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Status and Application of Artificial Intelligence-Based Cooperative Positioning and Navigation technology for UAV Clusters 1

引用

3rd International Conference on Autonomous Unmanned systems, ICAUS 2023

作者： Sheng, Danting Cheng, Jin Li, Fengyi Hao, Mingrui Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China Intelligent Science and Technology Academy Limited of CASIC Beijing100041 China

ISBN: (数字)9789819710911

ISBN: (纸本)9789819710904

Aiming at the UAV cluster cooperative navigation, this paper tries to summarize the development experience and existing results on two issues, namely, the application of filtering and artificial intelligence in UAV cluster cooperative navigation. The application of filtering in UAV cluster cooperative navigation briefly describes the application of Kalman filtering and extended Kalman filtering, traceless Kalman filtering and other nonlinear filters, intelligent optimization algorithms combined with particle filtering in cooperative navigation. Artificial Intelligence Methods in Cooperative Navigation of UAV Clusters describes the application of deep feed-forward networks, brain-like information fusion methods based on integrated learning, multivariate interpolation of radial-based neural networks and Kalman filtering combined in the field of cooperative navigation. The results of existing applications of filtering and artificial intelligence in UAV cluster cooperative navigation are analyzed and summarized, and the future development of the field is outlooked. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Kalman filters

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Design and simulation of a two-stage linear inverted pendulum control system based on fuzzy LQR control 7

Design and simulation of a two-stage linear inverted pendulu...

引用

7th International Symposium on Autonomous systems, ISAS 2024

作者： Peng, Siting Ren, Jun Li, Lei Ma, Yichao Song, Zhichao The Beijing Electro-Mechanical Engineering Institute Science and Technology On Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9798350363173

This paper introduces in detail the origin of the development of automatic control methods, applications and current research hotspots. It also introduces some control methods commonly used in industrial and agricultural production, and expounds the current application hotspots and new advanced control methods that are developing rapidly. The background, current situation and classification of the inverted pendulum platform are introduced in detail. In the first chapter, the LQR method in modern control theory is introduced in detail. The influence of parameters is analyzed through simulink space modeling and simulation control experiment. At the same time, the real-time experiment is also done in combination with the hardware platform. In the second chapter, the fuzzy control theory in intelligent control is introduced in detail. By combining fuzzy control with LQR method, suitable LQR parameters are calculated by pole assignment. After proper adjustment, reasonable fuzzy rules are adopted and adaptive fuzzy control principle is applied to adjust the control situation in real time. Using simulink space modeling, a good simulation control effect is obtained. Finally, the summary is made. © 2024 IEEE.

关键词： Fuzzy control

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Simulation Experiment Factor Screening Method Based on Combinatorial Optimization 21st

Simulation Experiment Factor Screening Method Based on Combi...

引用

21st Asia Simulation Conference, AsiaSim 2022

作者： Zhang, Peng Li, Wei Chen, Qingao Tong, Jiahui Control and Simulation Center Harbin Institute of Technology Harbin China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9789811991974

When conducting complex simulation experiments, experimental factor screening is of great significance to improve the effectiveness and efficiency of the simulation. Aiming at the problems of unsatisfactory accuracy and efficiency of existing experimental factor screening methods, a simulation experiment factor screening method based on combinatorial optimization (EFS-CO) was designed. EFS-CO abstracts the experimental factor screening problem into a combinatorial optimization problem, designs the experimental factor evaluation criteria based on the support vector machine model, uses it as the fitness function of the genetic algorithm, and finally obtains the significant experimental factor. At the same time, to eliminate the influence of the randomness of the genetic algorithm on the screening results, the screening results of the experimental factors were determined based on the results of multiple experiments. Finally, the effectiveness of the method is verified by example analysis and comparing the results with the traditional experimental factor screening method. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Combinatorial optimization

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Observability Enhancement of the Target Tracking Model Based on Infrared Semi-strapdown Seeker

Observability Enhancement of the Target Tracking Model Based...

引用

2019 IEEE International Conference on Unmanned systems, ICUS 2019

作者： Siting, Peng Qian, Zhao Yichao, Ma Cheng, Xu Beijing Electro-Mechanical Engineering Institute Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9781728137926

As an important device for target interception, The seeker is used to search, recognize and track the target autonomously. Infrared semi-strapdown seekers are widely used in applications due to their low cost and small size. However, one non-negligible disadvantage of semi-strapdown infrared seekers is that the observability of target tracking model is poor, especially for the interception of high-speed maneuvering weapons. In this paper, the target tracking model ( i.e., the filtering estimation model) based on the infrared simi-strapdown seeker is established. The observability of the target tracking model is analyzed and the evaluation method of the observability is studied. Simulation results show that the observability of the filtering estimation model can be improved by increasing the relative motion between missile and target which results in faster changes of the line-of-sight (LOS) angle. According to the results on the observability analysis, the desired trajectory is obtained through the design of proper guidance law. Nonlinear filtering algorithm is also introduced for the trajectory design. Simulation experiments are conducted for the integrated filtering and guidance, and simulation results illustrate the effectiveness of the proposed observability enhancement method. © 2019 IEEE.

关键词： Observability

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UAV Training control and Evaluation Method Based on Dynamic Task Construction 17th

UAV Training Control and Evaluation Method Based on Dynamic ...

引用

17th Chinese intelligent systems Conference, CISC 2021

作者： Tong, Jiahui Zhang, Qing Ran, Jian Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China Beijing Electromechanical Engineering Institute Beijing China

ISBN: (纸本)9789811663277

In view of the problems such as high cost, low training efficiency and lack of versatility, a design scheme of UAV simulation training system based on dynamic mission construction is proposed, and the reproducing dynamic mission environment simulation technology and UAV training control and result evaluation and method are described in detail. The evaluation system of UAV simulation training results based on multi-factor influence data is constructed, which can effectively guide the simulation training of multi-type UAV and improve the overall training effect of UAV operators by synthesizing historical training data and real-time training data. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Unmanned aerial vehicles (UAV)

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Research on general system level training simulation technology of mid-and high-end military uav

Research on general system level training simulation technol...

引用

Chinese intelligent systems Conference, CISC 2020

作者： Zhang, Qing Tong, Jiahui Li, Haifeng Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China Beijing Electromechanical Engineering Institute Beijing China

ISBN: (纸本)9789811584497

A common training simulation system is proposed for the general-purpose and efficient control training needs of the mid-and highend military UAV system. The general modeling technology and processconfigurable interface protocol modeling method are adopted to realize the rapid construction of flight simulation subsystem of various aircraft models. A scheme based on general bus monitoring and fast extraction equipment is designed to realize the fast embedded real-time control training of UAV with different physical devices. A self-correctable control and evaluation method of UAV training based on multi-sample statistics is proposed to enhance the targeted strengthening setting of training subjects for trainees, so as to improve training efficiency and training effect. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021.

关键词： Extraction

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Preliminary Study on the Method of Generating Infrared Image Based on CycleGAN 19th

Preliminary Study on the Method of Generating Infrared Image...

引用

19th Chinese intelligent systems Conference, CISC 2023

作者： Sun, Baiping Tong, Jiahui Geng, Huapin Beijing Electromechanical Engineering Institute Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9789819968855

Traditional infrared scene simulation method mainly includes the establishment of 3D geometric model of the target, the establishment of scene radiation model, the relationship mapping between infrared radiation and infrared image gray value and other steps. The whole process is tedious, and contain more calculated parameters. This paper introduce CycleGAN network, draw on its ring network structure and unpaired data or paired data as a training set, realize the advantages of domain image conversion effect, explore the visible light image conversion into corresponding infrared image, solve the problems such as samples in the process of infrared imaging simulation is limited, fidelity is low, and coverage is limited. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Infrared radiation

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Robust composite control of telescopic wing morphing aircraft with control allocation

Robust composite control of telescopic wing morphing aircraf...

引用

2021 China Automation Congress, CAC 2021

作者： Wang, Zijian Hou, Mingzhe Hao, Mingrui Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9781665426473

In this paper, the problem of anti-disturbance, anti-saturation and fixed-time control for a class of telescopic wing morphing aircraft is studied. The telescopic wing morphing aircraft treats the variable wingspan as an extra control input to construct the dynamic model of the morphing-aided maneuver. According to the model characteristics, the controller design is divided into two loops: the speed loop and the attitude loop. Through a fixed-time continuous feedback control scheme, fixed time of the tracking reference trajectory is ensured. By combining the integral sliding mode control (ISMC) method with super-twisting control (STC), the uncertainties of aerodynamic coefficients and external disturbances are overcome. In addition, the anti-saturation problem of the aircraft actuator is solved by the initial solution correction method based on Null-space augmented solutions. The simulation result shows that the designed algorithm has great tracking performance, while the robustness and anti-saturation performance are guaranteed. © 2021 IEEE

关键词： Robust control

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Research on Simulation Method of Space-Ground Consistency for UAV Cluster Combat

Research on Simulation Method of Space-Ground Consistency fo...

引用

International Conference on Autonomous Unmanned systems, ICAUS 2021

作者： Qing, Zhang Jing, Li Jiahui, Tong Jian, Han Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China Beijing Electromechanical Engineering Institute Beijing China

ISBN: (纸本)9789811694912

The Space-ground consistency of the unmanned aerial vehicle (UAV) cluster combat distributed interactive simulation system is the fundamental guarantee to simulate and reproduce the authenticity and correctness of UAV cluster combat mission, combat environment and combat process. This paper analyzes the common inconsistency problems of UAV cluster combat distributed simulation system, gives the technical connotation of the space-ground consistency of UAV cluster combat simulation, deeply analyzes all kinds of factors that affect the consistency of UAV cluster combat simulation space and ground, and puts forward the control methods of time-space consistency of UAV cluster combat simulation system, the control strategies and suggestions of model consistency and service consistency. It provides a theoretical basis and technical support for the construction of distributed interactive simulation system for UAV cluster combat. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Unmanned aerial vehicles (UAV)

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Cross-cycle iterative unmanned aerial vehicle reentry guidance based on reinforcement learning

Cross-cycle iterative unmanned aerial vehicle reentry guidan...

引用

2019 IEEE International Conference on Unmanned systems, ICUS 2019

作者： Cheng, Yang Shui, Zunshi Xu, Cheng Feng, Tianyu Jiang, Yiyang Beijing Aerospace Technology Research Institute Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9781728137926

The traditional predictive correction algorithm requires a large number of iterative calculations for the predicted trajectory, which greatly occupies a large amount of computing resources, so that the real-time solution of the guidance command can not be guaranteed, and the guidance accuracy will have a large impact. And the prediction correction guidance requires the algorithm to have the ability of selfadaptation and intelligent learning. Therefore, this paper proposes a cross-cycle iterative hypersonic UAV predictive correction guidance method based on reinforcement learning. The parametric control variable (CVP) method is used to construct the parametric model of the guidance command. The actor-critic-based reinforcement learning method is used to solve the guidance command in real time, and the guidance information is effectively transmitted in the adjacent guidance solution cycle. The guidance error converges to within the allowable accuracy range during the cross-cycle iteration. Monte Carlo simulation shows that the proposed method has good adaptability to initial conditions and flight parameter uncertainty, and can guarantee the real-time performance of the guidance command while achieving high-precision guidance. © 2019 IEEE.

关键词： Reinforcement learning

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