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14th International Conference on Power, Energy and Electrical engineering, CPEEE 2024

作者： Majeed, Ammar A. Abderrahim, Mohamed Alkhazraji, Afaneen Department of System Engineering and Automation University Carlos Iii of Madrid Avada de la Universidad 30 Leganes Madrid28911 Spain Communication Engineering Department University of Technology-Iraq Al-Sina'a St Baghdad10066 Iraq

ISBN: (纸本)9781643685199

Distributed Generation (DG) embedded with Distribution Networks (DNs) has been developed because its performance has become more efficient and sustainable. This reconfiguration mode increases the short-circuit current (SCC), and subsequently heightens the complexities involved in both the setting and operation of the overcurrent protection system. Therefore, it is necessary to develop a robust protection strategy for DNs integrated with DG to prevent the electrical equipment from collapsing during abnormal conditions. This study proposed one of the most important and reliable strategies for resetting and re-coordinating overcurrent relays (OCRs) that operate in the same protection zone of the distribution feeder. This methodology restricts the main variables and elements used in the protection device (PD) setting after DG is embedded to redesign a suitable setting and coordination. However, international, and national benchmark standards are used to specify suitable equations that satisfy high-protection system characteristics to ensure the reliability of DNs according to a real case study of a medium voltage level 33kV in the electrical distribution feeder of Baghdad, Iraq. © 2024 The Authors.

关键词： Distributed power generation

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Distributed Energy Management for Ship-Integrated Energy system: Secure and Green Sailing

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IEEE Transactions on Transportation Electrification 2025年第3期11卷 8189-8201页

作者： Zhang, Yuxin Xiao, Yang Teng, Fei Li, Tieshan Dalian Maritime University Navigation College Liaoning Dalian116026 China The University of Alabama Department of Computer Science TuscaloosaAL35487 United States Dalian Maritime University Marine Electrical Engineering College Liaoning Dalian116026 China University of Electronic Science and Technology of China School of Automation Engineering Sichuan Chengdu611731 China University of Electronic Science and Technology of China Huzhou313001 China

With increasing the awareness of environmentally friendly, the ship-integrated energy system (S-IES) combined with power and heating networks has become an upcoming trend in the shipbuilding industry. It decreases the consumption of fuel-based resources by integrating renewable energy resources to replace traditional fossil-based generators partly. Meanwhile, with many intelligent devices, the S-IES performs partitioned and autonomous features because of the unique operational structure. Therefore, the normal operation of S-IES is highly vulnerable, which will be bothered by the infeasibility-driven attack for shipboard devices and influenced by the uncertainties of renewable energy resources. To this end, the energy management problem (EMP) under cyber attacks for S-IES is focused on ensuring secure and green sailing in this article. To balance the number of nods and decrease the communication resources among energy devices, a partitioning algorithm is designed to construct the energy router (ER)-based energy hub (EH) for S-IES. Meanwhile, considering the tradeoff relationship between the economy and carbon emission, a multiobjective energy management model with feasible sailing constraints is designed. Then, to ensure the information exchange among EHs using ERs, a distributed resilient energy management strategy with a detection mechanism is proposed to acquire the optimal solutions under cyber attack. Finally, the theoretical analysis verifies the effectiveness of the designed distributed resilient strategy. Simulation results of different scenarios prove the great performance on ensuring secure and green sailing for ships by the constructed energy management model and its distributed resilient strategy. © 2015 IEEE.

关键词： Distributed energy

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Vision-Based Fixed-Time Uncooperative Aerial Target Tracking for UAV

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IEEE/CAA Journal of Automatica Sinica 2023年第5期10卷 1322-1324页

作者： Peng Sun Siqi Li Bing Zhu Zongyu Zuo Xiaohua Xia the Seventh Research Division Beihang UniversityBeijing 100191China the School of Automation Beijing Institute of TechnologyBeijing 100081China the Department of Electrical Electronic and Computer EngineeringUniversity of PretoriaPretoria 0002South Africa

Dear Editor,In this letter,a vision-based fixed-time control is proposed for an unmanned aerial vehicle(UAV)with actuator saturation to track an uncooperative *** fixed-time control is designed in backstepping *** rel... 详细信息

关键词： Fixed cooperative letter

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A sEMG-based Muscle-Compensation-Error Elimination Module for the Home-Based Bilateral Rehabilitation system

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IEEE Robotics and automation Letters 2025年第7期10卷 6696-6703页

作者： Wang, Hanze Guo, Shuxiang Li, He Ding, Mingchao Southern University of Science and Technology Department of Electronic and Electrical Engineering Guangdong Shenzhen518055 China Beijing Institute of Technology Aerospace Center Hospital School of Life Science The Key Laboratory of Convergence Medical Engineering System and Healthcare Technology Ministry of Industry and Information Technology Beijing100081 China Beijing Institute of Technology Department of Peripheral Vascular Intervention Aerospace Center Hospital School of Life Science Beijing100081 China

Home-based bilateral training using exoskeletons is considered an effective rehabilitation method to restore the normal motion function of stroke patients' limbs. However, due to the imbalance of limb muscle strength, muscle compensation of the functional upper limb will cause surface electromyography (sEMG) signal fluctuations. The signal fluctuations will lead to prediction errors, thereby affecting the effect of bilateral rehabilitation. To eliminate the prediction error caused by muscle compensation, a novel rehabilitation module for a home-based bilateral rehabilitation robotic system is proposed in this letter. This sEMG-driven rehabilitation module, which incorporates the channel splitting and transferable frequency domain, first identifies the type of muscle compensation mixed in continuous movement and then eliminates the error caused by muscle compensation. Online experiments were conducted to evaluate the system in tracking accuracy and muscle-compensation-error elimination, which showed the proposed rehabilitation system with rehabilitation module achieved fast adaption to the patient's compensatory movement as well as improving the effect of robot-assisted bilateral training. © 2025 IEEE.

关键词： Human rehabilitation equipment

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Optimizing Route Efficiency in Formula One (F1) Vehicles Using Reinforcement Learning Algorithms 4

Optimizing Route Efficiency in Formula One (F1) Vehicles Usi...

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4th IEEE International Conference on Artificial Intelligence in Cybersecurity, ICAIC 2025

作者： Narejo, Sanam Khan, Muhammad Taimoor Shaikh, Muhammad Zakir Dhirani, Lubna Luxmi Chowdhery, Bhawani Shankar Mehran Univerity of Engineering and Technology Department of Computer Systems Jamshoro Pakistan Mehran Univerity of Engineering and Technology Jamshoro National Centre for Robotics Automation and Artificial Intelligence Pakistan University of Malaga Mechanical Engineering and Energy Efficiency School of Industrial Engineering Malaga Spain University of Limerick Department of Electronic and Computer Engineering Limerick Ireland

ISBN: (纸本)9798331518882

This research explores the application of reinforcement learning (RL) to enhance route efficiency and performance of a Formula One (F1) car within a simulation environment. The simulation is implemented using Python, NEAT (NeuroEvolution of Augmenting Topologies), and PyGame to create a dynamic system where neural networks control the car's navigation. RL enables the F1 car, acting as an agent, to learn optimal decisions through a fitness-based reward mechanism by interacting with its environment. Equipped with radar sensors to detect obstacles and measure distances, the virtual car adjusts its speed and steering to avoid collisions and optimize movement. Over successive generations, the RL algorithm refines the car's driving ability, improving speed and directional control to maximize distance covered and minimize lap times. A fitness-based evaluation system tracks progress, providing metrics such as best and average fitness scores, which highlight the car's evolving performance. Results demonstrate the effectiveness of RL in enhancing autonomous driving capabilities, enabling the car to navigate complex environments and improve decision-making across generations. © 2025 IEEE.

关键词： Reinforcement learning

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Compressive near-field millimeter wave imaging algorithm based on Gini index and total variation mixed regularization

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Journal of electronic Science and technology 2023年第1期21卷 65-74页

作者： Jue Lyu Dong-Jie Bi Bo Liu Guo Yi Xue-Peng Zheng Xi-Feng Li Li-Biao Peng Yong-Le Xie Yi-Ming Zhang Ying-Li Bai School of Automation Engineering University of Electronic Science and Technology of ChinaChengdu611731China Shanghai Spaceflight Precision Machinery Institute Shanghai201600China Electrical Engineering Department Northwestern UniversityEvanston60208USA Institute of Telecommunication Satellite China Academy of Space TechnologyBeijing100094China

A compressive near-field millimeter wave(MMW)imaging algorithm is *** the compressed sensing(CS)theory,the compressive near-field MMW imaging process can be considered to reconstruct an image from the under-sampled sparse *** Gini index(GI)has been founded that it is the only sparsity measure that has all sparsity attributes that are called Robin Hood,Scaling,Rising Tide,Cloning,Bill Gates,and *** combining the total variation(TV)operator,the GI-TV mixed regularization introduced compressive near-field MMW imaging model is *** addition,the corresponding algorithm based on a primal-dual framework is also *** results demonstrate that the proposed GI-TV mixed regularization algorithm has superior convergence and stability performance compared with the widely used l1-TV mixed regularization algorithm.

关键词： Millimeter wave(MMW) Compressed sensing(CS) Gini index(GI) Total variation(TV) Signal processing Image reconstruction

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DC inductor loss measurement used in DC/DC converters under high DC current conditions

DC inductor loss measurement used in DC/DC converters under ...

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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Le, Huu Thien Matsumori, Hiroaki Takano, Koushi Wada, Keiji Nagoya Institute of Technology Department of Electrical and Mechanical Engineering Aichi Japan Tokyo Metropolitan University Faculty of System Design Department of Electronic Information Systems Engineering Tokyo Japan

ISBN: (纸本)9798350316445

This paper presents a DC inductor loss measurement system that is used in high-power DC/DC converter applications. However, accurate DC inductor loss measurement under high-power DC/DC converter excitation has been a significant challenge due to phase error problems between the high-voltage and high-current sensors. Therefore, the authors developed a high-power DC inductor excitation system and a new phase error compensation method to enhance measurement accuracy. The DC inductor excitation circuit can emulate the excitation of a maximum 120 kVA equivalent application by regenerating power. The phase errors, including the A/D timing difference in the digital sample recorder, are corrected over a wide range with the largest phase error being 0.013. The loss measurement error percentage is theoretically less than 0.56% in the test DC inductor. Furthermore, the measurement accuracy is verified using state-of-the-art loss analysis, including both FEM analysis and iron loss data mapping for power electronics applications. © 2023 IEEE.

关键词： boost DC/DC converters DC inductor loss map method loss measurement phase error correction

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Decentralized Byzantine-Resilient Stochastic Optimization Over Multi-Agent systems with Arbitrary Communication Delays 6

Decentralized Byzantine-Resilient Stochastic Optimization Ov...

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6th International Conference on electronic engineering and Informatics, EEI 2024

作者： Hu, Jinhui Guo, Xiaoyu Li, Weihao Zong, Shutong Central South University Department of Automation Changsha410083 China City University of Hong Kong Department of Biomedical Engineering Kowloon Hong Kong School of Aeronautics and Astronautics University of Electronic Science and Technology of China Chengdu611731 China University of Science and Technology of China Department of Automation Anhui Hefei230027 China

ISBN: (纸本)9798350353594

Byzantine failures and communication delays impose great challenges to the decision-making process of multiagent systems (MASs). In this paper, we aim to resolve a category of general finite-sum optimization problems with simultaneous presence of Byzantine agents and arbitrary time-varying communication delays over networks. The number of Byzantine agents and their identities are unknown to reliable agents and the communication delays are not necessarily bounded. To alleviate the negative impact incurred by Byzantine agents and communication delays, both a generalized norm-penalized approximation technique and an age tracker are considered in the development of a decentralized Byzantine-resilient stochastic sub-gradient algorithm, dubbed DeSSO-AD. Theoretical analysis characterizes an explicit sub-linear convergence rate for DeSSO-AD based on a diminishing step-size. The effectiveness and resilience of DeSSO-AD are demonstrated via handling a machine-learning problem under cyber attacks and time-varying communication delays. © 2024 IEEE.

关键词： Stochastic systems

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MMC Based D-STATCOM Control by Using a Modified ADRC Strategy 8

MMC Based D-STATCOM Control by Using a Modified ADRC Strateg...

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8th Southern Power electronics Conference and the 17th Brazilian Power electronics Conference, SPEC / COBEP 2023

作者： Neto, João A. Moor Zachi, Alessando R. Paucar, Braulio Chuco Do Brasil, Thiago Americano Mussa, Samir Ahmad CEFET-RJ Department of Electrical Engineering Rio de Janeiro Brazil CEFET-RJ Department of Control System and Automation Engineering Rio de Janeiro Brazil UFSC - Sc Dept. of Electrical and Electronic Engineering Florianopolis Brazil

ISBN: (纸本)9798350321128

This paper presents investigations of a transformerless half bridge sub-module (HBSM) modular multilevel converter based distribution static synchronous compensator (MMC D-STATCOM) performance in reactive power compensation considering the application of the modified ADRC controllers in the inner current loop and in the outer DC voltage loop using Synchronous Reference Frame Control. Simulation results with the imposition of severe variations in reactive loads were obtained on a 5 km medium voltage feeder and will demonstrate that the modified ADRC controller enables superior performance for flexible operation with fast and efficient response of the MMC D-STATCOM in reactive power compensation. © 2023 IEEE.

关键词： ADRC controller D-STATCOM PI controller PSCAD/EMTDC Reactive Power Compensation

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Line-Start Permanent Magnet Machines for Low-Power Applications

Line-Start Permanent Magnet Machines for Low-Power Applicati...

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2024 International Conference on Electrical Machines, ICEM 2024

作者： Barta, Jan Toman, Marek Losak, Petr Aarniovuori, Lassi Vitek, Ondrej Brno University of Technology Department of Power Electrical and Electronic Engineering Brno Czech Republic Institute of Automation and Computer Science Brno University of Technology Brno Czech Republic Electrical Engineering LUT University Lahti Finland

ISBN: (纸本)9798350370607

The improvement of efficiency is one of the main areas of research in electrical machines today. Three-phase induction machines are widely used in industry, motivating researchers to explore methods to increase their efficiency or replace them with more efficient alternatives. A line-start synchronous machine is a promising machine design for achieving high-efficiency classes even for low-power applications. The main contribution of this paper is to show the achievable performance of the LSPMSM by simply replacing the rotor of an induction machine. In this work, two different geometries suitable for low-power machines are optimized and studied in terms of electromagnetic parameters. Finally, the results of the start-up simulations for both machine designs are presented. The presented method shows that by replacing the induction machine rotor with a line-start permanent magnet rotor, it is possible to significantly enhance machine efficiency, even for low-power applications. © 2024 IEEE.

关键词： Permanent magnets

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