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Review of Maneuvering Strategies in the Level Flight Section of UAV 1

7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Sun, Wendi Hao, Mingrui Science and Technology on Complex System Control and Intelligent Agent Cooperative Laboratory Beijing100074 China

ISBN: (数字)9789819733408

ISBN: (纸本)9789819733392

In view of the threat of the anti-missile defense system, this paper summarized the maneuver penetration strategies of the UAV in the level flight phase, in consideration of the flight ability and technological development of the aircraft. The basic ideas, advantages and disadvantages of each penetration strategy, the future development trend of mobile penetration technology and new research ideas are discussed in this paper. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Reinforcement learning

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Cluster Collaborative Search Method Based on Dynamic Adjustment of Parameters 1

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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Si, JiaShuai Hao, MingRui Liu, ZhenChang Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (数字)9789819733361

ISBN: (纸本)9789819733354

In order to improve the ability of unmanned aerial vehicle(UAV) cluster collaborative search and obstacle avoidance, a multi-UAV collaborative search method based on dynamic parameter adjustment is proposed. Firstly, based on the distributed model predictive control (DMPC) model, a collaborative search problem model is designed considering the rapidity of target discovery, the rapidity of covering the task area and the obstacle avoidance between drones. Secondly, the jump grid decision method not only expands the feasible solution of the search decision, but also ensures that the UAV can track the navigation point of the decision smoothly. At last, a dynamic adjustment method of search parameters is proposed, which realizes threat avoidance in collaborative search process by adjusting search parameters online. The simulation results show that the cluster cooperative search method based on dynamic parameter adjustment can fully consider the maneuverability of UAVs and realize threat avoidance during cooperative search, and improve the robustness of the algorithm after some nodes are damaged. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Maneuverability

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A Survey of Cooperative Path Planning for Multiple UAVs

A Survey of Cooperative Path Planning for Multiple UAVs

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International Conference on Autonomous Unmanned systems, ICAUS 2021

作者： Sun, Wendi Hao, Mingrui Science and Technology on Complex System Control and Intelligent Agent Cooperative Laboratory Beijing100074 China

ISBN: (纸本)9789811694912

Cooperative mission for Multi UAVs has become an important trend. Cooperative path planning is one of the most killing part for the issue. The algorithms can be divided into the following categories, including optimal algorithm, graph-theory-based planning method, heuristic-information-based planning algorithm, swarm intelligence algorithm and neural network algorithm and so on. This paper systematically presents the research status and trend of the application of path planning in the field of multi-UAV cooperative mission and selects a variety of classic and up-to-date algorithms and their variants to promote future research. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Heuristic algorithms

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Research Status and Application of Mission Assignment Method and Cooperative Positioning and Navigation for Cluster Aircraft

Research Status and Application of Mission Assignment Method...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Danting, Sheng Mingrui, Hao Science and Technology On Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9789811966125

In order to solve the problem of multi-aircraft cluster cooperative combat, this paper tries to classify and sum up the existing achievements on task assignment method and cooperative positioning and navigation. Among the distributed methods of task allocation, the contract net-based method of task allocation and the distributed method of simulating the complex and orderly collective behavior of social creatures are briefly described. According to the method of cooperative positioning of swarm aircraft, it is divided into measuring the relative distance of aircraft, measuring the relative angle of aircraft and layered cooperative navigation system. Combining with the classical research and application, this paper analyzes and summarizes the existing task allocation methods and the achievements of cooperative positioning and navigation, and forecasts the future engineering application in this field. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Aircraft

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Collaborative Search Method of Heterogeneous UAVs in Gray Area 1

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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Wang, Hongmin Bu, Yunong Zhao, Jiajia Hao, Mingrui Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (数字)9789819733323

ISBN: (纸本)9789819733316

A collaborative search planning method based on an information map is proposed for the problem of multi-moving target detection in gray areas using a heterogeneous UAV swarm. This method takes into account the detection probability and false alarm probability of sensors, the heterogeneity and flight constraints of UAVs, and the random movement of targets. The mathematical planning model for the collaborative search of multiple UAVs is built by balancing short-term gain, long-term gain, and coordination gain. An information map for search is designed, incorporating target existence probability, environmental uncertainty, and revisiting pheromones. Different planning schemes are designed based on the heterogeneous characteristics of UAVs. Through numerical simulations in typical collaborative search scenarios, the effectiveness of the proposed method is validated. The simulation results show that the proposed method can make search trajectory decisions for each UAV within seconds. The organic combination of short-term, long-term, and coordination gain can guide the UAV swarm to capture more targets. Comparative simulation results demonstrate that the proposed method can capture more targets with fewer false alarms, effectively improving the task efficiency of heterogeneous multi-UAV collaborative search. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Unmanned aerial vehicles (UAV)

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Common Aircraft Formation control Methods and Application Prospects of High Order Fully Actuated system Theory in Aircraft Formation control 7th

Common Aircraft Formation Control Methods and Application Pr...

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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Liu, Xinyu Hao, Mingrui Fan, Yu Zhen, Yan Yue, Keyuan Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9789819733279

This article provides a review of formation control for multiple aircrafts. Firstly, several commonly used aircraft formation control methods were introduced, including leader-follower approach, behavior based formation control, virtual structure method, and artificial potential field method. Considering that the controller design of these methods is mostly based on first-order differential equations and state space methods or uses fuzzy theory or neural networks, further solutions are needed in issues such as model accuracy, controller anti-interference, and controller stability analysis. Therefore, this article proposes the possibility of applying high-order fully actuated (HOFA) system theory in aircraft formation control. In response to the nonlinear, coupled, and real-time aircraft formation control problems, the development of HOFA system theory is introduced, and it is pointed out that fully actuated system (FAS) method has outstanding advantages in dealing with nonlinear, time-varying, hysteresis problems. The article summarizes the current research and practice of FAS theory in the field of single aircraft control and multi-spacecraft formation control, and then propose a new idea of designing FAS formation control method for multiple aircrafts. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Aircraft

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Multi-scale Visual Feature Association Based Long-Term UAV Positioning Algorithm 1

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3rd International Conference on Autonomous Unmanned systems, ICAUS 2023

作者： Xiaozu, Li Jiajia, Zhao Science and Technology On Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (数字)9789819710874

ISBN: (纸本)9789819710867

In order to solve the long-term drift of positioning in UAVs, we propose a multi-scale visual feature association algorithm, and applied in SLAM systems. Through the upward fusion mechanism, we fuse the image features extracted by the 30-degree angle for FOV and 120-degree angle for FOV, making full use of the ability to perceive global features in the wide FOV and the ability to perceive environmental details in the small FOV. Combined with IMU Sensors, we effectively suppress the positioning drift and improve the accuracy of the SLAM system. Using OSG to render the 3D real scene of Hong Kong, we obtain 3 trajectories in the environment including residential areas, city centers, bay highways, coastlines and mountains to test the algorithm. The experimental results show that the positioning error of the multi-scale visual feature association algorithm does not exceed 0.01% under extreme conditions such as the UAV flight trajectory length surpassing 10,000 m, sharp turn, and high speed, which proves that the algorithm in this paper can ensure the measurement accuracy of the positioning and effectively suppress drift of positioning, and has strong robustness. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Unmanned aerial vehicles (UAV)

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Review of Numerical Algorithms for Aircraft Trajectory Optimization 3rd

Review of Numerical Algorithms for Aircraft Trajectory Optim...

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3rd International Conference on Autonomous Unmanned systems, ICAUS 2023

作者： Jiang, Yunfei Liu, Jin Li, Fengyi Hao, Mingrui Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9789819711062

Flight trajectory optimization is a crucial aspect of aircraft design, and the numerical algorithms for trajectory optimization have always been a hot and challenging topic in domestic and international research. Starting from the classical classification of trajectory optimization methods and combining with recent advancements in the field of trajectory optimization, this paper provides an overview of various numerical algorithms for flight trajectory optimization, including their principles and applications. Furthermore, the characteristics of different methods and their suitability for solving specific problems are analyzed, offering valuable insights for the practical application of optimization methods. Finally, a brief analysis of the development of trajectory optimization is presented, along with a prospective outlook on the future direction of flight trajectory optimization algorithms. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Numerical methods

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Application of Generative Artificial Intelligence GPT in Unmanned Aircraft systems 1

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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Liu, Xinyu Hao, Mingrui Fan, Yu Li, Fengyi Zhen, Yan Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (数字)9789819733361

ISBN: (纸本)9789819733354

This article focuses on the application of generative artificial intelligence technology in unmanned aircraft systems. In detail, it elaborates on the application scenarios of GPT in aircraft design, development and production, aircraft intelligent situational awareness, and aircraft autonomous decision-making. Then article points out the basic conditions for deploying generative artificial intelligence technology in unmanned aircrafts, such as software and hardware requirements, and large-scale databases. At the same time, this article summarizes several inspirations of the intelligent development of unmanned aircrafts and puts forward some prospects for combining generative artificial intelligence technology with aircrafts. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Decision making

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Influence of Si Buffer Layer on the Crystal Quality of SiGe Films in Ge/Si/SiGe Heterostructures: A Molecular Dynamics Investigation

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Surface science 2025年

作者： Jianan Xie Tao Lin Cailin Wang College of Automation and Information Engineering Xi’an University of Technology Xi’an 710048 China Shannxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of Technology Xi’an 710048 China

SiGe materials have become a research hotspot due to their important applications in semiconductor devices, especially in optoelectronic and high-speed electronic devices. In this study, based on molecular dynamics simulations, the influence of the Si buffer layer on the quality of films in Ge/Si/SiGe heterostructures is investigated. By simulating the growth process of the Ge/Si/SiGe heterostructure, a deposition model based on Ge(100) substrates is established. Inspired by the concept of reverse gradient buffer layers, Si buffer layers are directly grown on Ge substrates, followed by the deposition of SiGe films. This study primarily investigates the effects of the growth temperature and deposition thickness of the Si buffer layer on the quality of SiGe films. Based on the deposition parameters identified as suitable under the current simulation conditions (620 °C, 9.7 nm), the influence of the buffer layer on SiGe films with varying Ge compositions is further analyzed. The results show that the dislocations and stacking faults formed in the Si buffer layer effectively relieve the stress caused by lattice mismatch, thus improving the crystal quality of the subsequent SiGe films. This study provides theoretical insights into the Ge/Si/SiGe heterostructure film growth process, which helps enhance the quality of SiGe films and expands their applications in semiconductor devices.

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