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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Zhang, Jinxu Shi, Liheng Gu, Yingying Zhang, Donglai Yin, Lu Wu, Guanhao Tsinghua University State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision Instrument Beijing100084 China Beijing Institute of Control Engineering Space Optoelectronic Measurement and Perception Lab. Beijing100190 China China Academy of Space Technology National Key Laboratory of Space Intelligent Control Beijing100094 China

We present a one-shot 3D spectral interferometry technique using a digital micromirror device. By encoding the distribution of the spatial light field, this approach enables 3D imaging of step structures within 27 ms.... 详细信息

ISBN: (纸本)9798350372076

关键词： Interferometry

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Image motion and experimental study of a 0.1″space pointing measuring instrument for micro-vibration conditions

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Chinese Journal of Aeronautics 2023年第2期36卷 191-200页

作者： Lin LI Li YUAN Li WANG Miaomiao WANG Xiaoxue GONG Jie SUI Yanpeng WU Ran ZHENG Space Optoelectronic Measurement and Perception Lab. Beijing Institute of Control EngineeringBeijing 100190China China Academy of Space Technology Beijing 100094China Science and Technology on Space Intelligent Control Laboratory Beijing 100094China University of Chinese Academy of Sciences Beijing 100049China Changchun Institute of Optics Fine Mechanics and PhysicsChinese Academy of SciencesChangchun 130033China Chang Guang Satellite Technology Co. Ltd.Changchun130102China

There exists an increasing need for Milli-Arc-Seconds(MAS)accuracy pointing measurement for current and future space *** meet the 0.1″space pointing measurement accuracy requirements of spacecraft in future,the influence of spacecraft micro-vibration on a 0.1″space Pointing Measuring Instrument(SPMI)is studied.A Quasi-Zero Stiffness Device(QZSD)with adaptive adjustment and variable stroke was ***,a series of micro-vibration experiments of the SPMI were carried *** influence of the micro-vibration generated by Guidance Navigation control(GNC)attitude control components under different attitudes on the SPMI was *** spread function of image motion in micro-vibration was also ***,the changes of image motion under the micro-vibration environment were evaluated by extracting the gray centroid of the images,and the experiment processes and results are deeply *** results show that the firstorder frequency of the QZSD system is 0.114 Hz,and it is induced by a double pendulum system;the image motion of single flywheel spinning reached 0.015 pixels;whilst the image motion reached 0.03 pixels when three flywheels are combined *** latest findings provide a beneficial theoretical and technical support for the development of spacecraft with 0·1″pointing accuracy.

关键词： Image motion Micro-vibration Milli-arc-seconds Quasi-zero stiffness device space pointing measuring instrument

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Lightweight recognition method of infrared sensor image based on deep learning method 24

Lightweight recognition method of infrared sensor image base...

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8th International Conference on control engineering and Artificial Intelligence, CCEAI 2024

作者： Ren, Ze Tian, Xinling Qin, Guan Zhou, Dongdong China Energy Group International Engineering Consulting Co. Ltd. Beijing China Optoelectronics Business Department Beijing Institute of Control Engineerin Beijing100190 China Optoelectronic Measurement and Intelligent Perception Zhongguancun Open Lab Space Optoelectronic Measurement and Perception Lab Beijing Institute of Control Engineering Beijing100190 China Collaborative Innovation Center of Steel Technology University of Science and Technology Beijing 30 Xueyuan Road Haidian District Beijing100083 China

ISBN: (纸本)9798400707971

space infrared sensors have become the "eyes"of space activities, there is currently no established identification method applied to the embedded deployment of space infrared sensor, despite it being a crucial device for aerospace detection due to the influence of deep learning target detection model embedded deployment difficulty, large sample demand, model parameter weight, low computing efficiency, and other factors. In this paper, the YOLOv5 detection model's network structure and activation function are lightened up. Next, the algorithm model's adaptive learning rate optimization algorithm is used to build the lightened-up YOLOv5 infrared image target recognition model. And the image samples were preprocessed with the intention of addressing the poor image quality brought on by background interference and multi-pose acquisition. Then, a method of sample amplification is suggested in light of the issues with the deep learning model. Consequently, the deep learning lightweight model applied in this study is one-third smaller than the conventional model, which dramatically increases target detection speed without significantly lowering detection rate. In addition to investigates ideas for the embedded deployment and recognition of infrared images in small sample space. © 2024 ACM.

关键词： Deep learning

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A Method for Constructing a Multi-Sensor measurement Simulation Platform for Three-Dimensional Reconstruction of Spatial Targets

A Method for Constructing a Multi-Sensor Measurement Simulat...

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Computer Vision, Image and Deep Learning (CVIDL), International Conference on

作者： Dayong Lin Chunhui Zhao Sichang Yan Anran Wang Space Optoelectronic Measurement and Perception Lab Beijing Institute of Control Engineering Beijing China

ISBN: (数字)9798350373820

ISBN: (纸本)9798350373837

Research related to current spatial targets commonly faces difficulties in obtaining real spatial data and high costs. A simulation platform for three-dimensional reconstruction of spatial targets based on Blender and Blensor was built to address this issue. A multi-angle acquisition process was designed to control the camera and LiDAR to surround the target with material information at set distances and angles for data collection. Additionally, light sources and a black background were added to simulate sunlight and the space environment. Visualized experimental results demonstrate high quality images and point clouds generated by the platform simulation. Quantitative experimental results further indicate that rendered images accurately depict the specular reflection characteristics present on the surface of spatial targets, showing it an efficient simulation of actual data collection.

关键词： Point cloud compression Surface reconstruction Laser radar Data visualization Data collection Cameras Reflection

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Continual Unsupervised Domain Adaptation for Bearing Fault Diagnosis Under Variable Working Conditions 6th

Continual Unsupervised Domain Adaptation for Bearing Fault D...

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6th International Conference on Electrical engineering and Information Technologies for Rail Transportation, EITRT 2023

作者： Chen, Bojian Shen, Changqing Li, Lin Shi, Juanjuan Huang, Weiguo Zhu, Zhongkui School of Rail Transportation Soochow University Suzhou215000 China Intelligent Urban Rail Engineering Research Center of Jiangsu Province Suzhou215131 China Space Optoelectronic Measurement and Perception Lab Beijing Institute of Control Engineering Beijing100190 China

ISBN: (纸本)9789819993109

Unsupervised domain adaptation (UDA)-based fault diagnosis models have been intensively studied. UDA focuses on establishing a model that can transfer knowledge from one or more source domains with labeled data to help learn a target domain with unlabeled data. However, in the field of fault diagnosis, an obvious drawback is that UDA ignores the case of multiple target domains. In real scenarios, fault data are distributed in a continuous flow of constantly generated information due to variable working conditions. The collected unlabeled data may be in different domains, resulting in an increase in the number of target domains, which is called domain increments. Continual unsupervised domain adaptation (CUDA), which combines continual learning (CL) and UDA, is proposed to address the problem of domain increments. CL aims to create a deep learning (DL) model that can learn in dynamic environments, similar to humans. The core of CL is to prevent DL from catastrophic forgetting. In this paper, a CUDA fault diagnosis (CUDAFD) method is proposed for bearing fault diagnosis under variable working conditions. In CUDAFD, the maximum mean discrepancy is used to continually adapt the model to new domains, and the idea of prototype learning is introduced to overcome the catastrophic forgetting. Finally, CUDAFD is applied to a diagnosis case of domain increments to verify its effect. © beijing Paike Culture Commu. Co., Ltd. 2024.

关键词： Failure analysis

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FWIB: Fuzzy Weighted Iterative Bayes Algorithm 7

FWIB: Fuzzy Weighted Iterative Bayes Algorithm

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7th International Conference on Intelligent Computing and Signal Processing, ICSP 2022

作者： Wang, Tianhan Zhang, Weidong Lin, Dayong Beijing Institute of Technology School of Information and Electronics Beijing China Beijing Institute of Control Engineering Space Optoelectronic Measurement and Perception Lab Beijing China

ISBN: (纸本)9781665478571

Within the theoretical framework of Naive Bayes(NB), Iterative Bayes(IB), as an important variant, was proposed to alleviate the attribute interdependence problem based on output adjustment technique and shows certain performance enhancement. However, like NB, IB also suffers from biased classification and poor robustness against noise on class imbalanced data. To address these problems, cost-sensitive learning is introduced, and by assigning fuzzy-membership values to training data, we propose a class of Fuzzy Weighted Iterative Bayes algorithms (FWIB-CE, FWIB-HE, FWIB-CL-HL) to integrate more prior information from the sample distribution. The experimental results on ten typical imbalanced datasets show our methods have significant outperformance over NB and IB under G-mean evaluation in classification and have higher robustness against noise interference. © 2022 IEEE.

关键词： Classification (of information)

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Recent advances in precision measurement & pointing control of spacecraft

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Chinese Journal of Aeronautics 2021年第10期34卷 191-209页

作者： Lin LI Li YUAN Li WANG Ran ZHENG Yanpeng WU Xiaoyan WANG Space Optoelectronic Measurement and Perception Lab. Beijing Institute of Control EngineeringBeijing 100190China Science and Technology on Space Intelligent Control Laboratory Beijing 100094China China Academy of Space Technology Beijing 100094China

There exists an increasing need for precision measurement&pointing control and extreme motion stability for current and future space systems,e.g.,Ultra-Performance spacecraft(UPS).Some notable technologies of realizing Ultra-Pointing(UP)ability have been developed particularly for Ultra-accuracy Ultra-stability Ultra-agility(3 U)spacecraft over recent ***,Multilevel Compound Pointing control Techniques(MCPCTs)are deployed in aerospace engineering,especially in astronomical observation satellites and Earth observation *** controllers and/or algorithms,which are a key factor of MCPCTs for 3 U spacecraft,especially the jitter phenomena that commonly exist in a UPS Pointing control System(PCS),have also been effectively used in some UP spacecraft for a number of ***-vibration suppression approaches,however,are often proposed to deal with low-level mechanical vibration or disturbance in the microgravity environment that is common for *** latter approach potentially is one of the most practical UP techniques for 3 U *** emerging advanced Disturbance-Free Payload(DFP)satellites that exploit the benefits of non-contact actuators have also been reported in the *** represents an interesting and highly promising approach for solving some challenging problems in the *** paper serves as a state-of-the-art review of UP technologies and/or methods which have been developed,mainly over the last decade,specifically for or potentially could be used for 3 U spacecraft pointing *** problems discussed in this paper are of reference significance to UPS and millisecond optical sensors,which are involved in Gaofeng Project,deep space exploration,manned space flight,and gravitational wave detection.

关键词： Disturbance-free payload Micro-vibration suppression Modern controllers or algorithms Pointingcontrol system Ultra-performance spacecraft

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FPGA Based High Throughput LK Optical Flow Acceleration Design 3

FPGA Based High Throughput LK Optical Flow Acceleration Desi...

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3rd International Conference on Electronic Information engineering and Data Processing, EIEDP 2024

作者： Liang, Wei Sun, Ting Xing, Fei Dong, Xinran Xiao, Heng Li, Lin School of Instrument Science and Opto-Electronics Engineering Beijing Information Science and Technology University Beijing100192 China Department of Precision Instrument Tsinghua University Beijing100084 China Space Optoelectronic Measurement and Perception Lab. Beijing Institute of Control Engineering Beijing100190 China

ISBN: (纸本)9781510680531

In the field of machine vision, algorithms for estimating optical flow in sequential images have been proposed for many years. However, due to the advancements in image resolution and video frame rates of sensor, the optical flow algorithm running on a CPU or a GPU may struggle to meet real-time processing and low power consumption requirements. This paper presents an FPGA-based accelerated method for high-speed LK optical flow estimation. We implemented a serial input and multi-window output buffer structure to enhance the algorithm's parallel processing capability and improve processing speed. Additionally, we designed a multi-clock convolution structure to reduce resource consumption. Tested on the Middlebury dataset, the FPGA-based LK optical flow algorithm developed in this paper can achieve a processing speed of 330 frames per second for image sequences with a resolution of 640x480. It also maintains a relatively high level of accuracy and has low power consumption. © 2024 SPIE.

关键词： Optical flows

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Design and technology review of the solar X-ray detector onboard the Macao Science Satellite-1B

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Science China(Technological Sciences) 2024年第11期67卷 3365-3380页

作者： ZUO FuChang SHI YongQiang CHEN JianWu ZHANG XiaoPing FU WeiChun CHANG Ye GAI FangQin LIU SiYuan XIONG Yan ZHANG HaiLi SUN Yan WANG Li ZHENG Ran LI LianSheng MEI ZhiWu HUANG He ZHA GangQiang ZHANG KeKe Space Optoelectronic Measurement and Perception Lab. Beijing Institute of Control EngineeringBeijing 100190China State Key Laboratory of Lunar and Planetary Sciences Macao University of Science and TechnologyMacao 999078China School of Astronautics Northwestern Polytechnical UniversityXi’an 710072China Key Laboratory of Radiation Detection Materials and Devices Northwestern Polytechnical UniversityXi’an 710072China Research and Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen 518063China

On May 21,2023,the Macao Science Satellite-1B(MSS-1B),a low-inclination,low-latitude,and high-precision scientific exploration satellite for geomagnetic fields and space environments,was successfully *** solar X-ray detector(SXD),one of the two major scientific payloads onboard the MSS-1B,has obtained a large amount of solar X-ray radiation data,which reveals the distribution law of the magnetic field in the low Earth orbit,as well as the coupling law of the Earth's magnetic field and the solar radiation and energy particle ***,the overall design of the multi-detection-unit,broad-energy-range,small-volume,and low-power SXD was implemented to achieve the scientific objectives of the ***,the technical indicators of the instrument were decomposed into various components,and the key technologies,such as collimator,processing circuit,thermal,and payload dataset designs,were ***,the backgrounds,including electronic noise,cosmic diffuse X-ray background,and high-energy background in the Earth's radiation belts in and out of the field of view,were analyzed for the ***,the ground calibrations of the energy response,detection efficiency,and temperature-dependent peak drift of the SXD flight model were ***,the in-orbit temperature,energy spectrum data,background,and solar flare process observation of the instrument in the in-orbit test stage are presented,verifying the instrument design,analysis,and ground calibration,providing a foundation for obtaining accurate solar X-ray radiation data,and achieving the scientific objectives of the satellite.

关键词： Macao Science Satellite-1B solar X-ray detector design and development solar flare technology review

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Design and in-orbit application of multi-head star sensor

Design and in-orbit application of multi-head star sensor

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Image Processing and Media Computing (ICIPMC), International Conference on

作者： Cheng Huiyan Zheng Ran Sui Jie Zhang Tengfei Space Optoelectronic Measurement and Perception Lab Beijing Institute of Control Engineering Beijing China

Star sensor is a widely used astrometric sensor, which is one of the important attitude sensors in spacecraft control systems. The multi-head star senor is the first sub-arc-second star sensor in-orbit. The key design and distinct characteristic are proposed, the consistency between orbit result and ground test is analyzed based on orbit and ground data. The result in orbit show that single head precision is higher than $1''$ (30), and the fusion accuracy based on multi-head is better than $0.6 ''$ $(3\sigma)$ the optical-axis angle error is lower than $2''$, the SEA(sun excluded angle) is better than 26°. The star sensor can be used to military remote sensing satellite, astro observation with high precision and space science platform.

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