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SSRN 2023年

作者： Hu, Huan Jia, Qiang Wang, Yishu Zhou, Bolong Zhang, Hongqiang Zhang, Mingan Ma, Limin Zou, Guisheng Guo, Fu Faculty of Materials and Manufacturing Beijing University of Technology Beijing100124 China School of Mechanical Engineering and Automation Beihang University Beijing100191 China Department of Mechanical Engineering State Key Laboratory of Tribology Tsinghua University Beijing100084 China School of Mechanical Electrical Engineering Beijing Information Science and Technology University Beijing100192 China

The Cu-Sn full intermetallic compound is a promising high-temperature electronic packaging material, while its preparation is usually time-consuming. In this work, a novel dual-beam laser co-deposition method was proposed to prepare Cu-Sn nanoparticle film for power electronic packaging with high bonding efficiency. Various Cu-Sn contents were prepared to reveal the bonding mechanism of the full intermetallic compound structure. The results show that joints with a Cu content ranging from 20 wt% to 80 wt% could form full intermetallic compounds within 2 min with the shear strength reaching 120 MPa. Specifically, Cu6Sn5, 'island-like' Cu3Sn, and sintered Cu generated successively in the bonding center with the increasing Cu content. All failures occurred within the bondline indicating a higher interface bonding quality, while the 'island-like' Cu3Sn enhanced the shear strength. This die attach process is compatible with current commercial SiC die attach process with lower material cost as well as high efficiency, enabling the Cu-Sn nanoparticle film to be a promising material for high-reliability power electronic packaging. © 2023, The Authors. All rights reserved.

关键词： Pulsed laser deposition

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Preparation of Ag-Cu Nanoparticle Film Using a Dual-Beam Pulsed Laser Deposition for Power Electronic Packaging

SSRN

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SSRN 2023年

作者： Zhou, Bolong Jia, Qiang Wang, Yishu Li, Dan Zhang, Hongqiang Hu, Huan Ma, Limin Zou, Guisheng Guo, Fu Faculty of Materials and Manufacturing Beijing University of Technology Beijing100124 China School of Mechanical Engineering and Automation Beihang University Beijing100191 China Department of Mechanical Engineering State Key Laboratory of Tribology Tsinghua University Beijing100084 China School of Mechanical Electrical Engineering Beijing Information Science and Technology University Beijing100192 China

Ag-Cu nanoparticle, integrating the advantages of Ag and Cu, is a promising material for power electronic packaging. In this work, a novel dual-beam pulsed laser deposition method was proposed to prepare Ag-Cu nanoparticle film with various component ratios, and used for die attach at low temperatures. The as-deposited Ag-Cu nanoparticle film was mainly composed of Ag-Cu solid solution, Ag element, and Cu element, and most of the nanoparticles were in alloying state. The Ag-Cu sintered joint presented a dense microstructure with 10.8 % porosity, and the shear strength of Ag-Cu sintered joints could reach 60 MPa at 250 ℃. The porosity of the Ag-Cu sintered joints increased as adding more Cu in the Ag-Cu nanoparticle film, resulting in a decrease in the interfacial connection ratio and the fracture mode of sintered joints gradually changed from the sintered layer to the mixed sintered layer and interface fracture. The dual-beam pulsed laser deposition method could guide in designing the component ratios of bimetallic nanoparticles. © 2023, The Authors. All rights reserved.

关键词： Sintering

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Frequency Measurement Research with Weight Averaging of Pulse Output Signal of Voltage-to-Frequency Converter

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SSRN 2022年

作者： Dorozhovets, Mykhaylo Pawlowski, Eligiusz Świsulski, Dariusz Department of Metrology and Diagnostic Systems Faculty of Electrical and Computer Engineering Rzeszow University of Technology ul. Wincentego Pola 2A Rzeszów35-959 Poland Department of Information and Measuring Technology National University Lviv Polytechnic Lviv Ukraine Faculty of Electrical Engineering and Computer Science Lublin University of Technology Lublin Poland Faculty of Electrical and Control Engineering Gdańsk University of Technology Gdańsk Poland

The paper presents investigation of the efficiency of weight averaging of a pulse frequency modulated signal. The sampling effects and the interference influence in the input signal of the voltage-to frequency converter on the result of output frequency weight averaging are analyzed. A general form of the averaging result dependence on the used weighting function, signal value, interference level and modulation parameters is derived. In the case of high interferences whose frequencies are unstable or may change over a wide range, the specified level of their suppression, together with the reduction of the sampling effect, can be achieved using weighting functions, such as trigonometric, with an appropriate level of side lobes. The interference suppression dependently on frequency ranges using selected weighing functions are tested using both the simulation and experimental methods. The obtained results show very good convergence with the values calculated from theoretical formulas. © 2022, The Authors. All rights reserved.

关键词： Weighing

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Computationally Expensive High-Dimensional Multiobjective Optimization via Surrogate-Assisted Reformulation and Decomposition

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IEEE Transactions on Evolutionary Computation 2024年 1-1页

作者： Pan, Linqiang Lin, Jianqing Wang, Handing He, Cheng Tan, Kay Chen Jin, Yaochu School of Artificial Intelligence and Automation Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China Huazhong University of Science and Technology Wuhan China School of Artificial Intelligence Xidian University Xi’an China School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China Department of Computing The Hong Kong Polytechnic University Hong Kong Hong Kong School of Engineering Trustworth and General Artificial Intelligence Laboratory Westlake University Hangzhou China

In recent decades, various surrogate-assisted evolutionary algorithms (SAEAs) have been proposed to solve computationally expensive multiobjective optimization problems (EMOPs). Nevertheless, designing an SAEA to handle high-dimensional EMOPs and balance convergence, diversity, and computational complexity remains challenging. Here, we propose a two-phase SAEA (TP-SAEA), which follows the idea of convergence first and diversity second, for solving high-dimensional EMOPs. In Phase I, a surrogate-assisted problem reformulation method is proposed to fast-track the Pareto optimal set in association with some reference solutions. Specifically, the high-dimensional EMOP is reformulated into an expensive single-objective one with low-dimensional decision space. Then, the surrogate-assisted optimization is utilized to obtain well-converged solutions. In Phase II, the high-dimensional EMOP is decomposed into two subproblems to explore subregions of the decision space that can effectively promote the diversity of the solutions. The two subproblems are optimized independently via surrogate-assisted optimization, aiming to push the population towards different regions of the Pareto optimal front. Experiments are conducted on EMOPs with 100 to 500 decision variables compared with four state-of-the-art SAEAs. The proposed TP-SAEA obtains well-converged and diverse solutions with only 509 real function evaluations. Moreover, its superiority is examined in six real-world instances with up to 12,000 decision variables. IEEE

关键词： Iron

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Research on Performance of RFID Tag Implanted in Electric Safety Tool

Research on Performance of RFID Tag Implanted in Electric Sa...

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Power and Energy (PandaFPE), Panda Forum on

作者： Zhengwei Chang Yuanshi Deng Jie Wu Mingju Chen Sayed Abulanwar Weihao Hu Qu Jia He Muxing State Grid Sichuan Electric Power Research Institute Chengdu China School of Automation and Information Engineering Sichuan University of Science & Engineering Yibin China Electrical Engineering Department Faculty of Engineeting Mansoura University Egypt School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Huaneng Xizang Yarlung Zangbo River Hydropower Development and Investment Co. LTD

The power intelligent tools have implemented wireless communication, positioning, perception, data interaction, and work ticket linkage by the implanted RFID tags. The communication performance of implanted tags can be affected by the material of the tool, resulting in performance degradation. In order to learn the degradation of RFID, this paper first analyzes the transmission characteristics and main performance indicators of RFID. Secondly, FEKO software is used to establish to simulate the performance of implanted RFID tag, and the influence of implantation depth and dielectric constant on the transmission performance of RFID tag is studied. Finally, RFID performance test platform is built to test reading distance of different dielectric constants and implantation depths, and the signal to noise ratio and the received signal strength indicator of different transmission distances are tested. Experimental results show that the implantation depth of RFID and the material dielectric constant affect the performance of RFID, and the transmission distance of RFID chips implanted in tools is reduced.

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Experimental Validation of Sensitivity-Aware Trajectory Planning for a Quadrotor UAV Under Parametric Uncertainty

Experimental Validation of Sensitivity-Aware Trajectory Plan...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Ali Srour Salvatore Marcellini Tommaso Belvedere Marco Cognetti Antonio Franchi Paolo Robuffo Giordano CNRS Univ Rennes Inria IRISA Rennes Cedex France Department of Electrical Engineering and Information Technology PRISMA Lab University of Naples Federico II Naples Italy Department of Computer Control and Management Engineering Sapienza University of Rome Rome Italy LAAS-CNRS Université de Toulouse CNRS UPS Toulouse France LAAS-CNRS Robotics and Mechatronics Department Electrical Engineering Mathematics Computer Science (EEMCS) Faculty University of Twente Enschede The Netherlands

ISBN: (数字)9798350357882

ISBN: (纸本)9798350357899

In this work, we provide an experimental vali-dation of the recent concepts of closed-loop state and input sensitivity in the context of robust flight control for a quadrotor (UAV) equipped with the popular PX4 1 1 https://***/ controller. Our objective is to experimentally assess how the optimization of the reference trajectory w.r.t. these sensitivity metrics can improve the closed-loop system performance against model uncertainties commonly affecting the quadrotor systems. To accomplish this, we present a series of experiments designed to validate our optimization approach on two distinct trajectories, with the primary aim of assessing its precision in guiding the quadrotor through the center of a window at relatively high speeds. This approach provides some interesting insights for increasing the closed-loop robustness of the robot state and inputs against physical parametric uncertainties that may degrade the system's performance.

关键词： Uncertainty Sensitivity Target tracking Trajectory planning Perturbation methods Autonomous aerial vehicles Robustness

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Smart agriculture technology: An integrated framework of renewable energy resources, IoT-based energy management, and precision robotics

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Cleaner Energy Systems 2024年 9卷

作者： Rehman, Anis Ur Alamoudi, Yasser Khalid, Haris M. Morchid, Abdennabi Muyeen, S.M. Abdelaziz, Almoataz Y. Department of Electrical Engineering University of Azad Jammu and Kashmir AJK Muzaffarabad 13100 Pakistan Department of Electrical and Electronics Engineering Higher Colleges of Technology Sharjah 7947 United Arab Emirates College of Engineering and Information Technology University of Dubai Dubai Academic City 14143 United Arab Emirates Department of Electrical and Electronic Engineering Science University of Johannesburg Aukland Park 2006 South Africa Department of Physics Laboratory of Informatics Signals Automation and Cognitivism (LISAC) Faculty of Sciences Dhar El Mahraz Sidi Mohamed Ben Abdellah University BP 1796 Fez Fes-Atlas 30003 Morocco Department of Electrical Engineering Qatar University Doha 2713 Qatar Faculty of Engineering and Technology Future University in Egypt Cairo 11835 Egypt Faculty of Engineering Ain Shams University Cairo 11517 Egypt

Modern agricultural practices encounter challenges related to operational efficiency and environmental effects. This prompts a demand for innovative solutions to foster sustainability in farming while emphasizing the limitations of conventional farming methods. To address these challenges in modern agriculture systems, this research proposes a comprehensive framework for smart farming. The proposed framework comprises of three technology integrations: 1) an efficient integration of renewable energy resources (RERs) with solar panels and battery energy storage systems (BESS), 2) an IoT-based environmental monitoring for precision irrigation, and 3) an android application-controlled precision robotic system for targeted chemical application. The proposed framework investigates a case study on Sharjah, United Arab Emirates (UAE) to explore and analyze optimal scenarios of multiple energy resources. Results demonstrate successful cross-prototype integration through the Blynk IoT platform providing users with a unified interface. Furthermore, the results provide a comprehensive analysis and investigation into the interactions between RERs and the grid across various combinations. The findings indicate the potential of this framework to revolutionize agriculture and thus offer a sustainable, efficient, and technologically advanced approach. It also represents the contribution of a complete solution to modern agricultural challenges presenting tangible results for a promising future in smart and sustainable farming practices. © 2024

关键词： Agricultural innovation Android application-controlled robotic system Battery energy storage systems Environmental effects Integration of IoT platform Precision irrigation Renewable energy resources

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A Novel Visual Perception Framework for Unmanned Aerial Vehicles: Challenges and Approaches

A Novel Visual Perception Framework for Unmanned Aerial Vehi...

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2021 China automation Congress, CAC 2021

作者： Li, Xuan Duan, Haibin Mo, Hong Wang, Fei-Yue Department of Mathematics and Theories Peng Cheng Laboratory Shenzhen518055 China The State Key Laboratory of Virtual Reality Technology and Systems School of Automation Science and Electrical Engineering Beihang University Beijing100083 China The School of Electrical and Information Engineering Changsha University of Science and Technology Changsha410114 China The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China

ISBN: (纸本)9781665426473

Change detection (CD) is an important preprocessing process in visual perception. Due to the difficulties of collection and labeling images in water scnens, the design and validation of the change detection algorithm is more difficult than expected. In this paper, we present a novel visual perception framework based on parallel vision for unmanned aerial vehicle (UAV). The visual perception framework consists of artificial scenes, computational experiments and parallel execution. In artificial scenes, we construct a water scene and automatically generated pixel-level image annotation. Next, computational experiments are carried out on different domain dataset. The experiment results show that: 1) mixed images effectively improve the performance of change detection model;2) domain shift problems still greatly affect the algorithm performance. © 2021 IEEE

关键词： Change detection

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Unsignalized Intersection Management Strategy for Mixed Autonomy Traffic Streams

arXiv

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arXiv 2022年

作者： Zhou, Junjie Shen, Zhaokun Wang, Xiaofan Wang, Lin The Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China The Department of Automation Shanghai Jiao Tong University The School of Mechatronic Engineering and Automation Shanghai University The School of Electrical and Electronic Engineering Shanghai Institute of Technology Shanghai201418 China

With the rapid development of connected and automated vehicles (CAVs) and intelligent transportation infrastructure, CAVs, connected human-driven vehicles (CHVs), and un-connected human-driven vehicles (HVs) will coexist on the roads in the future for a long time. This paper comprehensively considers the different traffic characteristics of CHVs, CAVs, and HVs, and systemically investigates the unsignalized intersection management strategy from the upper decision-making level to the lower execution level. The unsignalized intersection management strategy consists of two parts: the heuristic priority queues based right of way allocation (HPQ) algorithm and the vehicle planning and control algorithm. In the HPQ algorithm, a vehicle priority management model considering the difference between CAVs, CHVs, and HVs, is built to design the right of way management for different types of vehicles. In the lower level for vehicle planning and control algorithm, different control modes of CAVs are designed according to the upper-level decision made by the HPQ algorithm. Moreover, the vehicle control execution is realized by the model predictive controller combined with the geographical environment constraints and the unsignalized intersection management strategy. The proposed strategy is evaluated by simulations, which show that the proposed intersection management strategy can effectively reduce travel time and improve traffic efficiency. Results show that the proposed method can decrease the average travel time by 5% to 65% for different traffic flows compared with the comparative methods. The intersection management strategy captures the real-world balance between efficiency and safety for future intelligent traffic systems. Copyright © 2022, The Authors. All rights reserved.

关键词： Travel time

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Experimental validation of a novel hybrid Equilibrium Slime Mould Optimization for solar photovoltaic system

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Heliyon 2024年第20期10卷 e38943页

作者： Zabia, Djallal Eddine Afghoul, Hamza Kraa, Okba Himeur, Yassine Ramadan, Haitham S. Genc, Istemihan Idriss, Abdoulkader I. Miniaoui, Sami Atalla, Shadi Mansoor, Wathiq Laboratory of Identification Command Control and Communication (LI3CUB) University of Biskra Algeria LAS Laboratory Faculty of Technology Ferhat Abbas Setif-1 University Algeria Laboratory of Energy System Modeling Electrical Engineering (LMSE) Algeria College of Engineering and Information Technology University of Dubai Dubai United Arab Emirates Electrical Power and Machines Department Faculty of Engineering Zagazig University Egypt ISTHY Institut International sur le Stockage de l'Hydrogene Meroux-Moval 90400 France Department of Electrical Engineering Istanbul Technical University Istanbul 34469 Turkey Electrical and Energy Department Faculty of Engineering University of Djibouti Street Djanaleh 1904 Djibouti

Maximizing Power Point Tracking (MPPT) is an essential technique in photovoltaic (PV) systems that guarantees the highest potential conversion of sunlight energy under any irradiance changes. Efficient and reliable MPPT technique is a challenge faced by researchers due to factors such as fluctuations in irradiance and the presence of partial shading. This paper introduced a novel hybrid Equilibrium Slime Mould Optimization (ESMO) MPPT-based algorithm combining the advantages of two recent algorithms, Slime Mould Optimization (SMO) and Equilibrium Optimizer (EO). The ESMO algorithm is compared with highly efficient MPPT-based techniques such as SMO, EO, Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), and Whale Optimization Algorithm (WOA), both under a Simulink environment and a real-time experimental laboratory setup using a Dspace1104 controller and PV emulator. The comparison focuses on performance under several irradiance cases, including instant irradiance change, partial shading, complex partial shading, and dynamic partial shading. The key advantage of ESMO is the fact that it has a single tunable parameter, which makes implementation much easier and, at the same time, reduces the computational resources that are required by the control system. Extensive testing proves the superiority of ESMO over all other techniques, the average efficiency of which is 99.98% under all conditions. Additionally, ESMO provides fast average tracking times of 244 ms under simulation experiments and 200 ms for real-time experiments. These results show that ESMO can be very important for future implementation in large-scale solar PV systems. © 2024

关键词： Complex partial shading condition Equilibrium Slime Mould optimization algorithm Maximum power point tracking Photovoltaic system Renewable energy

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