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19th Chinese Intelligent Systems Conference, CISC 2023

作者： Zhangjun, Sun Qiang, Tang Hao, Li AVIC Xi’an Flight Automatic Control Research Institute Xi’an710076 China National Key Laboratory of Science and Technology on Aircraft Control Xi’an710076 China School of Management Xi’an Jiaotong University Xi’an710049 China

ISBN: (纸本)9789819968817

Driven by new military requirements and technological innovation, modern warfare is developing towards system-of-systems combat based on distributed operations. Correspondingly, the traditional kill chains are extending to kill webs or effects webs. During this process, unmanned aircraft systems play a more and more important role, especially those networked, small, low-cost ones, and are collaborated and integrated as goal-driven systems in the new distributed combat style. In this paper, we firstly introduce the shift from kill chain to kill web, which has put forward new requirements for the applications of UAS. Then, typical UAS distributed dynamic cooperative combat styles are discussed. Under this background, several key issues of cooperative control and management for UAS that need to be addressed by future research activities are analyzed and summarized, related with cooperation architecture, communication, navigation, decision-making, planning, guidance, and control. Finally, a conclusion is briefly summarized with future development tendency and challenges. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Decision making

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Short-Term Prediction of Wind Farm Cluster Power Based on Load Risk Scenarios and Improved Weighted Loss During Peak and Valley Load Periods 7

Short-Term Prediction of Wind Farm Cluster Power Based on Lo...

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7th IEEE Conference on Energy Internet and Energy System integration, EI2 2023

作者： Yang, Mao Guo, Yunfeng Wang, Bo Wang, Zhao Ministry of Education Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin132012 China China Electric Power Research Institute National Key Laboratory of Renewable Energy Grid-Integration Beijing100192 China

ISBN: (纸本)9798350345094

Load peak and valley periods as the key scheduling scenarios, the effectiveness of wind power prediction becomes extremely important, in order to minimize the impact of wind power on the power system due to prediction errors, a short-term prediction method of wind farm cluster power considering risk scenarios and improved loss function is proposed. Firstly, the coupled correlation mechanism between meteorological type and load demand is explored, and the load risk scenario and meteorological correlation are derived. Second, according to the risk scenarios of load demand, the traditional loss function is improved and used to train the power prediction model under the risk scenarios. Then, a dynamic division strategy of wind farm clusters considering the meteorological similarity of the previous day is proposed to obtain the sub-clusters of similar output. Finally, the model with improved weighted loss function is used to predict the wind power for different regional sub-clusters and extended to wind farm clusters. The above method is validated using the wind farm clusters in West Inner Mongolia, China. and the results show that in the low-risk load scenario, the accuracy of the model with improved loss is higher, and the accuracy decreases with the increase of the load risk level, but the overall risk indexes are significantly lower than the method with traditional loss function, which proves the validity of the proposed method. © 2023 IEEE.

关键词： Risk assessment

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A Numerical Solution of a Hose-And-Drogue Aerial Refueling System: Multi-body Dynamic Model with Varying Constraints 5th

A Numerical Solution of a Hose-And-Drogue Aerial Refueling S...

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5th China Aviation Science and technology Conference, 2021

作者： Fan, Boqian Ji, Kang Wang, Jian Nanjing Engineering Institute of Aircraft Systems AVIC Nanjing211106 China Aviation Key Laboratory of Science and Technology On Aero Electromechanical System Integration Nanjing211106 China

ISBN: (纸本)9789811674228

Probe-and-drogue aerial refueling is a widely used military technique for transferring fuel between aircrafts. A dynamic model for the study of the hose-and-drogue system requires three essential elements, which are the dynamics of the bodies, the external loads and the constraints on the bodies. However, in the most advanced models, either the reel behavior is absent or the interactions between the reel and the hose are ignored. In this paper a model is presented that fully reflects the dynamic behaviors of the hose-drogue system in a multi-body dynamic approach. In the model, the hose is represented by a series of discrete links, while the reel and drogue are represented by mass points connected to the hose. The interaction between the reel and the discrete links of the hose are treated as variable constraints to accurately reflect the hose-drogue system before and during the hose-probe contact. A numerical method based on Newton-Raphson iteration is proposed to solve the multi-body dynamic system with variable constraints. A demonstrative simulation reveals the performance of the method. In the simulation result, the take-up behavior of the hose is observed, which validates the model. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Hose

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Research on the Recognition of aircraft Fuel Pump Parts Based on Deep Learning

Research on the Recognition of Aircraft Fuel Pump Parts Base...

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2022 CSAA/IET International Conference on aircraft Utility Systems, AUS 2022

作者： Cui, Zongtai Tian, Qilong Yang, Yang Yang, Chen Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration Nanjing211106 China Nanjing Engineering Institute of Aircraft Systems AVIC Nanjing211106 China

ISBN: (数字)9781839537769

ISBN: (纸本)9781839537769

As it enables production lines to identify parts independently in their tasks, the application of machine vision has become the trend of flexible manufacturing development. In recent years, deep learning has achieved great success in the field of machine vision. It can recognize patterns with higher accuracy and better generalization, and can satisfy the demands of flexible manufacturing in a better way. In this paper, aiming at the recognition in the assembly line of aircraft fuel pumps, a parts recognition method based on depth learning is studied, an algorithm model for parts recognition based on Inception-v3 is obtained by the application of transfer learning method. The results show that by this way the accuracy of parts recognition could be above 90%, which can meet the demand of recognition accuracy in actual equipment production. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Convolutional neural networks

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Research on the Effect of Visual Warming Information Presentation on Attention in Fighter Tracking Task

Research on the Effect of Visual Warming Information Present...

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2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023

作者： Zhu, Jingxin Qu, Mengyuan Tian, Jingze Wang, Yiyan Huang, Jianwei Yang, Wenjun Niu, Yafeng School of Mechanical Engineering Southeast University Nanjing China Xiamen Municipal Smart City Technology Co. Ltd. Xiamen China National Key Laboratory of Science and Technology on Aircraft Control Xi'an China

ISBN: (纸本)9798350323153

The influence of several visual warning presentation techniques on attention during the fighter tracking task is examined in this research. Concentrate on analyzing the visual channel information form used in alarm systems, as well as how tracking tasks and alert reaction tasks are conveyed by this information. To investigate the ideal visual angle of separation (VAS) and flashing frequency of the visual warning information of the fighter tracking task, the tracking inaccuracy of the tracking task, the reaction time and response accuracy of the warning response task, and the subjective workload of the participants were measured. The pilot performs well in all areas when there is a visual saccade warning signal with a VAS of 10°;for minor warning content, when the VAS is at 20° or 30°,the flashing frequency of 5Hz will not result in a significant load experience, and interference with the primary task can enhance the performance of warning and attention. © 2023 IEEE.

关键词： Attention resource theory Fighter tracking task Human-computer interaction

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Short-Term Multi-Energy Load Forecasting Based on Feature Reconstruction and TCN-Informer 7

Short-Term Multi-Energy Load Forecasting Based on Feature Re...

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7th IEEE Student Conference on Electric Machines and Systems, SCEMS 2024

作者： Wei, Mofan Shi, Jiaqi Zhang, Tieyan Zhao, Yan Jiang, He He, Yutong Shenyang University of Technology School of Electrical Engineering Shenyang China Key Laboratory of Regional Multi-energy System Integration and Control of Liaoning Province Shenyang China Huadian Electric Power Research Institute CO. LTD. Shenyang China

ISBN: (纸本)9798350366945

With the diversification of user energy and coordinated operation development of the integrated energy system, the coupling relationships between different energies becomes increasingly complex, which brings great challenges to short-term multi-energy load forecasting. Considering inadequate correlation analysis of influence factors and insufficient model learning ability to implicit coupling relationships, a short-term multi-energy load forecasting method is proposed based on feature reconstruction and TCN-informer. Firstly, the day-scale feature is screened and optimal feature sets are reconstructed via correlation analysis between load and influence factor time series in specific date. Secondly, combining TCN and informer network, the multi-energy load forecasting model is built via multi-task learning architecture. The input layer is composed of TCN, which can extract key information and temporal correlation of the input data. The shared layer is composed of Informer network, which can excavate inner relation between different loads effectively. Finally, simulation data sets generate from integrated energy system of the Tempe campus at Arizona State University. Prediction indicator comparison confirms effectiveness and superiority of feature reconstruction and TCN-informer multi-energy load forecasting model. © 2024 IEEE.

关键词： feature selection informer network multi-energy load forecasting temporal convolutional neural network

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System and method for detecting the timing of electromechanical control of the aircraft power supply system

System and method for detecting the timing of electromechani...

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2024 8th International Conference on Electrical, Mechanical and Computer Engineering (ICEMCE)

作者： Gang Yang Shanghai Aircraft Design and Research Institute Shanghai China State Key Laboratory of Airliner Integration Technology and Flight Simulation Shanghai China

ISBN: (数字)9798331506230

ISBN: (纸本)9798331506247

The electric power multiplexing path of aircraft power supply system is mainly realized by a large number of electromechanical/intelligent control units performing combined actions in accordance with the requirements of the power distribution logic. In order to demonstrate the compliance of the aircraft power supply system distribution logic design, the overall working timing of the electromechanical control units needs to be detected and verified during the ground development test phase. An electromechanical control timing detection system and method of the aircraft power supply system is designed and implemented, which has three levels, and the three levels are cited each other and realized hierarchically. The system has the ability to visually check the sketch page instructions, monitor the accuracy of the unit’s actions and its control timing, and detect the validity of its actions and power supply in case of a fault state. The system and method have the advantages of being based on a real power supply system under test, a comprehensive system architecture implementation, and a standardised and efficient detection process. The system and method can meet the needs of electromechanical control timing detection, and has been successfully applied to compliance verification test and airworthiness certification work for power supply system of a certain type of civil aircraft.

关键词： Power supplies Systems architecture Power distribution control systems Conformance testing Timing aircraft aircraft propulsion Certification Aerospace control

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Battery State of Health Estimation for Real-world Vehicles Based on Ensemble Learning

Battery State of Health Estimation for Real-world Vehicles B...

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IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

作者： Haoyu Wang Hongwen He Pei Wang Yiteng Geng Xuncheng Guo National Engineering Laboratory for Electric Vehicles National Key Laboratory of Advanced Vehicle Integration and Control Beijing Institute of Technology Beijing China

ISBN: (数字)9798350386127

ISBN: (纸本)9798350386134

Lithium-ion batteries (LIBs) are important energy storage components for new energy vehicles. Accurately estimating the State of Health (SOH) of LIBs ensures the safe and reliable operation of the power battery. Addressing the challenges of poor data quality, intricate sampling information, and incomplete battery cycles in real-world vehicle data, this paper proposes a pioneering SOH estimation method based on Light Gradient Boost Machine (LGBM) ensemble learning during charging process. A data preprocessing and operating condition reconstruction method is designed to streamline battery operating conditions and enhance overall data quality. The charging segments are extracted, and an aging features extraction method suitable for real-world vehicle data is proposed as well as high-value health indicators are selected using correlation analysis. The Bayesian optimization algorithm is employed to efficiently search for the optimal hyperparameters of the model, and comparisons and validations with other modeling algorithms and optimization methods and the estimation results on different vehicles are also carried out. The results show that LGBM method with Bayesian optimization algorithm achieves an overall superior estimation performance with the mean absolute percentage error limited within 2.71 % and exceptional computational efficiency.

关键词： Lithium-ion batteries Correlation Data integrity Data preprocessing Estimation Predictive models Feature extraction Bayes methods Ensemble learning Data mining

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Improved control Strategies for Totem-Pole PFC With True Full Range ZVS Operation

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IEEE Transactions on Industrial Electronics 2023年第3期70卷 2419-2430页

作者： Chen, Jie Tai, Weiyu Xun, Benxin Gong, Chunying Chen, Jiawei Nanjing University of Aeronautics and Astronautics Center for More-Electric-Aircraft Power System Ministry of Industry and Information Technology College of Automation Engineering Nanjing211106 China Chongqing University Key Laboratory of Complex System Safety and Control Ministry of Education College of Automation Chongqing400044 China

Zero voltage switching (ZVS) of power semiconductor devices is an effective way to improve the efficiency and power density of the power electronic converters with extremely high switching frequency. This article aims to analyze and realize the true full-range ZVS operation of a totem-pole power factor correction circuit. The available ZVS control strategies are investigated, and the conditions for the realization of full-range ZVS operation are analyzed. It is revealed that the existed control strategies did not consider the influence of the dead-time, resulting in the failure of ZVS operation in some input voltage ranges. To address this issue, two feasible retrofitted control strategies, namely the turn-off current optimization control and the adaptive dead-time control, are proposed. The merits and drawbacks of the two control strategies are carefully analyzed and compared. It is found that the adaptive dead-time control can not only achieve the true full range ZVS but also significantly reduce the loss of the freewheeling diodes. The design consideration of key parameters is discussed. Finally, the feasibility of the proposed control and the correctness of the theoretical analyses are verified by simulation and experiment. © 1982-2012 IEEE.

关键词： Zero voltage switching

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Broadband low-frequency sound absorption of multifunctional composite metastructure

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Science China(Technological Sciences) 2025年第2期68卷 114-124页

作者： Yilong YANG Shanshan LIU Yan LI Tong GAO Yongdong PAN Yong LI Yabin JIN School of Aerospace Engineering and Applied Mechanics Tongji UniversityShanghai 200092China State International Joint Research Center of Aerospace Design and Additive Manufacturing Northwestern Polytechnical UniversityXi’an 710072China Institute of Acoustics School of Physics Science and EngineeringTongji UniversityShanghai 200092China Shanghai Key Laboratory of Intelligent Sensing and Detection Technology School of Mechanical and Power EngineeringEast China University of Science and TechnologyShanghai 200237China Shanghai Institute of Aircraft Mechanics and Control Shanghai 200092China

In this study,we fabricated multifunctional metastructures from carbon fiber-reinforced plastic composites using additive manufacturing *** metastructures are characterized by their lightweight,load-bearing capacity,and broadband low-frequency sound absorption *** metastructure consists of 36 unit cells,and non-local coupling mechanism was considered for designing the sound absorption *** developed an acoustic impedance theory tailored for the metastructure,facilitating an analysis of thermal and viscous dissipation *** is proven theoretically and experimentally that the proposed composite metastructure can achieve a noise reduction with an average sound absorption coefficient greater than 0.9 across frequencies in the rage of 330-1500 *** also studied the metastructure’s quasi-static and cyclic compression performance,confirming its efficient absorption capabilities after cyclic *** proposed design and additive manufacturing method for composite metastructures provides a novel pathway for creating lightweight,multifunctional structures with diverse applications,such as aerospace engineering.

关键词： composite metastructure broadband sound absorption additive manufacturing

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