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AIAA science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Ge, Hang Xu, Yixiang Sun, Donglei Chen, Xinmin Chen, Boyang School of Aerospace Faculty of Science and Engineering University of Nottingham Ningbo China Zhejiang Ningbo315100 China Department of Mechanical Materials and Manufacturing Engineering UNNC-NFTZ Blockchain Laboratory University of Nottingham Ningbo China Zhejiang Ningbo315100 China Advanced Intelligent Manufacturing Research Group Control System Lab University of Nottingham Ningbo China Zhejiang Ningbo315100 China Zhejiang Provincial Engineering Research Center of Special Aircraft Ningbo Institute of Materials Technology & Engineering Chinese Academy of Sciences Zhejiang Ningbo315100 China

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

In this research, a high-altitude, compact and rapidly deployable, air-launched, inflatablewinged aircraft is designed, developed, and flight-tested to investigate the flight characteristics of inflatable-winged aircraft as well as the in-flight inflation and dynamic deployment properties when launched from various carriers. To start with, two types of inflatable wings employing different materials have been designed, fabricated, and tested, the tests including structural characteristics tests, inflation properties tests, and low-Reynolds-number wind-tunnel tests. A full-scale 30-kilogram prototype unmanned aerial vehicle with inflatable wings was then designed, assembled and tested with some basic low-altitude flights to verify the feasibility of the aerodynamic layout and the trim and stability and control characteristics. Finally, low- and high-altitude in-flight launches will be conducted to study the dynamic deployment properties and high-altitude flight characteristics of this design. © 2025, American institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Wind tunnels

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A Provably Stable SBP-SAT FDTD Subgridding Method without Modifying Yee's Grids

A Provably Stable SBP-SAT FDTD Subgridding Method without Mo...

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Antennas and Propagation Society International Symposium

作者： Yuhui Wang Guijie Diao Hong Ni Shunchuan Yang Research Institute for Frontier Science Beihang University Beijing China Beijing Electro-mechanical Engineering Institute Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory China

A stable finite-difference time-domain (FDTD) sub-grid ding method using the summation-by-parts simultaneous approximation term (SBP-SAT) technique is proposed. To meet the SBP properties and keep Yee's grids unchanged, the projection operators are carefully designed to extrapolate fields on the boundaries. Then, the SATs are used to weakly enforce the boundary conditions between multiple mesh blocks with different mesh sizes. Therefore, its long-term stability is theoretically guaranteed. An iris filter is simulated to validate the effectiveness of the proposed method. Results show that the proposed SBP-SAT FDTD subgridding method is stable, accurate and efficient.

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A dual-mode navigation algorithm based on Infrared and SAR information fusion

A dual-mode navigation algorithm based on Infrared and SAR i...

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2021 CIE International Conference on Radar, Radar 2021

作者： Yang, Yanjiao Qu, Guangzhou Li, Bo Ma, Meng Liu, Shuaishuai Chi, Qingxi Beijing Electro-Mechanical Engineering Institute Beijing China Beijing Electro-Mechanical Engineering Institute Science and Technology on Complex System Control and Intelligent Agent Coopration Laboratory Beijing China

ISBN: (纸本)9781665498142

Focused on revising the cumulative error of the SINS, a dual-mode navigation algorithm based on the infrared and SAR information fusion is studied in this paper. The SAR system can provide the SAR image and the information including the distance and the beam direction of the SAR antenna, the infrared system can provide the infrared image and the optical axis direction of the infrared lens. Under the premise of the same direction of the SAR and infrared beam, a navigation algorithm by associating the matching results of the SAR image and infrared image with the digital map is studied, which can be applied to amend the aberration of the SINS in the middle phase. At the same time, the common aperture characteristic and GPS error isolation method are used to isolate the error sub area. The simulation results reveal the validity of the algorithm. © 2021 IEEE.

关键词： fusion infrared information navigation SAR information

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Switching control of morphing aircraft based on Q-learning

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Chinese Journal of Aeronautics 2020年第2期33卷 672-687页

作者： Ligang GONG Qing WANG Changhua HU Chen LIU School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100083China Science and Technology on Space Intelligent Control Laboratory Beijing Institute of Control EngineeringBeijing 100190China Xi’an Institute of High Technology Xi’an 710025China School of Aeronautic Science and Engineering Beihang UniversityBeijing 100083China Beijing Institute of Electric System Engineering Beijing 100854China

This paper investigates a switching control strategy for the altitude motion of a morphing aircraft with variable sweep wings based on *** morphing process is regarded as a function of the system states and a related altitude motion model is ***,the designed controller is divided into the outer part and inner part,where the outer part is devised by a combination of the back-stepping method and command filter technique so that the’explosion of complexity’problem is ***,the integrator structure of the altitude motion model is exploited to simplify the back-stepping design,and disturbance observers inspired from the idea of extended state observer are devised to obtain estimations of the system *** control input switches from the outer part to the inner part when the altitude tracking error converges to a small value and linear approximation of the altitude motion model is *** inner part is generated by the Q-learning algorithm which learns the optimal command in the presence of unknown system matrices and *** is proved rigorously that all signals of the closed-loop system stay bounded by the developed control method and controller switching occurs only ***,comparative simulations are conducted to validate improved control performance of the proposed scheme.

关键词： Back-stepping Command filter Disturbance observer Morphing aircraft Q-learning Switching control

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A Stable and Symmetric FDTD Subgridding Method with Arbitrary Grid Ratio

A Stable and Symmetric FDTD Subgridding Method with Arbitrar...

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Antennas and Propagation Society International Symposium

作者： Langran Deng Ningbo Gong Guijie Diao Shunchuan Yang Research Institute for Frontier Science Beihang University Beijing China Beijing Electro-mechanical Engineering Institute Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory China

A stable and symmetric finite-difference time-domain (FDTD) subgridding method is proposed to effectively and accurately solve the three-dimensional electromagnetic prob-lems. The linear interpolation coefficient (LIC) and the length cutoff coefficient (LCC) are carefully designed to guarantee the stability of the proposed method. In addition, the proposed method is applicable to arbitrary grid ratios and nested meshes. A practical multiscale example is used to validate its accuracy and efficiency.

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Real-Time Vehicle Detection Method Based on Aerial Image in Complex Background 10th

Real-Time Vehicle Detection Method Based on Aerial Image in ...

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10th China Conference on Command and control, C2 2022

作者： Wu, Chen Liang, Ruofei He, Shuangcheng Wang, Hongshuo Institute of Spacecraft System Engineering China Academy of Space Technology Beijing China Beijing Science and Technology Leike Electronic Information Technology Co. Ltd. Beijing China Beijing Institute of Technology Beijing China Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (纸本)9789811960512

In the field of military and security, the vehicle target has high capture value because of its high mobility, large load and high threat. In recent years, with the development of UAV technology and the improvement performance, as well as the rapid development and wide application of deep convolutional neural network in the field of object detection, vehicle detection based on UAV has become an important task, which has application value and practical significance that cannot be ignored. Compared with the traditional ground monitoring system, the UAV has high mobility, the background of the aerial image is more complex, and the target scales vary widely. Therefore, based on deep convolutional neural network, this paper proposes a feature fusion method combining context, which enhances the feature extraction ability of small targets in complex background. Then, a multi-scale region proposal matching method based on location clustering is proposed to enhance the matching degree between target features and region proposal. Finally, this paper designs a lightweight backbone based on DenseNet [1], which effectively reduces the computational cost. Experimental results show that our model reached the accuracy of 86.7% on PASCAL VOC (only car and bus are selected) dataset, which has a 3.1% bonus compared with the baseline SSD [2]. Moreover, in order to show the effect on aerial images, an additional experiment is conducted on the UAV123 dataset, which gets a 5.7% bonus. The speed of our model has a 180 fps on the NVIDIA RTX 2080. © 2022, Chinese institute of Command and control.

关键词： Unmanned aerial vehicles (UAV)

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Dynamic Route Optimization for Multi-Vehicle systems with Diverse Needs in Road Networks Based on Preference Games

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Computers, Materials and Continua 2025年第3期83卷 4167-4192页

作者： Wang, Jixiang Wei, Jing Chen, Siqi Yu, Haiyang Ren, Yilong School of Transportation Science and Engineering Beihang University Beijing100191 China School of Electrical and Control Engineering North China University of Technology Beijing100144 China Hangzhou Innovation Institute Beihang University Hangzhou310023 China The State Key Lab of Intelligent Transportation System Beijing100191 China

The real-time path optimization for heterogeneous vehicle fleets in large-scale road networks presents significant challenges due to conflicting traffic demands and imbalanced resource allocation. While existing vehicle-to-infrastructure coordination frameworks partially address congestion mitigation, they often neglect priority-aware optimization and exhibit algorithmic bias toward dominant vehicle classes—critical limitations in mixed-priority scenarios involving emergency vehicles. To bridge this gap, this study proposes a preference game-theoretic coordination framework with adaptive strategy transfer protocol, explicitly balancing system-wide efficiency (measured by network throughput) with priority vehicle rights protection (quantified via time-sensitive utility functions). The approach innovatively combines (1) a multi-vehicle dynamic routing model with quantifiable preference weights, and (2) a distributed Nash equilibrium solver updated using replicator sub-dynamic models. The framework was evaluated on an urban road network containing 25 intersections with mixed priority ratios (10%–30% of vehicles with priority access demand), and the framework showed consistent benefits on four benchmarks (Social routing algorithm, Shortest path algorithm, The comprehensive path optimisation model, The emergency vehicle timing collaborative evolution path optimization method) showed consistent benefits. Results show that across different traffic demand configurations, the proposed method reduces the average vehicle traveling time by at least 365 s, increases the road network throughput by 48.61%, and effectively balances the road loads. This approach successfully meets the diverse traffic demands of various vehicle types while optimizing road resource allocations. The proposed coordination paradigm advances theoretical foundations for fairness-aware traffic optimization while offering implementable strategies for next-generation cooperative vehicle-road systems, particul

关键词： Travel time

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Scalable parallel ultrafast optical random bit generation based on a single chaotic microcomb

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Light(science & Applications) 2024年第4期13卷 637-644页

作者： Pu Li Qizhi Li Wenye Tang Weiqiang Wang Wenfu Zhang Brent ELittle Sai Tek Chu KAlan Shore Yuwen Qin Yuncai Wang Institute of Advanced Photonics Technology School of Information EngineeringGuangdong University of TechnologyGuangzhou 51006China. Key Laboratory of Photonic Technology for Integrated Sensing and Communication Ministry of Education of ChinaGuangdong University of TechnologyGuangzhou 51006China. Guangdong Provincial Key Laboratory of Information Photonics Technology Guangdong University of TechnologyGuangzhou 51006China. Key Laboratory of Advanced Transducers andIntelligent Control System Ministry of EducationTaiyuan University of TechnologyTaiyuan 030024China. State Key Laboratory of Transient Optics and Photonics Xi’an Institute of Optics and Precision MechanicsChinese Academy of SciencesXi’an 710119China. Department of Physics and Materials Science City University of Hong KongHong KongChina. School of Electronic Engineering Bangor UniversityBangorWales LL571UTUK

Random bit generators are critical for information security,cryptography,stochastic modeling,and *** and scalability are key challenges faced by current physical random bit ***,we propose a massively parallel scheme for ultrafast random bit generation towards rates of order 100 terabit per second based on a single micro-ring resonator.A modulation-instability-driven chaotic comb in a micro-ring resonator enables the simultaneous generation of hundreds of independent and unbiased random bit streams.A proof-of-concept experiment demonstrates that using our method,random bit streams beyond 2 terabit per second can be successfully generated with only 7 comb *** bit rate can be easily enhanced by further increasing the number of comb lines *** approach provides a chip-scale solution to random bit generation for secure communication and high-performance computation,and offers superhigh speed and large scalability.

关键词： resonator random chaotic

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Distributed Formation Tracking control and Collision Avoidance with Formation Transformation for Fixed-Wing UAV Swarm

Distributed Formation Tracking Control and Collision Avoidan...

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第43届中国控制会议

作者： Bingchang Yao Yishi Liu Yumeng Liu Xiwang Dong Qingke Tan Rui Lv Zhuo Liang School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control LaboratoryBeihang University Beihang University Institute of Software Chinese Academy of Sciences Institute of Artificial Intelligence Beihang University Institute of Unmanned System Beihang University China Academy of Launch Vehicle Technology

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

This article proposes a distributed consensus-based formation tracking and dynamic obstacle avoidance method for fixed wing unmanned aerial vehicles(UAVs).The tracking target moves along a pre-set geometric path,while other UAVs automatically track the target to form various distributed formation shapes and always perform dynamic collision *** fixed wing UAVs in this article form a distributed formation based on information exchange between neighbors,and further the formation process is improved by incorporating position allocation into the formation ***,the fixed wing UAV is modeled and ***,a basic formation control protocol is designed based on consensus strategy,and a tracking target feedback is added on ***,an anti-collision controller and a variable formation position allocation strategy are designed to avoid the ***,the effectiveness of the presented method is verified through numerical simulations.

关键词： Fixed-wing UAVs Distributed Formation controller Collision Avoidance Formation Transformation

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Phase Unwrapping Based on CFAR Detection for Multi-baseline InISAR

Phase Unwrapping Based on CFAR Detection for Multi-baseline ...

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2021 CIE International Conference on Radar, Radar 2021

作者： Ma, Meng Qu, Guangzhou Liu, Shuaishuai Yang, Yanjiao Pei, Hucheng Chi, Qingxi Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China Beijing Electro-Mechanical Engineering Institute Beijing China

ISBN: (纸本)9781665498142

A phase unwrapping method based on constant false alarm rate (CF AR) detection is proposed for multi-baseline interferometric inverse synthetic aperture radar (InISAR). Aiming at the problem of ambiguity number estimation error under the condition of phase noise, Chinese remainder theorem (CRT) and cluster analysis are utilized to acquire the probability distribution of phase noise. By introducing CFAR detection, the novel method reduced the error probability of ambiguity number estimation. Through simulation, it is verified that the novel method can effectively suppress phase noise and obtain accurate phase unwrapping results. © 2021 IEEE.

关键词： CFAR multi-baseline InISAR interferometric phase phase noise phase unwrapping

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