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2024 IAF Space Operations Symposium at the 75th International Astronautical Congress, IAC 2024

作者： Xu, Rui Zhou, Junhui Li, Zhaoyu Zhu, Shengying Pan, Bo Zhao, Zhijun Yu, Dengyun School of Aerospace Engineering Beijing Institute of Technology Beijing100081 China Key Laboratory of Autonomous Navigation and Control for Deep Space Exploration Ministry of Industry and Information Technology Beijing100081 China Beijing Institute of Spacecraft System Engineering Beijing100094 China China Aerospace Science and Technology Corporation Beijing100048 China

ISBN: (纸本)9798331312183

China, in collaboration with multiple countries, is preparing to construct a long-term, independently operated international lunar research station on the surface of the moon in the coming years. The construction of an unmanned lunar research station requires the collaboration of diverse and heterogeneous lunar robots to successfully carry out missions. Task allocation for heterogeneous lunar robots is a crucial technical requirement, focusing on constructing evaluation matrix, designing optimization objective functions, and developing algorithms for optimization matching. The state changes during the execution of tasks by robots result in different resource costs for completing other task goals compared to the initial resource costs. Therefore, one of the major challenges in task allocation for multi-robot systems is effectively managing dynamic resource costs during the construction of evaluation matrix (and subsequent optimization based on the matrix). However, the current approach tends to calculate static cost without considering cost changes during task execution, which deviates from standard engineering practices. Instead, the primary contribution of this paper lies in designing a heuristic algorithm capable of optimizing task allocation outcomes while accounting for the dynamic changes in resource costs incurred during goal achievement. In this paper, we propose a heuristic task allocation method for heterogeneous lunar robots under dynamic resource cost. Given a multi-robot cooperative task, our method firstly constructs a task allocation model based on robotic capability and task resource consumption. Next, based on relaxation planning graph, the resource cost for each lunar rover to complete all task goals is calculated, and the cost of transitioning between different goal states is estimated (to efficiently update the resource cost of completing each goal as the lunar rover's state changes). Subsequently, the evaluation matrix is constructed. Then, a heu

关键词： Multipurpose robots

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Style Transfer Based on Discrete Space Modeling

Style Transfer Based on Discrete Space Modeling

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Information technology,Big Data and Artificial Intelligence (ICIBA), International Conference on IEEE International Conference on

作者： Zhiguo Huang Wei Chen Ziyu Huang Xu Han Jie Yan Tianjin Navigation Instruments Research Institute China Laboratory of Science and Technology on Marine Navigation and Control China State Shipbuilding Corporation Tianjin China

ISBN: (数字)9798350363609

ISBN: (纸本)9798350363616

This paper is dedicated to exploring headline style transfer techniques, with the core objective of enhancing the appeal of headlines while preserving their semantics. A significant challenge is the lack of parallel training datasets. To address this issue, we propose an unsupervised headline style transfer model called the Discrete Headline Generation (DHG) model. This model decomposes the process of generating text with specific styles into two key steps: content feature extraction and style modeling. Two text encoders separately extract the content information and style information from the input text, while a text decoder integrates the knowledge from both encoders to generate content with a specific *** that style signals are more abstract compared to textual content, we propose constructing the style representation space as a discrete space, where each discrete point corresponds to a specific style category. Experimental results demonstrate that the DHG model exhibits state-of-the-art performance in comprehensive evaluations.

关键词： Training Semantics Big Data Feature extraction Data models Decoding Data mining Information technology Artificial intelligence

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Mission Design of an Aperture-Synthetic Interferometer System for Space-Based Exoplanet Exploration

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Space(Science & technology) 2022年第1期2022卷 297-306页

作者： Feida Jia Xiangyu Li Zhuoxi Huo Dong Qiao School of Aerospace Engineering Beijing Institute of TechnologyBeijing 100081China Key Laboratory of Autonomous Navigation and Control for Deep Space Exploration Ministry of Industry and Information TechnologyBeijing 100081China Qian Xuesen Laboratory of Space Technology Beijing 100094China

In recent years,exoplanet detection has become the technological frontier in the field of astronomy,because it provides evidence of the origin of life and the future human habitable *** several satellites to form an aperture-synthetic interferometer system in space may help discover“another Earth”via interferometry and midinfrared broadband *** paper analyzes a space-based exoplanet exploration mission in terms of the scientific background,mission profile,trajectory design,and orbital ***,the system architecture and working principle of the interferometer system are briefly ***,the mission orbit and corresponding transfer trajectories are *** halo orbit near the Sun-Earth L2(SEL2)orbit is chosen as the candidate mission *** low-energy transfer via stable invariant manifold with multiple perigees is designed,and the proper launch windows are presented.A speed increment less than 10 m/s is imposed for each transfer to achieve the insertion of the halo ***,the tangent targeting method(TTM)is applied for high-precision formation maintenance with the whole velocity increments of less than 5×10^(−4)m/s for each spacecraft when the error bound is 0.1 *** overall fuel budget during the mission period is evaluated and *** design in this paper will provide technical support and reliable reference for future exoplanet exploration missions.

关键词： planet Earth interferometer

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Deep Reinforcement Learning-Based Cooperative Guidance Law with Multi-Constraint

Deep Reinforcement Learning-Based Cooperative Guidance Law w...

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2023 China Automation Congress, CAC 2023

作者： Gao, Zhihao Fan, Junfang Dou, Denghui Ji, Yi Li, Yafeng Wu, Jinmin School of Automation Beijing Information Science and Technology University Beijing China Beijing Key Laboratory of High Dynamic Navigation Technology Beijing China School of Aerospace Engineering Beijing Institute of Technology Beijing China Beijing Key Laboratory of Uav Autonomous Control Beijing Institute of Technology Beijing China

ISBN: (纸本)9798350303759

To enhance the destructive capabilities of small air-to-surface missiles, it is necessary to address the challenges related to terminal attack angle constraints and multi-missile coordinated attacks, we propose a cooperative guidance law with multi-constraint based on deep reinforcement learning in this paper. Firstly, an intelligent control term is introduced into the biased proportional navigation law with angle constraints. Secondly, a reward function is designed to reduce terminal attack angle error and flight time error, ensuring that the missile successfully reaches the target within the expected flight time, while simultaneously converging the attack angle to the desired value. Finally, the deep deterministic policy gradient algorithm is employed for the purpose of training and generating intelligent guidance instructions. Simulation results substantiate the efficacy of the devised guidance method in achieving accurate target strikes, both for individual missiles and in scenarios involving multiple missiles. And exhibiting better stability and guidance accuracy compared to the traditional biased proportional navigation law. © 2023 IEEE.

关键词： Reinforcement learning

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AN ADAPTIVE PAGE LEVEL ECC STRATEGY FOR MLC NAND FLASH BASED ON ERROR PREDICTION MODEL 9

AN ADAPTIVE PAGE LEVEL ECC STRATEGY FOR MLC NAND FLASH BASED...

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9th International Symposium on Test Automation and Instrumentation, ISTAI 2022

作者： Wei, Debao Song, Yu Li, Lin Han, Bingtong School of Electronics and Information Engineering Harbin Institute of Technology Harbin China Navigation and Control Technology Research Institute of Norinco Group Beijing China Beijing Institute of Radio Measurement Beijing China

ISBN: (纸本)9781839538391

The traditional method of high ability of ECC used when NAND flash in low P/E cycles state would cause the waste of computing process and storage space. To deal with this problem, the research in this paper aims at ECC integrated operation cost. This point based on the following two main theories: (1) the increasing trend of average BER with the retention time and the P/E cycles can be easily modelled;(2) the reliability of different pages in the block varies, and only a small part of the whole pages is poor. The main idea is: traditional FTL management algorithm completed wear equilibrium, but it ignored the reliability difference between different pages. For different pages with different erasure conditions, we choose adaptation strategies of ECC for each page, in that way, we can avoid waste of computing and redundant area consumption of OOB (out of band) caused by high error correcting ability of ECC. The experimental results show that the adaptive page level ECC strategy not only meet the requirements of the reliability, but also raise the efficiency of ECC encoding/decoding. The access time of ECC data of was reduced by 38.1%, and the area consumption of OOB decreased by 56.7%. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Reliability

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Research on Path Planning Algorithm Based on D∗ Search

Research on Path Planning Algorithm Based on D∗ Search

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2023 International Conference on Ocean Studies, ICOS 2023

作者： Leng, Jiajun Fu, Li Wang, Lingling Tang, Ning Laboratory of Science and Technology on Marine Navigation and Control China State Shipbuilding Corporation Beijing100036 China Tianjin Navigation Instruments Research Institute Tianjin300131 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Bauman Moscow State Technical University Moscow Department of Automatic Control Systems 105005 Russia

ISBN: (纸本)9798350382457

Path planning algorithms are current research hotspots. Heuristic algorithms that can solve dynamic environment problems are gradually becoming the mainstream research direction. The D∗ algorithm, as one of the new heuristic algorithms, has the advantages of being more computationally efficient than the A ∗ algorithm and being able to solve dynamic problems, and has played an important role in two-dimensional path planning projects such as the NASA Mars rover. But its theoretical research and practical application in 3D environment are very rare. In this context, this paper carries out an in-depth study of the path planning problem based on the D∗ algorithm, and completes the theoretical derivation and simulation process in 2D and 3D environments. In this paper, a complex random 2D map is established by random generation, and the simulation of D∗ algorithm is realized on the map with the help of Python language, which realizes the finding of the relative optimal path. Then, in order to study the feasibility of D∗ solving in 3D environment, the simulation of D∗ algorithm under 3D map is realized with the help of Python and Unity3d. The research results show that the simulation results are good, which is valuable for the theoretical research and practical application of heuristic algorithms, and plays a role in the application of robot path planning algorithms. © 2023 IEEE.

关键词： Python

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A Deep Reinforcement Learning-Based Guidance Law with Impact Angle Constraint

A Deep Reinforcement Learning-Based Guidance Law with Impact...

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2023 China Automation Congress, CAC 2023

作者： Wang, Xu Fan, Junfang Dou, Denghui Ji, Yi Li, Yafeng Wu, Jinmin School of Automation Beijing Information Science and Technology University Beijing China Beijing Key Laboratory of High Dynamic Navigation Technology Beijing China School of Aerospace Engineering Beijing Institute of Technology Beijing China Beijing Key Laboratory of Uav Autonomous Control Beijing Institute of Technology Beijing China

ISBN: (纸本)9798350303759

Addressing the challenge of ineffective impact angle control when employing conventional biased proportional navigation guidance for precision-guided missiles against maneuvering targets, this study proposes a guidance law with impact angle constraint by integrating deep reinforcement learning algorithms with biased proportional navigation guidance. The algorithm enhances traditional proportional navigation guidance by introducing a target maneuver compensation bias term. This bias term is treated as an action in a learning framework and optimized using the Proximal Policy Optimization algorithm. Simulation experiments validate that the proposed algorithm, compared to conventional proportional navigation guidance, not only reduces miss distance and impact angle error but also shortens flight time. © 2023 IEEE.

关键词： Reinforcement learning

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Anti-Windup Trajectory Optimization for High-Mass Mars Entry Vehicles 42

Anti-Windup Trajectory Optimization for High-Mass Mars Entry...

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42nd Chinese control Conference, CCC 2023

作者： Gu, Hena Dai, Shicong Liang, Zixuan School of Aerospace Engineering Beijing Institute of Technology Beijing100081 China Ministry of Industry and Information Technology Key Laboratory of Autonomous Navigation and Control for Deep Space Exploration Beijing100081 China Science and Technology on Space Physics Laboratory Beijing100076 China

ISBN: (纸本)9789887581543

A trajectory optimization method under complex disturbance is proposed for the future high-mass Mars entry vehicles. First, the dynamic model for the high-mass Mars entry vehicle with a supersonic inflatable aerodynamic decelerator (SIAD) is established. Then, an orthogonal array of three levels with four variables is used to consider the hybrid disturbances of the aerodynamic parameters, and a sensitivity formula is designed to quantify the sensitivity of the bank angle to the hybrid disturbances. With an anti-windup index based on the sensitivity formula and a terminal constraint index together, a comprehensive index is obtained to solve the anti-windup trajectory optimization problem. Finally, the anti-windup trajectory optimization method is simulated and compared with the traditional method. The results show that the proposed method can reduce the sensitivity of aerodynamic disturbance and improve the tracking performance of drag acceleration. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Aerodynamics

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A Distributed Cooperative Tracking Algorithm for the Interception of Small Patrol UAVs

A Distributed Cooperative Tracking Algorithm for the Interce...

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Chinese control Conference (CCC)

作者： Haorui Yang Yinghan Liu Jiawei Zhang Hui Wang Hanhui Xu School of Aerospace Engineering Beijing Institute of Technology Beijing China School of Automation Beijing Institute of Technology Beijing China Control Department Institute of Navigation and Control Technology Beijing

In this paper, a distributed cooperative tracking algorithm is proposed for the small patrol UA V target tracking problem. By setting up a sensor network to realize the communication between missile clusters, we introduce a weighted information fusion and distribution method for multiple sensor nodes. Meanwhile, a trajectory shaping guidance law is derived for the three-dimensional space maneuver target striking problem. In the scenario of multi-missile UA V target interception, the simulation of multi-missile tracking and the striking process is completed to achieve accurate estimation of target position, velocity, and acceleration. The effectiveness and superiority of this cooperative tracking algorithm are verified through extensive simulations and comparisons.

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Cascaded Compensation of Filter Phase Imperfections in Random Demodulation

Cascaded Compensation of Filter Phase Imperfections in Rando...

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International Conference on Electronic Measurement and Instruments, ICEMI

作者： Chenxi Bian Jingchao Zhang Lin Li Liyan Qiao Dept. Automatic Test and Control Harbin Institute of Technology Harbin China Navigation and Control Technology Research Institute of Norinco Group Beijing China

Analog-to-information converter (AIC) is an architecture that implements the compressive sensing (CS) theory and it is capable to generate compressed and digitized output directly from an analog input. Unfortunately, the hardware implementation of AIC inevitably faces the impact of non-ideal factors in the devices. The calibration link is crucial and can have a significant impact on the quality of the signal reconstruction at the back end of the AIC. Random Demodulation (RD) is one of the AICs with a simple structure, and its own structure and calibration link are relatively easy to implement. Low-pass filtering plays an important role in the RD analog acquisition process. In the back-end of the AIC, the impulse response of the low-pass filter in the time domain is constructed as part of the measurement matrix, which directly affects the accuracy of the signal reconstruction in the digital part of the AIC. Existing calibrations mostly focus on amplitude calibration, while the phase distortion of the low-pass filter reduces the accuracy of signal recovery in the RD, which is hardly considered in the calibrations of low-pass filters. To tackle this problem, a Cascaded compensation method of filter phase imperfections is designed, in which a specific all-pass filter is cascaded with the original phase distortion filter so that the phase of the cascaded filters is linear. Comparative simulation experiments were obtained for input signals with different sparsity. The results show that the Signal-to-Noise Ratio (SNR) is significantly improved by using the cascaded phase compensation method, which demonstrates that the proposed method is effective.

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