouš, T. Kosan, Z. Peroutka

{"title":"Real-Time Fault Detection Algorithm for Interior Permanent Magnet Synchronous Motor Drive using DSP/FPGA","authors":"Serge Pacome Bosson, Š. Janouš, T. Kosan, Z. Peroutka","doi":"10.1109/isie51582.2022.9831681","DOIUrl":"https://doi.org/10.1109/isie51582.2022.9831681","url":null,"abstract":"The paper deals with the design, implementation and experiment of an embedded drive system diagnostics for interior permanent magnet synchronous motor drive for safety critical applications. The drive is intended for traction drive applications therefore it uses a combination of a digital signal processor (DSP) and a field programmable gate array (FPGA) as is often the case in modern industrial drives. A real-time harmonic monitoring is employed to indicate the development or existence of fault within the drive system. This is achieved by embedding a real-time measurement and control within the DSP operating in conjunction with the motor control, to estimate the machine's transient reactance after applying an excitation with voltage pulses using the switching of the inverter, and a real-time frequency analysis of the parameter within the FPGA operating independently of the motor control. Experimental testing is used to validate the proposed condition monitoring algorithm on a laboratory prototype of interior permanent magnet synchronous motor drive with a rated power of 4.5 kW.","PeriodicalId":194172,"journal":{"name":"2022 IEEE 31st International Symposium on Industrial Electronics (ISIE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122370413","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

Ultra-Short- Term Load Forecasting Based on Convolutional-LSTM Hybrid Networks 基于卷积- lstm混合网络的超短期负荷预测

2022 IEEE 31st International Symposium on Industrial Electronics (ISIE) Pub Date : 2022-06-01 DOI: 10.1109/isie51582.2022.9831704

Hanjiang Dong, Jizhong Zhu, Shenglin Li, T. Luo, Hong Li, Yanting Huang

引用次数: 1

Internal Model-Based Active Damping Strategy for a Back-to-Back Modular Multilevel Converter System for Advanced Grid Support 基于内部模型的背靠背模块化多电平变换器系统主动阻尼策略

2022 IEEE 31st International Symposium on Industrial Electronics (ISIE) Pub Date : 2022-06-01 DOI: 10.1109/isie51582.2022.9831636

Vikram Roy Chowdhury, Akanksha Singh, B. Mather

引用次数: 1