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International Scientific Conference Electronics (ET)

作者： Petar Minev Valentina Kukenska Matyo Dinev Ilian Varbov Department of Computer Systems and Technologies Faculty of Electrical Engineering and Electronics Technical University of Gabrovo 4 H. Dimitar str Gabrovo Bulgaria

ISBN: (数字)9798350376449

ISBN: (纸本)9798350376456

This paper presents a study on the effect of using a smaller number of inputs in the FPGA logic block calculated according to a pre-compiled model based on Rent’s rule. This rule, when applied to the FPGA logic block with a logic block crossbar, allows for the reduction of the size of its multiplexers, thereby reducing its area and the delays in the switching circuits. The study uses a set of benchmark circuits, which are implemented in FPGA architectures with predefined parameters. The obtained results allow for comparing the architectures based on the total area and the critical path delays of the benchmark circuits.

关键词： Multiplexing Analytical models Switches Benchmark testing Delays Logic Integrated circuit modeling Field programmable gate arrays Optimization Switching circuits

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Performance Evaluation of High Gain 2×2 MIMO Microstrip Antenna Operating at 28 GHz 2

Performance Evaluation of High Gain 2×2 MIMO Microstrip Ant...

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2nd IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and computer engineering, MI-STA 2022

作者： Ismail, Alyani Binti Rasid, M.F.A. Hamidon, Mohd Nizar B Abdullah, Raja Syamsul. A. Raja Shebani, Nafaa Mohamad Universiti Putra Malaysia Wireless and Photonics Networks Research Centre Department of Computer and Communication Systems Engineering Faculty of Engineering Serdang Malaysia Universiti Putra Malaysia Institute of Nanoscience and Nanotechnology Department of Electrical and Electronic Engineering Faculty of Engineering Serdang Malaysia

ISBN: (数字)9781665479189

ISBN: (纸本)9781665479189

In this paper, four configurations of 2×2 MIMO microstrip antenna operating at 28 GHz are proposed and simulated by computer Simulation Technology (CST) software. The antenna is designed on PTFE/Teflon substrate with dielectric constant of 2.1, loss tangent of 0.0002, and thickness of 1.58 mm. The performance of all proposed configurations of 2×2 MIMO antennas are evaluated based on the overall gain, envelope correlation coefficient (ECC), and diversity gain (DG). Moreover, the comparison between all cases in this work is done in order to choose the optimal configuration, and to prove the reliability of the design the best obtained case is compared with proposed antennas in published works. © 2022 IEEE.

关键词： Microstrip antennas

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Dynamic Construction and Adaptation of 3D Virtual Network Topology for UAV-Assisted Data Collection

Dynamic Construction and Adaptation of 3D Virtual Network To...

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IEEE Conference on computer Communications Workshops, INFOCOM Wksps

作者： Chen Qiu Xianbin Wang Weiming Shen Richard Lee Department of Electrical and Computer Engineering Western University London Canada General Dynamics Land Systems London Canada

Unmanned aerial vehicles (UAV) assisted data collection from on ground devices and sensors is becoming more useful in many mission-critical applications. However, meeting the data collection requirements under dynamic channel conditions between the UAV and on ground devices relies on frequent information exchanges, which brings great challenges to the dynamic operation of the integrated UAV network due to its inherent complexity. To rapidly obtain a holistic view in assisting the UAV network operation, we first propose a three-dimensional (3D) virtual network topology which helps the UAV to make faster decisions by analyzing refined virtual indicators instead of measuring and processing related physical factors frequently in real time. To improve the efficiency of UAV data collection, dynamic adaptation of the 3D virtual network topology is achieved by a deep deterministic policy gradient (DDPG) based algorithm, where the UAV flying speed and direction, as well as the determination of the target group of on ground devices are optimized under the UAV energy constraint. Simulation results demonstrate that the proposed DDPG-based dynamic adaptation of the 3D virtual network topology can effectively improve the data collection efficiency compared with the benchmark solutions.

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Electromagnetic-Thermal Performance Trade-Offs in Phased Arrays with Shaped Elevation Patterns

Electromagnetic-Thermal Performance Trade-Offs in Phased Arr...

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Antennas and Propagation & USNC/URSI National Radio Science Meeting

作者： Feza Turgay Celik Changxu Zhao Alexander Yarovoy Yanki Aslan Department of Microelectronics Microwave Sensing Signals and Systems Group Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft The Netherlands

ISBN: (数字)9798350369908

ISBN: (纸本)9798350369915

Both thermal and electromagnetic performance of substrate-integrated waveguide (SIW) and microstrip line-fed shaped-beam arrays with slot and patch radiating elements are conducted. Three array types operating at 26 GHz band, namely SIW slot array, SIW array with patches, and proximity coupled patch array, are considered. The array performances regarding shaped radiation pattern stability with frequency and maximal temperature at the power amplifier chips are discussed. The study highlights intriguing trade-offs between radiation pattern performance and cooling ability in phased arrays.

关键词： Phased arrays Microstrip antenna arrays Time-frequency analysis Electromagnetic waveguides Thermal conductivity Thermal analysis Microstrip

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Neural network control of green energy vehicles with blended braking systems

Renewable Energy and Power Quality Journal

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Renewable Energy and Power Quality Journal 2021年 19卷 344-349页

作者： Vodovozov, V. Petlenkov, E. Aksjonov, A. Raud, Z. Department of Electrical Power Engineering and Mechatronics Ehitajate tee 5 Tallinn19086 Estonia Department of Computer Systems Tallinn University of Technology Ehitajate tee 5 Tallinn19086 Estonia

A neural network-based control system is offered, which ensures high quality blended braking of the green energy vehicles in both the intensive and the gradual deceleration scenarios, with energy recovery at the changing road pavement. In this study, a neural network controller provides the torque gradient control without a tire model resulting in returning maximal energy to the hybrid energy source during the braking process. To meet the conflicting requirements of different braking modes and road surfaces, an allocation algorithm determines how to distribute the driver’s torque request between the friction and electrical brakes. Simulation demonstrates effectiveness of the proposed braking system. Model states and inputs are used as a guidance to learn a coupled two-layer neural network capable to capture various dynamic behaviours that could not be included in the simplified physics-based model. An experimental part of the research proves the model and simulation validity. © 2021, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.

关键词： Roads and streets

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Temporal Sensitivity Analysis of Internal Temperature Informed Charging Algorithms and Rapid Thermal Management System for E-mobility

Temporal Sensitivity Analysis of Internal Temperature Inform...

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IEEE Energy Conversion Congress and Exposition, ECCE

作者： Akash Samanta Chandan Chetri Dominic Karnehm Antje Neve Sheldon Williamson Department of Electrical Computer and Software Engineering Ontario Tech University Oshawa Canada Institute of Intelligent Distributed Systems Bundeswehr University Munich Germany

ISBN: (数字)9798350376067

ISBN: (纸本)9798350376074

The experimental studies presented in this paper reveal that existing thermal management systems (TMS) and temperature-informed charging algorithms exhibit a response time lag of at least 5.3 minutes due to their reliance on surface temperature measurements. The results indicate that changes in the internal thermal state of lithium-ion batteries (LIBs), induced by variations in charging currents, take an average of 2 minutes to manifest on the battery surface, particularly evident in cylindrical cells. Current thermal management systems for automotive battery packs solely rely on surface temperature measurements, neglecting the approximately 5.8°C temperature difference between the core and surface in TMS control. Consequently, changes in the battery's thermal state due to internal heat losses are not promptly detected by surface-mounted temperature sensors. This delayed response time accelerates battery degradation and increases the risk of thermal runaway events. In this study, temperature-informed fast charging algorithms, tested under various ambient conditions for LIBs, along with a comparative analysis, demonstrate that response time can be reduced by at least 2 minutes by considering internal temperature rather than relying solely on surface temperature measurements. Moreover, accounting for the temperature difference between the core and surface facilitates rapid TMS control and health-conscious fast charging, thereby mitigating the risk of thermal runaway events.

关键词： Temperature measurement Temperature sensors Heating systems Sensitivity analysis Surface charging Thermal management Time measurement Fast charging Time factors Thermal degradation

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Efficient Prediction of Admittance of Inverter-Based Resources Across Operating Points: A Comprehensive Test

Efficient Prediction of Admittance of Inverter-Based Resourc...

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IEEE General Meeting Power& Energy Society

作者： Jaleel Mesbah Jingzhe Xu Weihua Zhou Behrooz Bahrani Sushrut Thakar Stavros Konstantinopoulos Deepak Ramasubramanian Mobolaji Bello Department of Electrical and Computer Systems Engineering Monash University Melbourne Australia Power Delivery and Utilization Electric Power Research Institute Knoxville USA

ISBN: (数字)9798350381832

ISBN: (纸本)9798350381849

This paper presents a comprehensive comparative study of two admittance prediction algorithms—data-driven and analytical—applied to Inverter-Based Resources (IBRs). The performance of these algorithms is compared using a set of white-box IBR models, with the same training and test points employed for both to ensure a consistent basis for comparison. The study evaluates the effectiveness of these methods in accurately predicting the admittance of IBRs, emphasizing the influence of Operating Point (OP) variations on prediction accuracy. Performance evaluation is conducted through a "goodness of fit" metric. Additionally, this paper conducts a sensitivity analysis of the Analytical Prediction Method (APM), examining its adaptability across different control structures and parameters. Ultimately, this paper validates the APM using a generic black-box model, underlining its applicability and potential in real-world scenarios.

关键词： Training Sensitivity analysis Closed box Training data Prediction methods Power system stability Prediction algorithms Stability analysis Admittance Inverter-based resource

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Real-time Improved Nearest Level Control for Power Electronics Building Blocks in All-Electric Ship Power systems

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IEEE Transactions on Industry Applications 2025年

作者： Moghassemi, Ali Timilsina, Laxman Rahman, S. M. Imrat Arsalan, Ali Muriithi, Grace Buraimoh, Elutunji Ozkan, Gokhan Papari, Behnaz Edrington, Christopher S. Zhang, Zheyu Chamarthi, Phani Kumar Holcombe Department of Electrical and Computer Engineering ClemsonSC29634 United States Clemson University Department of Automotive Engineering GreenvilleSC29607 United States Clemson University Dominion Energy Innovation Center North CharlestonSC29405 United States Rensselaer Polytechnic Institute Electrical Computer Systems Engineering TroyNY12180 United States Environmental Research and Innovation Department Belval Luxembourg

Power electronics building block (PEBB) concept involves integrating fundamental components into functional blocks that can be stacked, extending converter power ratings for all-electric ships (AESs). This modular approach reduces costs, size, weight, design complexity, and maintenance. PEBBs can be realized as modular multi-level converters (MMCs), which offer advantages like modularity, low switching losses, minimal voltage/current quantization, high reliability, and efficiency. However, effective switching control methods are crucial to balance capacitor voltages and suppress circulating currents. This paper proposes an improved nearest level control (NLC) method that employs smoothed trapezoidal reference signals instead of sinusoidal references, aiming to enhance capacitor voltage balancing, suppress circulating currents, and improve the output power quality of PEBBs in AESs. The proposed NLC method is analyzed in real-time for an N-level PEBB connected to an induction machine (IM) with variable speed and torque load. The real-time verification is conducted in the Typhoon HIL606 digital real-time simulator (DRTS). The results validate the feasibility and effectiveness of the proposed NLC method for a three-phase N-level PEBB concept for AESs. © 1972-2012 IEEE.

关键词： Capacitors

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A Long-Term Voltage Stability Margin Index Based on Multiple Real Power Flow Solutions

A Long-Term Voltage Stability Margin Index Based on Multiple...

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IEEE General Meeting Power& Energy Society

作者： Bin Wang Dan Wu Xiaowen Su Kai Sun Le Xie Department of Electrical and Computer Engineering University of Texas at San Antonio San Antonio TX School of Electrical and Electronic Engineering Huazhong University of Science and Technology Lab for Information and Decision Systems Massachusetts Institute of Technology Cambridge MA Department of Electrical Engineering and Computer Science University of Tennessee TN Department of Electrical and Computer Engineering Taxes A&M University College Station TX

In this paper, we demonstrate the distribution of real-valued power flow solutions and its application to the long-term voltage stability. It is the first time in power engineering we realize that even a small-scale IEEE standard power system can admit a humongous number of real-valued solutions for a single load and generation profile. For example, the IEEE 30-bus system can achieve 25686 many different real-valued solutions at a light loading condition. Furthermore, a mysterious class of “false” power flow solutions is reported and analyzed rigorously as legitimate numerical solutions. All solution sets investigated in this paper are posted online associated with this paper to support potential future applications [1]. Based on these extensive solved power flow solutions, we exhibit their occurrence patterns and distributions at different loading levels, and propose a long-term voltage stability margin index to quantify the long-term voltage stability of a given power flow condition. Numerical studies on a 5-bus system and a 57-bus system show the feasibility and effectiveness of the proposed index in assessing power system long-term voltage stability margin.

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Joint Resource Allocation and Data Offloading for Closed-Loop Controls in Satellite-UAV Networks 16

Joint Resource Allocation and Data Offloading for Closed-Loo...

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16th International Conference on Wireless Communications and Signal Processing, WCSP 2024

作者： Lei, Chengleyang Feng, Wei Wei, Peng Chen, Yunfei Ge, Ning Mao, Shiwen Tsinghua University Department of Electronic Engineering Beijing100084 China Tsinghua University State Key Laboratory of Space Network and Communications Beijing100084 China University of Electronic Science and Technology of China National Key Laboratory of Science and Technology on Communications Chengdu611731 China University of Durham Department of Engineering DurhamDH1 3LE United Kingdom Auburn University Department of Electrical and Computer Engineering AuburnAL36849 United States

ISBN: (纸本)9798350390643

To efficiently provide coverage for the machines and robots in remote areas, satellites and unmanned aerial vehicles (UAVs) can be utilized. In such scenarios, UAVs need to integrate different functions to support the control tasks of robots efficiently, while satellites can serve as backhaul to the cloud. To improve the overall performance of the closed-loop control tasks of robots, we jointly optimize the communication and computing resource allocation with data offloading. Specif-ically, we explore the linear quadratic regulator (LQR) cost to measure the control performance and formulate a sum LQR cost minimization problem. An iterative algorithm is proposed to solve the optimization problem. Simulation results are provided to demonstrate the superiority of the proposed scheme. © 2024 IEEE.

关键词： Resource allocation

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