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21st IEEE International Conference on Sciences and Techniques of automatic control and Computer engineering, STA 2022

作者： Naifar, Omar Gassara, Hamdi Elloumi, Mourad Jmal, Assaad Electrical Engineering Department BP 1173 Sfax3038 Tunisia National School of Engineering of Sfax University of Sfax Laboratory of Sciences and Technology of Automatic Control and Computer Engineering P. O. Box 1173 Sfax3038 Tunisia

ISBN: (纸本)9781665482615

A single study has addressed actuator failure reconstruction for the One-sided Lipschitz (OSL) family of nonlinear systems. The predicted fault vector in that work does not provide any insight into the underlying problematic physical characteristics of the system, which is a significant shortcoming. In this work, we offer a way for estimating the incorrect physical parameters of actuators using an adaptive observer strategy. To demonstrate the utility of the suggested method, a numerical example and simulation research are provided. © 2022 IEEE.

关键词： Actuators

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Data-driven modeling of heat pumps and thermal storage units for MPC

Data-driven modeling of heat pumps and thermal storage units...

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2023 International Conference on the Built Environment in Transition, CISBAT 2023

作者： Brandes, M. Cai, H. Vivian, J. Croci, L. Heer, P. Smith, R. Urban Energy Systems Laboratory Empa Dübendorf Switzerland Dept. of Industrial Engineering University of Padova Padua Italy Dept. of Power System Development Ricerca Sistema Energetico SpA Milan Italy Automatic Control Laboratory Department of Electrical Engineering and Information Technology ETH Zurich Switzerland

Heat pumps can play a crucial role in the European energy strategy 2050, which aims to achieve net-zero greenhouse gas emissions. When coupled with thermal energy storage and integrated with advanced control strategies, heat pump operation can be optimized to reduce carbon footprint and respond to the needs of system operators. However, to scale in a multitude of buildings, the transferability of the modeling into heterogeneous systems is crucial. In this paper, two different interpretable linear models, a hybrid (grey-box) and a fully data-driven (black-box) model are investigated. Specifically, two regression-based identification methods (SINDYc and DMDc) are used for dynamic models and the LASSO regression is used for static models. The transferability of the approach is evaluated using two real-world facilities with heterogeneous sizing and configuration. The results show a similar simulation performance for both cases with a maximum normalized RMSE of 0.41 and 0.60, respectively. This confirms the transferability of the approach that is necessary for large-scale implementation. © 2023 Institute of Physics Publishing. All rights reserved.

关键词： Carbon footprint

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Consistency Evaluation of IoT Smart Meter’s Metering Accuracy considering Ambient Temperature and Load Current

Consistency Evaluation of IoT Smart Meter’s Metering Accura...

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System Reliability and Safety engineering (SRSE), International Conference on

作者： Weiming Liu Cen Chen Zhifei Wang Xiaosheng Zhang Guofu Zhai Wei Zheng Department of Electrical Engineering & Automation Harbin Institute of Technology Harbin China Beijing Aerospace Automatic Control Institute Beijing China

The energy meter is a widely used digital-analog electronic system. However, metering accuracy is inevitably influenced by factors such as ambient temperature, load current, and component tolerance. This paper introduces a method utilizing digital twin models to analyze the consistency of metering accuracy in a new single-phase smart meter prototype. An electro-thermal coupling model incorporating a temperature compensation algorithm is established, and the metering accuracy is solved using a surrogate model. By employing the Monte Carlo method, a batch of product samples is generated to determine the impact of varying ambient temperature and load current conditions on the metering accuracy’s consistency within the maximum operating range. The results of this study provides a valuable foundation for robust design and reliability optimization of the energy meter.

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Universal dual-port grid-forming control: bridging the gap between grid-forming and grid-following control

arXiv

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arXiv 2023年

作者： Subotić, Irina Groß, Dominic The Automatic Control Laboratory ETH Zürich Switzerland The Department of Electrical and Computer Engineering the University of Wisconsin-Madison United States

We analyze a dual-port grid-forming (GFM) control for power systems containing ac and dc transmission, converter-interfaced generation and energy storage, and legacy generation. To operate such a system and provide standard services, state-of-the-art control architectures i) require assigning grid-following (GFL) and GFM controls to different converters, and ii) result in highly complex system dynamics. In contrast, dual-port GFM control (i) subsumes common functions of GFM and GFL controls in a simple controller, ii) can be applied to a wide range of emerging technologies independently of the network configuration, and iii) significantly reduces system complexity. In this work, we provide i) an end-to-end modeling framework that allows to model complex topologies through composition of reduced-order device models, ii) an in-depth discussion of universal dual-port GFM control for emerging power systems, and iii) end-to-end stability conditions that cover a wide range of network topologies, emerging technologies, and legacy technologies. Finally, we validate our findings in detailed case studies. © 2023, CC BY-NC-ND.

关键词： Complex networks

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Evaluation of an Intelligent Edge Computing System for the Hospital Intensive Care Unit 3

Evaluation of an Intelligent Edge Computing System for the H...

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3rd IEEE Eurasia Conference on Biomedical engineering, Healthcare and Sustainability, ECBIOS 2021

作者： Zida, Serge Ismael Lin, Yue-Der Lee, Cheng Lin Tsai, Yi Lun Program of Electrical and Communications Engineering Feng Chia University Taichung Taiwan Program of Biomedical Informatics and Biomedical Engineering Feng Chia University Taichung Taiwan Department of Automatic Control Engineering Feng Chia University Taichung Taiwan

ISBN: (纸本)9781728193045

The evolution of medical technology along with information and communication technologies has accelerated the development and operationalization of smart hospitals recently. Traditionally, such hospitals typically rely on cloud computing platforms for data treatment and processing. However, the expansion and popularization of Internet of Medical Things (IoMT) devices and constant data monitoring have resulted in massive amounts of generated data, leading to the overload of the cloud infrastructure. This results in high power consumption and latency in data transmission, which is critical especially in a healthcare environment where data flow must be particularly responsive. Thus, we proposed and designed a Raspberry Pi-based edge computing system to computer-intensive care unit (ICU) data at the periphery of the network to offload the hospital cloud platform. ICU medical data were simulated from the PhysioNet MIMIC III database and transferred to the edge platform for computation and identification of emergency cases that were then sent to the cloud level. We further discuss the current issues and prospects of edge computing in hospitals. © 2021 ECBIOS 2021. All rights reserved.

关键词： Intensive care units

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Diode Monitoring by Field Winding Axial Stray Flux in Brushless Synchronous Machines

Diode Monitoring by Field Winding Axial Stray Flux in Brushl...

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2022 International Conference on electrical Machines, ICEM 2022

作者： Platero, Carlos A. Bin Lee, Sang Tian, Pengfei Guerrero, José M. Universidad Politécnica de Madrid Automatic Electric and Electronic Engineering and Industrial Informatics Department Madrid28006 Spain Korea University Department of Electrical Engineering Seoul02841 Korea Republic of Universidad Politécnica de Madrid Energy and Fuels Department Madrid28003 Spain

ISBN: (数字)9781665414326

ISBN: (纸本)9781665414326

Brushless excitation system is one of the most used, mainly due to the reduced maintenance, thanks to the absence of slip rings and brushes. The field current of the synchronous machine is supplied by a rotating diode bridge, which is fed from an auxiliary machine called exciter. The ripple of the field current is produced by the diodes. It has a dominant frequency which depends on the diode bridge pulses and the rated frequency of the exciter. This operation conditions can be dangerous for the exciter in case of long-time operation. In this paper the supervision of the rotating diodes is performed through the analysis of the axial stray flux of the field windings. Numerous experimental tests have been carried out in a brushless synchronous machine at healthy conditions and with one open diode with satisfactory results. © 2022 IEEE.

关键词： Diodes

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EMI Conducted Emission on Synchronization Conditions for FPGA-Based Multidrives Network

EMI Conducted Emission on Synchronization Conditions for FPG...

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2023 International Symposium on Electromagnetic Compatibility - EMC Europe, EMC Europe 2023

作者： Nascimento, Douglas Smolenski, Robert Lezynski, Piotr Przybylski, Michal Moonen, Niek University of Zielona Góra University of Twente Hitachi Energy Kraków Poland University of Zielona Góra Institute of Automatic Control Electronics and Electrical Engineering Zielona Góra Poland University of Twente Department of Power Electronics and Electromagnetic Compatibility Enschede Netherlands

ISBN: (纸本)9798350324006

The power converters are essential for the development of renewable energy generation, conversion processes and energy storage systems. Besides, some applications require synchronization between converters e.g., industrial use as AC drives for motors, pumps, fans, drills and wheels. Thus, this paper presents a theoretical study with experimental validation of FPGA frequency and time synchronization conditions and its impact on conducted emissions (CE) from multidrives operations. For EMI assessment over those conditions, a LabVIEW-FPGA-based cyber-physical testbench was used to control the DC/AC converters using SPWM. It shows how the synchronization conditions impact the EMC in multiconverters systems over the EMI emissions and also highlights measures to mitigate the peak levels. The findings demonstrate that, depending on the condition, it reduces up to 29 dB of ground current peaks and 8 dB in EMI level, which may improve the EMC in DC distributed microgrids. © 2023 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Out-of-distribution Object Detection through Bayesian Uncertainty Estimation

Out-of-distribution Object Detection through Bayesian Uncert...

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International Conference on Information Fusion

作者： Tianhao Zhang Shenglin Wang Nidhal Bouaynaya Radu Calinescu Lyudmila Mihaylova Automatic Control and Systems Engineering The University of Sheffield UK Department of Electrical and Computer Engineering Rowan University USA Department of Computer Science University of York UK

The superior performance of object detectors is often established under the condition that the test samples are in the same distribution as the training data. However, in many practical applications, out-of-distribution (OOD) instances are inevitable and usually lead to uncertainty in the results. In this paper, we propose a novel, intuitive, and scalable probabilistic object detection method for OOD detection. Unlike other uncertainty-modeling methods that either require huge computational costs to infer the weight distributions or rely on model training through synthetic outlier data, our method is able to distinguish between in-distribution (ID) data and OOD data via weight parameter sampling from proposed Gaussian distributions based on pre-trained networks. We demonstrate that our Bayesian object detector can achieve satisfactory OOD identification performance by reducing the FPR95 score by up to 8.19% and increasing the AUROC score by up to 13.94% when trained on BDD100k and VOC datasets as the ID datasets and evaluated on COCO2017 dataset as the OOD dataset.

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Cooperative adaptive cruise control with string stability based on DMPC for vehicle platooning

Cooperative adaptive cruise control with string stability ba...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Ovidiu Pauca Mircea Lazar Constantin F. Caruntu Dept. of Automatic Control and Applied Informatics ”Gheorghe Asachi” Technical University of Iasi Iasi Romania Dept. of Electrical Engineering Eindhoven University of Technology Eindhoven The Netherlands

The cooperative adaptive cruise control (CACC) functionality received significant interest in the state-of-the-art due to its advantages in optimizing traffic flow. The model-based predictive control (MPC) strategy was used in various studies due to its advantages in improving the performance of the vehicles (reducing the travel costs, improving the quality of the travel by reducing sudden accelerations, and ensuring the stability of the platoons). Moreover, MPC solutions are built to maximize the advantages of vehicular communication by sharing predictions on states of vehicles (e.g., velocities, accelerations, trajectories). In addition, MPC is also used to compensate for the disturbances added by communications. Thus, this paper proposes a CACC strategy for a vehicle platoon. The solution is based on the distributed MPC (DMPC) strategy, and the controller is proposed in discrete time, ensuring predecessor-follower string stability for the whole platoon.

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Cloud Architectural Design for Image-based Vehicle Positioning in Traffic Management

Cloud Architectural Design for Image-based Vehicle Positioni...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Iosif-Alin Beti Paul-Corneliu Herghelegiu Cristian-Mihai Amarandei Constantin-Florin Caruntu Department of Automatic Control and Applied Informatics Gheorghe Asachi Technical University of Iaṣi Iasi Romania Department of Computer Science and Engineering Gheorghe Asachi Technical University of Iaṣi Iasi Romania

ISBN: (数字)9798350364293

ISBN: (纸本)9798350364309

Vehicle positioning algorithms are essential for improving traffic management and safety by accurately locating vehicles in real-time, and, thus, minimizing congestion and accidents. They also support the development of advanced driver assistance systems and autonomous vehicles, relying on precise positioning data for safe navigation. One of the solutions involves using image processing algorithms, which can have two approaches. One approach is decentralized, in which each vehicle performs its own computing steps and determines its position concerning the other nearby vehicles. The second approach, proposed in this paper, is centralized, where each vehicle sends data to a server that uses cloud computing to process all the data in real-time. As such, vehicles can create a more comprehensive view of the driving conditions in the area by using either of these two approaches, which can help them anticipate potential hazards and make more informed decisions.

关键词： Cloud computing Technological innovation 5G mobile communication Image processing Scalability Computer architecture Reliability theory Real-time systems Servers Autonomous vehicles

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