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Lyapunov-Function Based Control Technique for a Single-Phase Grid-Connected Five-Level Active Neutral Point Clamped Flying Capacitor Inverter with LCL Filter 17

Lyapunov-Function Based Control Technique for a Single-Phase...

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17th IEEE International Conference on Compatibility, Power Electronics and Power engineering, CPE-POWERENG 2023

作者： Fesli, Ugur Bayhan, Sertac Guler, Naki Komurcugil, Hasan Gazi University Technical Sciences Vocational School Electronic and Automation Department Ankara Turkey Hamad Bin Khalifa University Qatar Environment and Energy Research Institute Doha Qatar Technology Faculty Gazi University Department of Electrical-Electronic Engineering Ankara Turkey Eastern Mediterranean University Department of Computer Engineering Via Mersin 10 Famagusta Turkey

ISBN: (纸本)9798350300048

This paper presents Lyapunov-function based control technique for a grid-connected five-level active neutral point clamped flying capacitor (ANPC-FC) inverter with LCL filter. The control technique used in this study ensures global stability of the closed-loop system and almost zero steady-state error in the grid current. A proportional resonant (PR) controller is also employed in the control scheme to generate the required reference value for the inverter current. In addition, a simple phase shift pulse width modulation (PSPWM) technique is used for resolving voltage imbalances between dc-link capacitors and floating capacitors without the use of complicated circuitry or sensors. Simulation results validate the performance of the proposed system. Studies conducted at steady state and in dynamic mode demonstrate excellent results. © 2023 IEEE.

关键词： Lyapunov functions

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Hierarchical Efficiency Optimization Strategy Based on Wavelet and Fuzzy Control for Aircraft Hydrogen Fuel Cell Hybrid APU

Hierarchical Efficiency Optimization Strategy Based on Wavel...

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Power and electrical Technology Conference (APET), Asia

作者： Xiaoyin Lu Shiwei Ma Jianghua Xie School of Mechatronic Engineering and Automation Shanghai University Shanghai China Electrical Integration Department COMAC Shanghai Aircraft Design and Research Institute Shanghai China

ISBN: (数字)9798350367690

ISBN: (纸本)9798350367706

At present, the auxiliary power unit (APU) system of civil aircraft has the disadvantages of heavy, noisy and low efficiency, so a new form of power supply is needed to replace its fuel generator. Consequently, the structure of proton exchange membrane fuel cell (PEMFC) and lithium battery hybrid power supply system to replace the original fuel APU system is proposed. An appropriate energy management strategy (EMS) is the key to the practical application of this alternative scheme in the aerospace field. Therefore, combined with the power demand characteristics of civil aircraft APU, this paper proposes a hierarchical strategy which optimizes the power fluctuation and working efficiency of the fuel cell through the frequency separation layer based on wavelet, the fuel cell system efficiency optimization layer based on fuzzy control and the lithium battery SOC protection layer based on rule control, so as to improve prolong the fuel cell life and improve the system stability. Finally, this paper establishes the battery life evaluation index and the proposed control strategy is compared with wavelet-based energy management strategy without hierarchical control. The results show that the improved hierarchical control strategy can effectively reduce the power fluctuation of the fuel cell and improve the working efficiency of the fuel cell, and only increase little shutdown time of the fuel cell to optimize the life of the fuel cell.

关键词： Fuzzy control Fluctuations Hydrogen Fuel cells Lithium batteries Fuels Aircraft Energy management Optimization Aerospace control

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Aerial-ground collaborative routing with time constraints

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Chinese Journal of Aeronautics 2023年第2期36卷 270-283页

作者： Jiahao XING Lichen SU Wenjing HONG Lu TONG Renli LYU Wenbo DU School of Electronics and Information Engineering Beihang UniversityBeijing 100091China School of Future Aerospace Technology/Shen Yuan Honors College Beihang UniversityBejing 100091China School of Automation Science and Electrical Engineering Beihang UniversityBejing 100091China Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation Shenzhen 518055China Department of Computer Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Research Institute of Frontier Science Beihang UniversityBeijing 100083China CAAC Key Laboratory of General Aviation Operation Civil Aviation Management Institute of ChinaBeijing 100102China

The advancement of autonomous technology makes electric-powered drones an excellent choice for flexible logistics services at the last mile delivery *** reach a balance between green transportation and competitive edge,the collaborative routing of drones in the air and trucks on the ground is increasingly invested in the next generation of delivery,where it is particularly reasonable to consider customer time windows and time-dependent travel times as two typical time-related factors in daily *** this paper,we propose the Vehicle Routing Problem with Drones under Time constraints(VRPD-T)and focus on the time constraints involved in realistic scenarios during the delivery.A mixed-integer linear programming model has been developed to minimize the total delivery completion ***,to overcome the limitations of standard solvers in handling large-scale complex issues,a space-time hybrid heuristic-based algorithm has been developed to effectively identify a high-quality *** numerical results produced from randomly generated instances demonstrate the effectiveness of the proposed algorithm.

关键词： Aerial-ground collaborative delivery Mixed-integer programming Space-time hybrid heuristic algorithm Vehicle routing problem with drones Time-dependent travel times

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Current-limiting Characteristics of a Modified Flux-coupling Type Superconducting Fault Current Limiter and Its Effects on the Transient Stability of a Multi-machine Power System

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Chinese Journal of electrical engineering 2021年第2期7卷 93-102页

作者： Yonghui He Langheng Cao Feng Zheng Department of Automation Engineering Fujian Polytechnic of Information TechnologyFuzhou 350003China China Energy Construction Group Guangdong Electric Power Design and Research Institute Co. Ltd.Guangzhou 510663China School of Electrical Engineering and Automation Fuzhou UniversityFuzhou 350116China

A modified flux-coupling type superconducting fault current limiter(SFCL)is proposed here for suppressing fault *** modified SFCL consists of a coupling transformer,an yttrium barium copper oxide(YBCO)pancake coil,and a controlled *** flexibly adjusting the controlled switch’s contact states based on the system operational conditions,the coupling transformer’s primary inductance as well as the YBCO coil’s normal-state resistance are incorporated into the main system for current *** the modified SFCL has the advantages of resistive and inductive SFCLs,it may improve the power system’s transient ***,the SFCL’s effect on the transient stability of a multi-machine power system was also theoretically ***,simulations were conducted for accessing the SFCL’s performance characteristics under different fault *** results show that using the proposed SFCL can effectively restrain the increased fault current and improve the bus voltage sag;meanwhile,the imitated multi-machine system’s power-angle oscillation can be obviously reduced.

关键词： Current-limiting characteristics flux-coupling type SFCL multi-machine power system transient stability

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Monocular Depth Estimation: A Survey

Monocular Depth Estimation: A Survey

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Annual Conference of Industrial Electronics Society

作者： Dong Wang Zhong Liu Shuwei Shao Xingming Wu Weihai Chen Zhengguo Li School of Automation Science and Electrical Engineering Beihang University Beijing China SRO department Institute for Infocomm Research Singapore

Monocular depth estimation is an ill-posed task in computer vision, which holds great significance in the fields such as artificial intelligence, virtual reality, augmented reality, path planning, unmanned driving, and navigation guidance. The primary objective of monocular depth estimation is to predict the depth value of each pixel or infer depth information, given just a single red-green-blue (RGB) image as input. Traditional monocular depth estimation methods rely on limited depth cues, such as strict scene conditions. With the significant advancements in computer vision and artificial intelligence, monocular depth estimation using deep learning has been extensively researched and has yielded substantial results. This paper presents a comprehensive survey of monocular depth estimation. Firstly, we give an overall introduction to monocular depth estimation and explain it from traditional and deep learning-based methods, respectively. To specify, supervised, self-supervised and semi-supervised models are described in detail in deep learning-based methods. Additionally, we introduce publicly available benchmark datasets and evaluation metrics commonly used in this field. Finally, we discuss the current challenges and promising prospects for the development of monocular depth estimation.

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SkyvoltRobot: A Novel Rail-Mounted Charging Robot for Electric Vehicles

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Procedia Computer Science 2024年 250卷 274-281页

作者： Anjun Hu Shu Ban Yue Hong Ziqi Zhao Fucheng Zhao Jiankun Wang Max Q.-H. Meng Shenzhen Key Laboratory of Robotics Perception and Intelligence Shenzhen China Department of Electronic and Electrical Engineering Southern University of Science and Technology Shenzhen China Jiaxing Research Institute Southern University of Science and Technology Jiaxing China

SkyvoltRobot represents an innovative solution for electric vehicle (EV) charging services. This system achieves higher efficiency and broader coverage by transporting charging units with robots suspended on overhead tracks. The solution relies on the robots’ ability to grasp and transport charging units, utilizing a specially designed two-stage telescopic mechanism to complete the task accurately. Compared to existing fixed-point charging solutions, this system covers a much larger area with the same number of charging units. It significantly reduces economic costs for the same coverage area. A single robot can manage multiple charging units’ transportation, allowing for future multi-area track transfers. Notably, we have innovatively designed a SkyVoltRobot and experimentally demonstrated the effectiveness of this solution.

关键词： Rail-Mounted Robot Charging service Electric vehicle

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Multi-Objective Optimization for Customer Flexibility Management to Mitigate Consecutive Days of Power Supply Shortages

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IEEE Transactions on Power Systems 2025年

作者： Wang, Yunchu Lu, Feng Gu, Chenghong Yang, Li Lin, Zhenzhi Wu, Ming Yao, Liangzhong Zhejiang University College of Electrical Engineering Hangzhou310027 China University of Bath Department of Electrical and Electronic Engineering BathBA2 7AY United Kingdom China Electric Power Research Institute Beijing100192 China Wuhan University School of Electrical Engineering and Automation Wuhan430072 China

Extreme weather such as heatwaves increases the probability of power system supply shortages, thus necessitating enhanced customer flexibility in instances of limited generation-side resources. This paper proposes an optimization model for managing customer flexibility to tackle multiple consecutive days of power supply shortages. Firstly, it constructs a customer flexibility management framework, considering power supply shortages under extreme heatwave conditions. Then, a multi-objective optimization is built for the customer flexibility management center to minimize the customer flexibility management costs and impacts on industrial customers' production. In this model, the impact index and customer uncertainty updating methods are proposed for managing customer flexibility over consecutive days based on exponential smoothing and Bayesian inference methods. A combined Tchebycheff decomposition and the analytic hierarchy process (AHP)-entropy weight method is constructed to tackle the impact of subjective and objective factors on decision-making. Finally, industrial customers in a city of Zhejiang province, China are used for case studies and the result shows that the proposed model can help customer flexibility management centers reduce and delay the power supply shortages during consecutive days of heatwaves. © 1969-2012 IEEE.

关键词： Consecutive Days Customer Flexibility Multi-Objective Optimization Power Supply Shortages

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Implementing SLAM for Robot Navigation with Lidar in ROS Platform

Implementing SLAM for Robot Navigation with Lidar in ROS Pla...

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Emerging Frontiers in electrical and Electronic Technologies (ICEFEET), International Conference on

作者： Gaurav Kumar Verma Surya Narayan Swar Ranjit Ray Gagan Deep Meena Dept. of Electrical Engineering National Institute of Technology Patna India Underwater Robotics & Autonomous Group CSIR-Central Mechanical Engineering Research Institute Durgapur India Department of Computer Science & Engineering Gandhi Institute of Engineering and Technology University Gunupur India

ISBN: (数字)9798331528614

ISBN: (纸本)9798331528621

This research covers the implementation of SLAM (Simultaneous Localization and Mapping) with Ouster OS0 LiDAR (Light Detection and Ranging) sensor in the Robot Operating System (ROS1) Noetic. Using the high-frequency capabilities of the ouster, this method works towards mapping and localization in structured and unstructured environments. The paper explains the Ouster sensor integration in the ROS1 Noetic environment, providing information on the sensor calibration, data acquisition, and pre-processing. The ROS ecosystem in Ubuntu 20.04 is set to process the data streams coming from the ouster LiDAR sensor which is further utilised to create map and localize the robot. The Ouster LiDAR sensor scans every object in its field of view (in 3D), the data is then used for the SLAM. SLAM is executed using the Direct Lidar Odometry (DLO) algorithm for mapping and simultaneously helping the robot with localization and enabling it to navigate through the environment smoothly and precisely.

关键词： Location awareness Point cloud compression Laser radar Simultaneous localization and mapping Three-dimensional displays Navigation Throughput Robot localization Real-time systems Streams

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Additive engineering for Sb_(2)S_(3) indoor photovoltaics with efficiency exceeding 17%

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Light(Science & Applications) 2024年第12期13卷 3015-3029页

作者： Xiao Chen Xiaoxuan Shu Jiacheng Zhou Lei Wan Peng Xiao Yuchen Fu Junzhi Ye Yi-Teng Huang Bin Yan Dingjiang Xue Tao Chen Jiejie Chen Robert L.Z.Hoye Ru Zhou School of Electrical Engineering and Automation Hefei University of TechnologyHefei 230009PR China Department of Environmental Science and Engineering Key Laboratory of Urban Pollutant ConversionUniversity of Science and Technology of ChinaHefei 230009PR China Hefei National Research Center for Physical Sciences at the Microscale School of Chemistry and Materials ScienceUniversity of Science and Technology of ChinaHefei 230026PR China Department of Chemistry Inorganic Chemistry LaboratoryUniversity of OxfordSouth Parks RoadOxford OX13QRUK Beijing National Laboratory for Molecular Sciences CAS Key Laboratory of Molecular Nanostructure and NanotechnologyInstitute of ChemistryChinese Academy of SciencesBeijing 100190PR China

Indoor photovoltaics(IPVs)have attracted increasing attention for sustainably powering Internet of Things(IoT)***_(2)S_(3)is a promising IPV candidate material with a bandgap of~1.75 eV,which is near the optimal value for indoor energy ***,the performance of Sb_(2)S_(3)solar cells is limited by nonradiative recombination,which is dependent on the quality of the absorber *** engineering is an effective strategy to fine tune the properties of solution-processed *** work shows that the addition of monoethanolamine(MEA)into the precursor solution allows the nucleation and growth of Sb_(2)S_(3)films to be controlled,enabling the deposition of highquality Sb_(2)S_(3)absorbers with reduced grain boundary density,optimized band positions,and increased carrier *** with computations,it is revealed that the incorporation of MEA leads to a more efficient and energetically favorable deposition for enhanced heterogeneous nucleation on the substrate,which increases the grain size and accelerates the deposition rate of Sb_(2)S_(3)*** to suppressed carrier recombination and improved charge-carrier transport in Sb_(2)S_(3)absorber films,the MEA-modulated Sb_(2)S_(3)solar cell yields a power conversion efficiency(PCE)of 7.22%under AM1.5 G illumination,and an IPV PCE of 17.55%under 1000 lux white light emitting diode(WLED)illumination,which is the highest yet reported for Sb_(2)S_(3)***,we construct high performance large-area Sb_(2)S_(3)IPV minimodules to power IoT wireless sensors,and realize the long-term continuous recording of environmental parameters under WLED illumination in an *** work highlights the great prospect of Sb_(2)S_(3)photovoltaics for indoor energy harvesting.

关键词： absorber illumination Additive

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Machine learning-driven insights into phase prediction for high entropy alloys

Journal of Alloys and Metallurgical Systems

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Journal of Alloys and Metallurgical Systems 2024年 8卷

作者： Jain, Reliance Jain, Sandeep Dewangan, Sheetal Kumar Boriwal, Lokesh Kumar Samal, Sumanta Department of Robotics and Automation Prestige Institute of Engineering Management and Research Madhya Pradesh Indore452010 India Department of Advanced Materials Science and Engineering Sungkyunkwan University Suwon16419 Korea Republic of Department of Materials Science and Engineering Ajou University Suwon16499 Korea Republic of Department of Mechanical Engineering Prestige Institute of Engineering Management and Research Madhya Pradesh Indore452010 India Department of Metallurgical Engineering and Materials Science Indian Institute of Technology Indore Simrol Madhya Pradesh Indore453552 India

The unique properties of high-entropy alloys (HEAs) have attracted considerable attention, largely due to their dependence on the choice among three distinct phases: solid solution (SS), intermetallic compound (IM), or a blend of both (SS + IM). For this reason, precise phase prediction is key to identifying the optimal element combinations needed to develop HEAs with the required characteristics. Due to large compositional domain of HEAs is opportune to design new HEAs with desired output. A machine learning tool is exploited to discover and characterize high entropy alloys with satisfying targets. Herein, a method of designing substitutional high entropy alloys with optimization of input features and predict their phase formation, using different ML algorithms are proposed. The ML models such as multi layer precreptron MLP, Decision Tree (DT), Random Forest (RF), Gradient Boosting (GB), KNN, XGB nad SVM Classifier algorithm were used for the identifying the phase of HEAs. After assessing the accuracy and tuning of each model, an random forest classifier (accuracy = 0.914. precision = 0.916, ROC-AUC score = 0.97) model showed the best predictive capabilities for phase prediction. The new HEA was designed based on prediction and successfully validated with thermodynamic simulation. Data Availability: Data will be made available on request © 2024 The Authors

关键词： High-entropy alloys

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