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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Zhang, Chenming Jiang, Jiahao Li, Xiang Wang, Zhelong Qiu, Sen Dalian University of Technology Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of the Ministry of Education School of Control Science and Engineering Dalian116024 China

ISBN: (纸本)9781665481090

Non-intrusive Load Monitoring (NILM) represents a cost-efficient technological advancement in meticulously monitoring electricity consumption patterns. However, external noise interference in practical load identification poses challenges for accurate monitoring. To address this, a multi-task learning framework is proposed, concurrently tackling load identification and signal de-noising. To extract effective information from load signals, a novel feature representation called variational mode decomposition-instantaneous amplitude (VMD-IA) was introduced. To ensure optimal performance across the different tasks, a multi-gate mixture of expert architecture (MMOE) module is integrated into the proposed model. The proposed approach was evaluated on a self-collected load dataset, as well as public NILM datasets. The experimental results indicate that the proposed model outperforms state-of-the-art methods in all tasks. © 2024 IEEE.

关键词： Signal denoising

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GooDFlight: Goal-Oriented Diffusion Model for Flight Trajectory Prediction

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IEEE Transactions on aerospace and Electronic Systems 2025年第3期61卷 7447-7465页

作者： Yang, Songru Liu, Liqin Chen, Bowen Cheng, Shaoyuan Shi, Zhenwei Zou, Zhengxia Beihang University Department of Aerospace Intelligent Science and Technology School of Astronautics China Beihang University State Key Laboratory of Virtual Reality Technology and Systems Beijing100191 China Shanghai Artificial Intelligence Laboratory Shanghai200232 China Beijing Institute of Space Mechanics and Electricity Beijing100076 China

Flight trajectory prediction is an essential task in the air traffic control field. Previous approaches to this problem usually follow a single-stage or short-term intention-guided prediction paradigm, which suffers from problems such as insufficient trajectory prediction diversity, limited accuracy and interpretability. Different from existing paradigms, in this paper, we present GooDFlight - A Goal-oriented Diffusion Model for Flight trajectory prediction. GooDFlight is a long-term intention-guided, diversity-emphasizing framework that decouples the flight trajectory prediction process into two stages: goal estimation and trajectory prediction. In the first stage, we propose a One-then-all goal estimation method to sufficiently cover the macro-uncertainty in flight patterns and then tailor the interaction-aware joint goal distribution, which extends the flight intention from a single, deterministic ground truth to the empirical intention distribution from the similar experience. In the second stage, we employ a transformer-based diffusion model to generate stochastic flight trajectories conditioned on the intention estimations, modeling the micro-uncertainty in flight operations under each pattern estimated in stage one. In terms of evaluation metrics, existing metrics have difficulties in accurately reflecting the model's ability to handle the natural uncertainty of trajectories. We further propose a simple yet effective Global-local endpoints Variance (GLeV) metric for evaluating the diversity of predicted trajectories under social acceptance. Our proposed method is validated in-depth on TrajAir, a large-scale dataset collected from the real-world air traffic control environment at the Pittsburgh-Butler Regional Airport, a non-towered general aviation airport. The experimental results demonstrate that the proposed method significantly outperforms other methods in terms of both accuracy and diversity with superior interpretability. © 1965-2011 IEEE.

关键词： Stochastic systems

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Meter-Scale Thin-Walled Structure with Lattice Infill for Fuel Tank Supporting Component of Satellite:Multiscale Design and Experimental Verification

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Computer Modeling in Engineering & sciences 2024年第1期138卷 201-220页

作者： Xiaoyu Zhang Huizhong Zeng Shaohui Zhang Yan Zhang Mi Xiao Liping Liu Hao Zhou Hongyou Chai Liang Gao Beijing Key Laboratory of Lightweight Multi-Functional Composite Materials and Structures Beijing Institute of TechnologyBeijing100081China Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications Beijing Institute of Spacecraft System EngineeringChina Academy of Space TechnologyBeijing100094China Key Laboratory of Metallurgical Equipment and Control Technology Ministry of EducationWuhan University of Science and TechnologyWuhan430081China State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and TechnologyWuhan430074China

Lightweight thin-walled structures with lattice infill are widely desired in satellite for their high stiffness-to-weight ratio and superior buckling strength resulting fromthe sandwich *** structures can be fabricated bymetallic additive manufacturing technique,such as selective laser melting(SLM).However,the maximum dimensions of actual structures are usually in a sub-meter scale,which results in restrictions on their appliance in aerospace and other *** this work,a meter-scale thin-walled structure with lattice infill is designed for the fuel tank supporting component of the satellite by integrating a self-supporting lattice into the thickness optimization of the *** designed structure is fabricated by SLM of AlSi10Mg and cold metal transfer welding ***-static mechanical tests and vibration tests are both conducted to verify the mechanical strength of the designed large-scale lattice thin-walled *** experimental results indicate that themeter-scale thin-walled structure with lattice infill could meet the dimension and lightweight requirements of most spacecrafts.

关键词： Thin-walled structure lattice infill supporting component selective laser melting satellite

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Distributed Cooperative Search Based on DRH-NSGA Under Communication Constraint

Distributed Cooperative Search Based on DRH-NSGA Under Commu...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Si, Jia Shuai Cheng, Jin Hao, Ming Rui Liu, Zhen Chang Science and Technology On Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9789811966125

For unmanned aerial vehicle (UAV) cooperative search mission under communication distance limitation environment, considering that the computation scale of rolling time domain optimization increases exponentially with the change of predicted steps and the problem that searching performance metrics are difficult to be selected, the distributed receding horizon non-dominated sorting genetic algorithm (DRH-NSGA) is proposed, and the distributed receding horizon (DRH) process is optimized by non-dominated sorting genetic algorithm (NSGA),and the cooperative search problem in dynamic environment is solved. Firstly, the motion and sensor models of UAV are established. Considering the possibility of interference or communication interruption during UAV communication, the communication interruption probability is added based on the communication distance constraint. In this paper, the environment awareness map is constructed, considering the motion characteristics of time-sensitive targets, and based on the updating of target probability by using Bayesian theory, the updating of time-sensitive target prediction transition probability is added to improve the accuracy of moving target existence probability map. Finally, the search performance index is designed reasonably, and the RH framework is used to optimize the search path. The simulation results show that the distributed cooperative search algorithm based on DRH-NSGA can shorten the single step planning time while ensuring the convergence speed and ensure the real-time decision-making of UAV search. At the same time, it can effectively take into account the search of moving targets after covering the search area. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Antennas

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Many-to-many GEO on-orbit refueling mission optimization under time-varying fuel demands via modified differential evolution 74

Many-to-many GEO on-orbit refueling mission optimization und...

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74th International Astronautical Congress, IAC 2023

作者： Li, Chuanjiang Han, Peng Zhang, Haibo Guo, Yanning Harbin Institute of Technology China Beijing Institute of Control Engineering National Key Laboratory of Science and Technology on Space Intelligent Control China

As a kind of on-orbit servicing technology, on-orbit refueling (OOR) has essential significance in prolonging the lifetime of satellites and decreasing the generation of space debris, especially for the expensive satellites located in geosynchronous orbit (GEO). Recently, several one-to-one mode-based OOR missions have been successfully conducted in space. To further reduce the economic cost, the mode of using several refuel satellites (RS) to refuel some dozens of client satellites (CS) in one mission has been proposed, that is, the many-to-many OOR mode. To maximize the efficiency of this mode, the mission optimization problem that determines the refueling sequence and time should be further investigated. The mission optimization is usually carried out before the OOR mission starts, and the fuel demand of CS is obtained in advance. However, the OOR mission for multiple GEO CSs usually takes a long time, and some temporarily unrefueled CSs may perform orbit maintenance by consuming the remaining fuel, leading to a time-varying fuel demand change. In this case, performing the initial mission optimization results may lead to efficiency reduction or even mission failure. To address this problem, in this paper, a many-to-many mode-based OOR mission optimization model is established considering the time-varying fuel demands, and a differential evolution (DE) based algorithm is designed to solve the problem. Firstly, a remaining fuel varying law is obtained according to the periodic orbit maintenance strategy of GEO CSs. Based on that, the mission profit model is further established. Then, by additionally considering several constraints like RS fuel capacity, mission duration, and orbital maneuver duration, the mission optimization model is established. Next, by taking the refueling sequence, the instant of refueling begins as the design variable, and a modified DE is designed to solve the problem. Unlike existing DE, a greedy-search-based mechanism generates high-qualit

关键词： differential evolution geosynchronous orbit on-orbit refueling time-varying fuel demands

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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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Layout Design of Satellite Star Sensor Fixed to Rotation Platform

Layout Design of Satellite Star Sensor Fixed to Rotation Pla...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Li, Guiming Li, Zhihui Liu, Rui Zhang, Jianfu Wang, Yushuang Chen, Ao Beijing100190 China Science and Technology on Space Intelligent Control Laboratory Beijing100190 China

ISBN: (纸本)9789811966125

Satellite attitude determination is one of the key parts of control system design. Star sensor (STS) is one of the high-precision attitude measurement instruments. However, the STS fixed on the load platform rotate and is frequently affected by solar radiation, earth atmosphere radiation and other factors, which is not conducive to the accuracy of satellite high-precision attitude determination. In view of the above problems, many factors are considered comprehensively, and the layout design of STS fixed on rotation platform is proposed in this paper. There are four STS adopted, and the angle between the optical axis conic pendulum curve of two STSs in each group is greater than or equal to 70° at the intersection of the satellite X-axis and the solar plane, which is equal to twice the stray light suppression angle of STSs, and the angle of any two STSs is as close to 90° as possible in geometric space. Based on the layout scheme, it is ensured that the sunlight doesn’t enter each STS at the same time. The results of STK simulation show that the layout scheme is reasonable and feasible, and is suitable for the influence of different seasonal. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Satellites

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Multi-UAV Cooperative Path-Planning under Complex Threat Environment 42

Multi-UAV Cooperative Path-Planning under Complex Threat Env...

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42nd Chinese control Conference, CCC 2023

作者： Liu, Zhenchang Liu, Yuting Zhao, Hongyin Lu, Hanchen Hao, Mingrui Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9789887581543

This paper proposes a cooperative path-planning method based on multi-Dubins path segments to meet the penetration requirements of UAVs in a complex threat environment. A pruning strategy is used in path-planning to sift path segments, and the diversity of threat avoidance paths is considered under a reasonable calculation amount. A threat intrusion strategy is designed for no safety path condition, which makes the cooperative path-planning method have excellent robustness. A cooperative path optimization method based on particle swarm optimization is adopted for the path length and collision avoidance requirements. The simulation results show that the UAV cooperative paths can avoid the threat area under any starting and ending points, and path lengths are close to the expected length. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Unmanned aerial vehicles (UAV)

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Cognitive Jammer Time Resource Scheduling With Imperfect Information Via Fuzzy Q-Learning

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IEEE Transactions on aerospace and Electronic Systems 2025年第3期61卷 7422-7434页

作者： Gan, Linchuan Xiong, Kui Liao, Maosen Yu, Xianxiang Cui, Guolong University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu611731 China Laboratory of Electromagnetic Space Cognition and Intelligent Control Technology Beijing100089 China UESTC Shenzhen Institute for Advanced Study Shenzhen518038 China

Effective strategy generation of the jammer with inaccurate or undetermined information for combating the radar system is a challenging problem and the relevant research is scarce in existing work. This paper aims at exploring this promising topic and proposing a transmitting time slots scheduling strategy generation method for the cognitive jammer with imperfect time-matching information based on fuzzy reinforcement learning. First, the interaction between the jammer and environment is modeled as a Markov decision process (MDP) with uncertain state and continuous action, in which the goal of the jammer in interaction is to maximize accumulated discount pulse transmitting time slot jamming probability. Then, the uncertain pulse repeat intervals (PRIs) of the radar signal is inferred using the fuzzy inference system (FIS), where the inferred reward is evaluated by the correntropy of the inferred radar PRI and the previously measured one, thus presenting the fuzzy Q-learning based time scheduling (TSFQL) algorithm. Finally, numerical simulations in typical scenarios are performed to illustrate the effectiveness and superiority of the TSFQL algorithm over conventional methods. © 1965-2011 IEEE.

关键词： Markov processes

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The Robust Adaptive controller for Hypersonic Flight Vehicle Based on ADRC and PSMC

The Robust Adaptive Controller for Hypersonic Flight Vehicle...

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2022 Chinese Automation Congress, CAC 2022

作者： Mo, Jiaxuan Liu, Xiaodong Lu, Kunfeng Jiang, Sirong Beijing Aerospace Automatic Control Institute National Key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing China China Academy of Launch Vehicle Technology Beijing China

ISBN: (纸本)9781665465335

Considering the nonlinearity, uncertainty and difficulties of modelling for hypersonic flight vehicles (HFV), this paper proposes a robust adaptive controller for HFV attitude control. Based on the longitudinal model for HFV during the phase of gliding with both external disturbance and internal parameter perturbation, the control-oriented affine nonlinear model for attitude control has been established in this paper. According to this model, this paper involves tracking differentiator (TD), an adaptive nonlinear extended state observer (ANLESO) into the predictive sliding mode controller (PSMC). An adjustment coefficient, an improved nonlinear function and a sigmoid tracking differentiator are included in the ANLESO to enhance the accuracy of estimation. Numerical simulation results verify that the proposed controller is both applicable and robust for HFV attitude tracking. It is shown that the proposed controller leads to better performance when tracking the desired command even exerted with disturbance. © 2022 IEEE.

关键词： Attitude control

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