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International Conference on Power Electronic Drives

作者： Ghanshyam Meena Akhilesh Mathur V. P. Singh Krishna Murari Sukumar Kamalasadan Department of Electrical Engineering Malaviya National Institute of Technology Jaipur Rajasthan India Electrical Engineering and Computer Science Department The University of Toledo Toledo Ohio USA EPIC and Department of Electrical Engineering Power Energy and Intelligent Systems Laboratory University of North Carolina at Charlotte Charlotte NC USA

ISBN: (数字)9798350372472

ISBN: (纸本)9798350372489

Short-circuit problems in unbalanced radial distribution networks have become more common as a result of distributed generation connectivity and smart grid advancements. An accurate and effective strategy for assessing these faults due to short circuits is presented in this study. In contrast to traditional methods, this approach uses relationship matrices that are created expressly to take use of distribution network's radial characteristics. Through the examination of variations in bus voltages, bus current injections, and branch currents during fault conditions, the suggested method formulates the analysis of various fault types. The accuracy of developed method has been validated on IEEE-123 bus modified test network by comparing the obtained results with PSCAD/EMTDC simulation results.

关键词： Accuracy Simulation Distribution networks Drives Power electronics Distributed power generation Smart grids Circuit faults Active distribution networks

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ODD: Omni Differential Drive for Simultaneous Reconfiguration and Omnidirectional Mobility of Wheeled Robots

arXiv

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arXiv 2024年

作者： Zhao, Ziqi Xie, Peijia Meng, Max Q.-H. Shenzhen Key Laboratory of Robotics Perception and Intelligence The Department of Electronic and Electrical Engineering Southern University of Science and Technology Shenzhen China The Department of Electronic Engineering The Chinese University of Hong Kong Hong Kong The Department of Electrical and Computer Engineering The University of Alberta Canada

Wheeled robots are highly efficient in human living environments. However, conventional wheeled designs, with their limited degrees of freedom and constraints in robot configuration, struggle to simultaneously achieve stability, passability, and agility due to varying footprint needs. This paper proposes a novel robot drive model inspired by human movements, termed as the Omni Differential Drive (ODD). The ODD model innovatively utilizes a lateral differential drive to adjust wheel spacing without adding additional actuators to the existing omnidirectional drive. This approach enables wheeled robots to achieve both simultaneous reconfiguration and omnidirectional mobility. To validate the feasibility of the ODD model, a functional prototype was developed, followed by comprehensive kinematic analyses. Control systems for self-balancing and motion control were designed and implemented. Experimental validations confirmed the feasibility of the ODD mechanism and the effectiveness of the control strategies. The results underline the potential of this innovative drive system to enhance the mobility and adaptability of robotic platforms. Copyright © 2024, The Authors. All rights reserved.

关键词： Kinematics

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GPU-Accelerated Cross-Modal SAR-EO Image Homography Estimation

GPU-Accelerated Cross-Modal SAR-EO Image Homography Estimati...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Christopher Beam Andrew Willis Garrett Demeyer Kevin Brink Department of Electrical and Computer Engineering University of North Carolina at Charlotte Charlotte NC Air Force Research Laboratory Munitions Directorate FL

This article proposes a massively-parallel approach for solving the difficult problem matching high-altitude image pairs from different domains, e.g., Synthetic Aperture Radar (SAR) and visible light imagery (EO). The through-weather measurement capability of SAR allows this technology to yield vehicle position fixes in inclement weather and during either night or daytime for image-aided navigation. This work focuses on developing capabilities to match across a large range of variations in the unknown parameters of the homography that brings these image pairs into correspondence. This is a problem that is not well-solved by any existing approaches and is important in practice as cross-domain imagery from aerial platforms often exhibits large variations in scale, keystone, rotation and translation effects that can be different in the x and y axes. Our approach for cross-modal image matching uses a mutual information loss function and applies a massively-parallel search procedure in CUDA to detect and explore the loss function to find satisfactory homographies to match the image pairs. Experiments are performed using simulated image telemetry obtained by flying a fixed wing aircraft in a virtual environment with image data derived from Google Maps and RADARSAT Google Earth Engine image databases. Results show a comparison rate of 12.79 Gpixel/sec and has a search rate of 1.8M matches/sec allowing for exhaustive search solutions. Our approach is found to yield accurate homography values according to our normalized corner error metric for 68% of the image database pairs.

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Distributed Software-Defined Network Architecture for Smart Grid Resilience to Denial-of-Service Attacks

Distributed Software-Defined Network Architecture for Smart ...

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IEEE General Meeting Power& Energy Society

作者： Dennis Agnew Sharon Boamah Reynold Mathieu Austin Cooper Janise McNair Arturo Bretas Department of Electrical and Computer Engineering University of Florida Gainesville FL Distributed Systems Group Pacific Northwest National Laboratory Richland WA

An important challenge for smart grid security is designing a secure and robust smart grid communications architecture to protect against cyber-threats, such as Denial-of-Service (DoS) attacks, that can adversely impact the operation of the power grid. Researchers have proposed using Software Defined Network frameworks to enhance cybersecurity of the smart grid, but there is a lack of benchmarking and comparative analyses among the many techniques. In this work, a distributed three-controller software-defined networking (D3-SDN) architecture, benchmarking, and comparative analysis with other techniques is presented. The selected distributed flat SDN architecture divides the network horizontally into multiple areas or clusters, where each cluster is handled by a single Open Network Operating System (ONOS) controller. A case study using the IEEE 118-bus system is provided to compare the performance of the presented ONOS-managed D3-SDN, against the POX controller. In addition, the proposed architecture outperforms a single SDN controller framework by a tenfold increase in throughput; a reduction in latency of > 20%; and an increase in throughput of approximately 11% during the DoS attack scenarios.

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An Enhanced Data-Driven Model for Lithium-Ion Battery State-of-Health Estimation with Optimized Features and Prior Knowledge

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Automotive Innovation 2022年第2期5卷 134-145页

作者： Huanyang Huang Jinhao Meng Yuhong Wang Lei Cai Jichang Peng Ji Wu Qian Xiao Tianqi Liu Remus Teodorescu College of Electrical Engineering Sichuan UniversityChengduChina Faculty of Computer Science and Engineering Shanxi Key Laboratory for Network Computing and Security TechnologyXi’an University of TechnologyXi’anChina Smart Grid Research Institute Nanjing Institute of TechnologyNanjingChina Department of Automation University of Science and Technology of ChinaHefeiChina Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjinChina Department of Energy Technology Aalborg University9220 AalborgDenmark

In the long-term prediction of battery degradation,the data-driven method has great potential with historical data recorded by the battery management *** paper proposes an enhanced data-driven model for Lithium-ion(Li-ion)battery state of health(SOH)estimation with a superior modeling procedure and optimized *** Gaussian process regression(GPR)method is adopted to establish the data-driven estimator,which enables Li-ion battery SOH estimation with the uncertainty level.A novel kernel function,with the prior knowledge of Li-ion battery degradation,is then introduced to improve the mod-eling capability of the *** for the features,a two-stage processing structure is proposed to find a suitable partial charging voltage profile with high *** the first stage,an optimal partial charging voltage is selected by the grid search;while in the second stage,the principal component analysis is conducted to increase both estimation accuracy and computing *** of the proposed method are validated on two datasets from different Li-ion batteries:Compared with other methods,the proposed method can achieve the same accuracy level in the Oxford dataset;while in Maryland dataset,the mean absolute error,the root-mean-squared error,and the maximum error are at least improved by 16.36%,32.43%,and 45.46%,respectively.

关键词： Li-ion battery State of health Gaussian process regression Kernel function Feature optimization

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Towards GPS-Denied Spotlight SAR Image Formation

Towards GPS-Denied Spotlight SAR Image Formation

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Andrew Willis Christopher Beam Garrett Demeyer Kevin Brink Dept of Electrical and Computer Engineering University of North Carolina at Charlotte Charlotte NC Munitions Directorate Air Force Research Laboratory FL

Synthetic Aperture Radar (SAR) systems emit pulses of (Radio Frequency) RF energy from an antenna into the environment over short intervals in time. Reflected RF energy is received coherently by a receiving antenna and signal processing focusing algorithms process the received signals using one of many potential focusing algorithms to form 2D images of the scene. Formation of these images requires highly accurate knowledge of the antenna state, e.g., the position, orientation and their velocities, when transmitting and receiving RF signals. This information is typically obtained using a combination of a high-quality Global Positioning System (GPS) receiver and a highly-accurate Inertial Navigation System (INS). SAR dependence on GPS and INS data prohibit SAR image formation in GPS-denied contexts which limit the application of this technology. This work investigates approaches for focusing SAR images when GPS is unavailable.

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Dead-time Compensation Method for Bus-clamping Modulated Voltage Source Inverter

Dead-time Compensation Method for Bus-clamping Modulated Vol...

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IEEE Energy Conversion Congress and Exposition, ECCE

作者： Reza Asrar Ghaderloo Yidi Shen Chanaka Singhabahu Rakesh Resalayyan Alireza Khaligh Department of Electrical and Computer Engineering and The Institute for Systems Research Maryland Power Electronics Laboratory University of Maryland College Park MD USA

Bus-clamping Pulse Width Modulation (PWM) is an effective method to reduce the switching loss in a three-phase voltage source inverter (VSI). In bus-clamping PWM scheme, the phase legs are switched using high frequency PWM signals for two-third of the line cycle, while for the remaining duration of cycle, the pole voltage is clamped to either positive or negative rail of the DC bus. In PWM operation of a half bridge, a dead-time is applied between the gate signals of complementary switches to ensure safe and reliable operation. However, introduction of dead-time leads to poor power quality, increased Total Harmonic Distortion (THD) and variation in actual voltage compared to the intended pole voltage. Moreover, when the bus-clamping technique is used, the PWM has both high frequency switching region and clamped region in a line cycle, and consequently, the undesired effects of dead-time are further aggravated. Therefore, in order to enhance the quality of output voltage, this paper presents a dead-time compensation strategy for a VSI operating with bus-clamping PWM. The proposed method calculates the required compensation term to be added on the modulation signal considering wide range of operating conditions. Additionally, the compensation includes a new strategy for low current conditions near zero-crossing to avoid distortion. The proposed method is verified by simulation and experiments in a three-phase VSI with a switching frequency of 100 kHz and a fundamental frequency of 60Hz.

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GPU-Based Algorithms for Processing the k Nearest-Neighbor Query on Disk-Resident Data 10th

GPU-Based Algorithms for Processing the k Nearest-Neighbor Q...

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10th International Conference on Model and Data engineering, MEDI 2021

作者： Velentzas, Polychronis Vassilakopoulos, Michael Corral, Antonio Data Structuring and Engineering Laboratory Department of Electrical and Computer Engineering University of Thessaly Volos Greece Department of Informatics University of Almeria Almería Spain

ISBN: (纸本)9783030784270

Algorithms for answering the k Nearest-Neighbor (k-NN) query are widely used for queries in spatial databases and for distance classification of a group of query points against a reference dataset to derive the dominating feature class. GPU devices have much larger numbers of processing cores than CPUs and faster device memory than the main memory accessed by CPUs, thus, providing higher computing power for processing demanding queries like the k-NN one. However, since device and/or main memory may not be able to host an entire, rather big, reference dataset, storing this dataset in a fast secondary device, like a Solid State Disk (SSD) is, in many practical cases, a feasible solution. We propose and implement the first GPU-based algorithms for processing the k-NN query for big reference data stored on SSDs. Based on 3d synthetic big data, we experimentally compare these algorithms and highlight the most efficient algorithmic variation. © 2021, Springer Nature Switzerland AG.

关键词： Graphics processing unit

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A Hybrid Scheme for Reconfigurable Intelligent Surfaces: How Many Elements Should be Estimated?

A Hybrid Scheme for Reconfigurable Intelligent Surfaces: How...

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IEEE Conference on Global Communications (GLOBECOM)

作者： Andreas Nicolaides Constantinos Psomas Sheng Yang Ioannis Krikidis Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus Laboratory of Signals and Systems CentraleSupélec Gif-sur-Yvette France

In this work, a low-complexity hybrid scheme is presented for a wireless network assisted by a reconfigurable intelligent surface (RIS), where channel estimation is required for only a subset of the elements. Specifically, in order to reduce the channel training overhead and boost the performance of the RIS-aided network, the RIS is partitioned in two sub-surfaces, which are sequentially activated to assist the communication. The elements of the first sub-surface align their phase shifts, based on the acquired channel state information (CSI) from a channel training period, whereas the elements of the second sub-surface randomly rotate the phase of the incident signals. The performance of the proposed scheme is investigated under the effect of imperfect CSI acquisition at the RIS. Analytical expressions for the outage probability are derived and useful insights on the optimal configuration of the RIS are provided. We show that, by optimizing the number of elements that need to be estimated, the proposed scheme provides significant performance gains and overcomes the limitations caused by the imperfect CSI acquisition.

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Spin current leakage and Onsager reciprocity in interfacial spin-charge interconversion

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Physical Review B 2024年第9期109卷 094424-094424页

作者： Aurélien Manchon Shuyuan Shi Hyunsoo Yang Aix-Marseille Université CNRS CINaM Marseille France Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore Fert Beijing Institute MIIT Key Laboratory of Spintronics School of Integrated Circuit Science and Engineering Beihang University Beijing 100191 China

Experimental investigations of spin-charge interconversion in magnetic bilayers comprising a ferromagnet adjacent to a topological insulator have reported scattered results on the spin-charge and charge-spin conversion efficiency. Attempting to reconcile these contradicting experimental results, we develop a phenomenological theory of spin-charge interconversion accounting for both interfacial interconversion through the spin galvanic effect, also called the Rashba-Edelstein effect, as well as bulk interconversion via the spin Hall effect. We find that the spin current leakage into the nonmagnetic metal plays a central role during the spin-to-charge and charge-to-spin conversion, leading to dissymmetric interconversion processes. In particular, spin-to-charge conversion is much less sensitive to the spin current absorption in the nonmagnetic metal than charge-to-spin conversion. This suggests that spin pumping is a more trustable technique to extract the interfacial Rashba parameter than spin-orbit torque.

关键词： Spin-orbit torque Spintronics Topological materials

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