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Impulsive thrust strategy for orbital pursuit-evasion games based on impulse-like constraint

Chinese Journal of Aeronautics 2025年第1期38卷 520-536页

作者： Hongbo WANG Yao ZHANG Hao LIU Kunpeng ZHANG School of Aerospace Engineering Beijing Institute of TechnologyBeijing 100081China National Key Laboratory of Space Intelligent Control Beijing Institute of Control EngineeringBeijing 100094China

This paper proposes a novel impulsive thrust strategy guided by optimal continuous thrust strategy to address two-player orbital pursuit-evasion game under impulsive thrust *** strategy seeks to enhance the interpretability of impulsive thrust strategy by integrating it within the framework of differential game in traditional continuous ***,this paper introduces an impulse-like constraint,with periodical changes in thrust amplitude,to characterize the impulsive thrust ***,the game with the impulse-like constraint is converted into the two-point boundary value problem,which is solved by the combined shooting and deep learning method proposed in this *** learning and numerical optimization are employed to obtain the guesses for unknown terminal adjoint variables and the game terminal ***,the accurate values are solved by the shooting method to yield the optimal continuous thrust strategy with the impulse-like ***,the shooting method is iteratively employed at each impulse decision moment to derive the impulsive thrust strategy guided by the optimal continuous thrust *** examples demonstrate the convergence of the combined shooting and deep learning method,even if the strongly nonlinear impulse-like constraint is *** effect of the impulsive thrust strategy guided by the optimal continuous thrust strategy is also discussed.

关键词： Orbital pursuit-evasion game Differential game Impulsive thrust Deep learning Shooting method

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An improved equivalent beam model of large periodic beam-like space truss structures

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Chinese Journal of Aeronautics 2023年第12期36卷 297-308页

作者： Dongfang ZHU Xiaoxuan YAN Jun SUN Fucheng LIU Dongxing CAO Shanghai Aerospace Control Technology Institute Shanghai 201109China Shanghai Key Laboratory of Aerospace Intelligent Control Technology Shanghai 201109China Faculty of Materials and Manufacturing Beijing University of TechnologyBeijing 100124China

Space truss structures are essential components for space-based remote sensing loads with high spatial and temporal *** achieve high-precision vibration control,an accurate and efficient dynamics model is *** addition to the current equivalent beam model(EBM)based on the classical continuum theory,an improved equivalent beam model(IEBM)is proposed that considers the impact of the distinction between trusses and beams on torsional and shear deformations,as well as the impact of shear deformation on flexural *** to the displacement expressions of spatial beams,torsional,shear,and bending correction coefficients are introduced to derive expressions of strain energy and kinetic *** energy equivalence principle is then utilized to calculate the elasticity and inertia matrices,and dynamics equations are established using the finite element ***,an IEBM is constructed by employing the particle swarm optimization approach to determine the correction coefficients with the truss natural frequency as the optimization *** natural vibration characteristics of the structure are estimated for various material *** with the full-scale finite element model,the EBM reaches a maximum error of 80%for a low modulus of elasticity,while the maximum error of the IEBM is less than 2%for any given parameters,indicating its superior accuracy to the EBM.

关键词： Energy equivalence principle Improved equivalent beam model(IEBM) Natural vibration characteristic Particle swarm optimization approach Truss structure

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Feature-aided pose estimation approach based on variational auto-encoder structure for spacecrafts

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Chinese Journal of Aeronautics 2024年第8期37卷 329-341页

作者： Yanfang LIU Rui ZHOU Desong DU Shuqing CAO Naiming QI Department of Aerospace Engineering Harbin Institute of TechnologyHarbin 150001China Suzhou Research Institute of HIT Suzhou 215104China Shanghai Institute of Spaceflight Control Technology Shanghai 201109China Shanghai Key Laboratory of Aerospace Intelligent Control Technology Shanghai 201109China

Real-time 6 Degree-of-Freedom(DoF)pose estimation is of paramount importance for various on-orbit *** from the development of deep learning,Convolutional Neural Networks(CNNs)in feature extraction has yielded impressive achievements for spacecraft pose *** improve the robustness and interpretability of CNNs,this paper proposes a Pose Estimation approach based on Variational Auto-Encoder structure(PE-VAE)and a Feature-Aided pose estimation approach based on Variational Auto-Encoder structure(FA-VAE),which aim to accurately estimate the 6 DoF pose of a target *** methods treat the pose vector as latent variables,employing an encoder-decoder network with a Variational Auto-Encoder(VAE)*** enhance the precision of pose estimation,PE-VAE uses the VAE structure to introduce reconstruction mechanism with the whole ***,FA-VAE enforces feature shape constraints by exclusively reconstructing the segment of the target spacecraft with the desired *** evaluation against leading methods on public datasets reveals similar accuracy with a threefold improvement in processing speed,showcasing the significant contribution of VAE structures to accuracy enhancement,and the additional benefit of incorporating global shape prior features.

关键词： Pose estimation Variational auto-encoder Feature-aided Pose Estimation Approach On-orbit measurement tasks Simulated and experimental dataset

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Autonomous Navigation Algorithm for GEO satellites during Hall Thruster Trajectory control in All-time

Autonomous Navigation Algorithm for GEO satellites during Ha...

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2024 China Automation Congress, CAC 2024

作者： Liu, Xiao Gao, Sihong Liang, Jupin Xiang, Kun Guo, Zhengyong Shanghai Key Laboratory of Aerospace Intelligent Control Technology Shanghai Aerospace Control Technology Institute Shanghai China

ISBN: (纸本)9798350368604

This paper mainly studies the autonomous navigation and orbit propagation algorithm of the Hall electric propulsion as the thrust control device for geostationary orbit satellites during the thrust control period. Compared with low-altitude satellites, high-altitude satellites generally have relatively poor GNSS velocity measurement accuracy during thrust control, as well as small thrust generated by the Hall electric propulsion, and the tachometer on the large-inertia, large-mass satellite cannot accurately measure the thrust control acceleration, resulting in a decline in the original autonomous navigation accuracy during thrust control. This paper proposes a joint autonomous navigation algorithm for the Hall electric propulsion during thrust control using the EKF and local optimal filtering. The EKF filter suppresses the measurement white noise of the GNSS positioning data, and then the local optimal filter estimates the Hall electric propulsion acceleration and feeds it back to the EKF filter algorithm in real time to improve the navigation accuracy of the Hall electric propulsion during operation. Simulation results show that the joint autonomous navigation algorithm based on the above filtering method can accurately estimate the size of the Hall electric propulsion acceleration, and can effectively improve the autonomous navigation accuracy during continuous small thrust control. © 2024 IEEE.

关键词： Extended Kalman filters

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A highly-selective biomimetic potassium channel

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National Science Review 2024年第8期11卷 187-195页

作者： Junliang Zhu Hu Qiu Wanlin Guo Key Laboratory for Intelligent Nano Materials and Devices of the Ministry of Education State Key Laboratory of Mechanics and Control for Aerospace Structures Institute for Frontier ScienceNanjing University of Aeronautics and Astronautics

Reproducing the outstanding selectivity achieved by biological ion channels in artificial channel systems can revolutionize applications ranging from membrane filtration to single-molecule sensing technologies,but achieving this goal remains a ***,inspired by the selectivity filter structure of the KcsA potassium channel,we propose a design of biomimetic potassium nanochannels by functionalizing the wall of carbon nano tubes with an array of arranged carbonyl oxygen *** extensive molecular dynamics simulations show that the biomimetic nanochannel exhibits a high K+permeation rate along with a high K+/Na+selectivity *** free energy calculations suggest that the low Na+permeability is the result of the higher energy barrier for Na+than K+at the channel entrance and ion binding *** addition,reducing the number of ion binding sites leads to an increase in the permeation rate but a decrease in *** findings not only hold promise for the design of high-performance membranes but also help understand the mechanism of selective ion transport in biological ion channels.

关键词： biomimetic design carbon nanotube K+/Na+ selectivity molecular dynamics simulations

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Deployment dynamics and experiments of a tendon-actuated flexible manipulator

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Chinese Journal of Aeronautics 2025年第2期38卷 459-477页

作者： Benteng ZHANG Jialiang SUN Haiyan HU State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing University of Aeronautics and AstronauticsNanjing 210016China MOE Key Laboratory of Dynamics and Control of Flight Vehicle School of Aerospace EngineeringBeijing Institute of TechnologyBeijing 100081China

The quantity of space debris on Earth orbit has escalated tremendously in recent years, presenting a significant hazard to human space operations. It is urgent to develop effective measures to capture and remove various space debris. For this purpose, this paper presents a tendon-actuated flexible deployable manipulator. The flexible manipulator consists of several deployable units connected by Cardan joints and actuated by tendons. Compared with the present technologies for capturing space debris such as rigid robotic arm or flying net, this flexible manipulator is deployable, reusable, lightweight and applicable to the capture of large space debris. In order to investigate its deployment dynamics, an accurate dynamic model of the flexible manipulator is established based on the natural coordinate formulation (NCF) and the absolute nodal coordinate formulation (ANCF). Subsequently, numerical simulations are carried out to study the effects of system parameters and the base satellite on its deployment dynamics. Finally, ground experiments for both deployment and bending of the flexible manipulator are conducted to verify its effectiveness and feasibility.

关键词： Flexible manipulator Tendon-actuated Dynamic modeling Deployment dynamics Ground experiments

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A Tutorial on Quantized Feedback control

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 5-17页

作者： Minyue Fu IEEE the School of System Design and Intelligent Manufacturing Shenzhen Key Laboratory of Control Theory and Intelligent Systems and Centre for Control Science and TechnologySouthern University of Science and TechnologyShenzhen 518055China

In this tutorial paper, we explore the field of quantized feedback control, which has gained significant attention due to the growing prevalence of networked control systems. These systems require the transmission of feedback information, such as measurements and control signals, over digital networks, presenting novel challenges in estimation and control design. Our examination encompasses various topics, including the minimal information needed for effective feedback control, the design of quantizers, strategies for quantized control design and estimation,achieving consensus control with quantized data, and the pursuit of high-precision tracking using quantized measurements.

关键词： Consensus control high-precision control networked control quantized estimation quantized feedback control robust control

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Modified smoothing-homotopy-based sequential convex programming for ascent trajectory optimization with path constraints

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Acta Astronautica 2025年 234卷 632-643页

作者： Zhao, Mengxin Pan, Binfeng Lu, Shan Hou, Xiyu School of Astronautics Northwestern Polytechnical University Shaanxi Xi'an710072 China Shanghai Key Laboratory of Space Intelligent Control Technology Shanghai Aerospace Control Technology Institute Shanghai201109 China

To meet the growing demands for reliability and onboard performance in launch missions, this paper introduces a modified smoothing-homotopy sequential convex programming (MSH-SCP) approach for endo-atmospheric ascent trajectory optimization problems with strict path constraints. Compared to the original SH-SCP, the proposed method introduces three major enhancements. Firstly, the convolution of the smoothing kernel is extended from the terminal state to all discrete states across the entire time domain. This alleviates the challenges posed by non-convexity in highly nonlinear ascent problems, resulting in an easier and more tractable smoothed problem. Secondly, by replacing states in path constraints with smoothed states, this method eliminates the need to transform path constraints into control constraints, allowing state constraints to be handled directly. Lastly, the continuous-time problem is discretized into a sequence of finite-dimensional sub-problems by parameterizing state and control variables using non-uniform rational basis spline (NURBS) curves. Leveraging from the superior fitting characteristics and strong convex hull properties of NURBS curves, optimization variables and constraints are reduced in number, markedly enhancing computational speed. Numerical simulations reveal that the MSH-SCP method achieves superior convergence behavior and exhibits significant improvements in computational efficiency. © 2025 IAA

关键词： Convex optimization

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Unified Design Method of Filters for Different Measurement Phases in Space Relative Navigation Tasks

Unified Design Method of Filters for Different Measurement P...

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2024 China Automation Congress, CAC 2024

作者： Li, Qing Lu, Shan Zhang, Shiyuan Zhou, Jingjing Xu, Chen Shanghai Aerospace Control Technology Institute Shanghai China Shanghai Aerospace Control Technology Institute Shanghai Key Laboratory of Aerospace Intelligent Control Technology Shanghai China

ISBN: (纸本)9798350368604

In spacecraft relative navigation, as the relative distance changes, the output varies with different measurement devices. For traditional filtering methods, different filters need to be switched when the measurement output changes, which reduces the computational efficiency. Considering this problem, a simplified converted measurement Kaiman filter (SCMKF) is designed to construct a unified filter. The proposed unified filter simplifies the calculation of the measurement noise covariance matrix, based on the analysis on the factors affecting measurement noise and the accuracy of measurement device. Compared to the traditional filter, the proposed unified filter decreases the computational complexity significantly on the premise of ensuring the calculation accuracy. © 2024 IEEE.

关键词： Wiener filtering

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Continuous Self-Leaming control under System Identification based on Hopfield Neural Network

Continuous Self-Leaming Control under System Identification ...

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2024 China Automation Congress, CAC 2024

作者： Tan, Tian-Le Zhu, He Hou, Yue-Yang Zhang, Wen-Jing Shanghai Aerospace Control Technology Institute Shanghai Key Laboratory of Space Intelligent Control Technology Shanghai China

ISBN: (纸本)9798350368604

Considering the dynamic modeling of an unknown and time-varying complex dynamic system in the model-based control, this paper develops a data-driven system identification method based on the Hopfield neural network (abbreviated as HNN). The normalization and denormalization transformation are designed to preprocess the training samples, and by the sliding window to refresh the sampling continuously, an online iteration method is proposed to identify the dynamic parameters. Furthermore, a continuous self-learning control based on HNN is developed in coordination with the model-based prediction and inversion control. Simulation results on the manipulator show that the HNN could efficiently identify the dynamic model in real time. The identified model has an approximately isomorphic equivalent form to the dynamic mechanism model, which could be used for the qualitative and quantitative analysis of the control quality. Results also verify the dynamic adaptability of the HNN continuous self-learning control for the nonlinear unknown and time-varying system. © 2024 IEEE.

关键词： Hopfield neural networks

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