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Автор: Grafiati
Опубліковано: 14 березня 2023

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1

Li, Xuehui, Zhibin Zhu, and Shenmin Song. "Non-cooperative autonomous rendezvous and docking using artificial potentials and sliding mode control." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 4 (January 2, 2018): 1171–84. http://dx.doi.org/10.1177/0954410017748988.

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Анотація:
In this paper, the problem of autonomous rendezvous and docking with a non-cooperative target spacecraft is studied. A coupled translational and rotational dynamics of the spacecraft is used, where the rotation matrix is used to represent the attitude of spacecraft to overcome the drawbacks related to the unwinding. An asymptotically stable autonomous rendezvous and docking collision-free controller is proposed based on a novel designed sliding surface. Then, a new nonsingular terminal sliding surface is given, based on which the developed autonomous rendezvous and docking collision-free controller can make the tracking errors converge into a small bounded area near the origin in a finite time. Using artificial potential function and virtual obstacles model established based on cissoid, both controllers ensure the chaser spacecraft strictly remains in the safety area to avoid the collision with the target spacecraft. The effectiveness of the proposed controllers is demonstrated by numerical simulation.
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2

SASAKI, Takahiro, Yu NAKAJIMA, and Toru YAMAMOTO. "Proximity Approaches and Design Strategies for Non-Cooperative Rendezvous." TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES 64, no. 3 (2021): 136–46. http://dx.doi.org/10.2322/tjsass.64.136.

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3

Xu, Wenfu, Bin Liang, Cheng Li, and Yangsheng Xu. "Autonomous rendezvous and robotic capturing of non-cooperative target in space." Robotica 28, no. 5 (August 27, 2009): 705–18. http://dx.doi.org/10.1017/s0263574709990397.

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SUMMARYThe technologies of autonomous rendezvous and robotic capturing of non-cooperative targets are very crucial for the future on-orbital service. In this paper, we proposed a method to achieve this aim. Three problems were addressed: the target recognition and pose (position and attitude) measurement based on the stereo vision, the guidance, navigation and control (GNC) of the chaser, and the coordinated plan and control of space robot (CP&C). The pose measurement algorithm includes image filtering, edge detection, line extraction, stereo match and pose computing, et al. Based on the measured values, a certain GNC algorithm was designed for the chaser to approach and rendezvous with the target. Then the CP&C algorithm, which is proved to be advantageous over the traditional separated method, was used to plan and track the trajectories of the base pose and the joint angle. At last, a 3D simulation system was developed to evaluate the proposed method. Simulation results verified the corresponding algorithms.
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4

Zhang, Limin, Feng Zhu, Yingming Hao, and Wang Pan. "Rectangular-structure-based pose estimation method for non-cooperative rendezvous." Applied Optics 57, no. 21 (July 19, 2018): 6164. http://dx.doi.org/10.1364/ao.57.006164.

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5

Fehse, Wigbert. "Rendezvous with and Capture / Removal of Non-Cooperative Bodies in Orbit." Journal of Space Safety Engineering 1, no. 1 (June 2014): 17–27. http://dx.doi.org/10.1016/s2468-8967(16)30068-4.

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6

Volpe, Renato, and Christian Circi. "Optical-aided, autonomous and optimal space rendezvous with a non-cooperative target." Acta Astronautica 157 (April 2019): 528–40. http://dx.doi.org/10.1016/j.actaastro.2019.01.020.

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7

Wu, Shu-Nan, Wen-Ya Zhou, Shu-Jun Tan, and Guo-Qiang Wu. "RobustH∞Control for Spacecraft Rendezvous with a Noncooperative Target." Scientific World Journal 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/579703.

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Анотація:
The robustH∞control for spacecraft rendezvous with a noncooperative target is addressed in this paper. The relative motion of chaser and noncooperative target is firstly modeled as the uncertain system, which contains uncertain orbit parameter and mass. Then theH∞performance and finite time performance are proposed, and a robustH∞controller is developed to drive the chaser to rendezvous with the non-cooperative target in the presence of control input saturation, measurement error, and thrust error. The linear matrix inequality technology is used to derive the sufficient condition of the proposed controller. An illustrative example is finally provided to demonstrate the effectiveness of the controller.
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8

Zhu, Xiaoyu, Junli Chen, and Zheng H. Zhu. "Adaptive sliding mode disturbance observer-based control for rendezvous with non-cooperative spacecraft." Acta Astronautica 183 (June 2021): 59–74. http://dx.doi.org/10.1016/j.actaastro.2021.03.005.

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9

Pomares, Jorge, Leonard Felicetti, Javier Pérez, and M. Reza Emami. "Concurrent image-based visual servoing with adaptive zooming for non-cooperative rendezvous maneuvers." Advances in Space Research 61, no. 3 (February 2018): 862–78. http://dx.doi.org/10.1016/j.asr.2017.10.054.

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10

Gao, Dengwei, Jianjun Luo, Weihua Ma, and Brendan Englot. "Parameterized nonlinear suboptimal control for tracking and rendezvous with a non-cooperative target." Aerospace Science and Technology 87 (April 2019): 15–24. http://dx.doi.org/10.1016/j.ast.2019.01.044.

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11

Li, Kecen, Haopeng Zhang, and Chenyu Hu. "Learning-Based Pose Estimation of Non-Cooperative Spacecrafts with Uncertainty Prediction." Aerospace 9, no. 10 (October 11, 2022): 592. http://dx.doi.org/10.3390/aerospace9100592.

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Анотація:
Estimation of spacecraft pose is essential for many space missions, such as formation flying, rendezvous, docking, repair, and space debris removal. We propose a learning-based method with uncertainty prediction to estimate the pose of a spacecraft from a monocular image. We first used a spacecraft detection network (SDN) to crop out the rectangular area in the original image where only spacecraft exist. A keypoint detection network (KDN) was then used to detect 11 pre-selected keypoints with obvious features from the cropped image and predict uncertainty. We propose a keypoints selection strategy to automatically select keypoints with higher detection accuracy from all detected keypoints. These selective keypoints were used to estimate the 6D pose of the spacecraft with the EPnP algorithm. We evaluated our method on the SPEED dataset. The experiments showed that our method outperforms heatmap-based and regression-based methods, and our effective uncertainty prediction can increase the final precision of the pose estimation.
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12

Li, Jie, Yiqi Zhuang, Qi Peng, and Liang Zhao. "Pose Estimation of Non-Cooperative Space Targets Based on Cross-Source Point Cloud Fusion." Remote Sensing 13, no. 21 (October 22, 2021): 4239. http://dx.doi.org/10.3390/rs13214239.

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Анотація:
On-orbit space technology is used for tasks such as the relative navigation of non-cooperative targets, rendezvous and docking, on-orbit assembly, and space debris removal. In particular, the pose estimation of space non-cooperative targets is a prerequisite for studying these applications. The capabilities of a single sensor are limited, making it difficult to achieve high accuracy in the measurement range. Against this backdrop, a non-cooperative target pose measurement system fused with multi-source sensors was designed in this study. First, a cross-source point cloud fusion algorithm was developed. This algorithm uses the unified and simplified expression of geometric elements in conformal geometry algebra, breaks the traditional point-to-point correspondence, and constructs matching relationships between points and spheres. Next, for the fused point cloud, we proposed a plane clustering-method-based CGA to eliminate point cloud diffusion and then reconstruct the 3D contour model. Finally, we used a twistor along with the Clohessy–Wiltshire equation to obtain the posture and other motion parameters of the non-cooperative target through the unscented Kalman filter. In both the numerical simulations and the semi-physical experiments, the proposed measurement system met the requirements for non-cooperative target measurement accuracy, and the estimation error of the angle of the rotating spindle was 30% lower than that of other, previously studied methods. The proposed cross-source point cloud fusion algorithm can achieve high registration accuracy for point clouds with different densities and small overlap rates.
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13

Huang, Cheng, Tianzeng Cao, and Jinglin Huang. "Autonomous Control of the Large-Angle Spacecraft Maneuvers in a Non-Cooperative Mission." Sensors 22, no. 22 (November 8, 2022): 8586. http://dx.doi.org/10.3390/s22228586.

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Анотація:
Aiming at the large-angle maneuver control problem of tracking spacecraft attitude in non-cooperative target rendezvous and proximity tasks, under the condition that the target spacecraft attitude information is unknown and the actuator output has physical limitations, a limited-time autonomous control method is proposed. First, an end-to-end pose estimation network is designed based on adaptive dual-channel feature extraction and dual attention. The information around the target is obtained through the adaptive dual-channel feature extraction module. The addition of spatial attention and channel attention allows the network to learn the target’s characteristics more accurately. Secondly, based on the improved adaptive update law, a finite-time saturation controller is designed using the hyperbolic tangent function and the auxiliary system. The hyperbolic tangent function can strictly ensure that the control torque of the control system is bounded. Finally, the simulation results show that the proposed autonomous control method can accurately estimate the attitude of the non-cooperative target spacecraft and can maneuver to the target attitude within 20 s under the condition that the actuator’s output is physically limited.
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14

Zhang, Dayu, Jianjun Luo, Dengwei Gao, Weihua Ma, and Jianping Yuan. "A novel nonlinear control for tracking and rendezvous with a rotating non-cooperative target with translational maneuver." Acta Astronautica 138 (September 2017): 276–89. http://dx.doi.org/10.1016/j.actaastro.2017.05.026.

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15

Chen, Zhiming, Lei Li, Yunhua Wu, Bing Hua, and Kang Niu. "A new pose estimation method for non-cooperative spacecraft based on point cloud." International Journal of Intelligent Computing and Cybernetics 12, no. 1 (February 28, 2019): 23–41. http://dx.doi.org/10.1108/ijicc-03-2018-0036.

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Анотація:
Purpose On-orbit service technology is one of the key technologies of space manipulation activities such as spacecraft life extension, fault spacecraft capture, on-orbit debris removal and so on. It is known that the failure satellites, space debris and enemy spacecrafts in space are almost all non-cooperative targets. Relatively accurate pose estimation is critical to spatial operations, but also a recognized technical difficulty because of the undefined prior information of non-cooperative targets. With the rapid development of laser radar, the application of laser scanning equipment is increasing in the measurement of non-cooperative targets. It is necessary to research a new pose estimation method for non-cooperative targets based on 3D point cloud. The paper aims to discuss these issues. Design/methodology/approach In this paper, a method based on the inherent characteristics of a spacecraft is proposed for estimating the pose (position and attitude) of the spatial non-cooperative target. First, we need to preprocess the obtained point cloud to reduce noise and improve the quality of data. Second, according to the features of the satellite, a recognition system used for non-cooperative measurement is designed. The components which are common in the configuration of satellite are chosen as the recognized object. Finally, based on the identified object, the ICP algorithm is used to calculate the pose between two frames of point cloud in different times to finish pose estimation. Findings The new method enhances the matching speed and improves the accuracy of pose estimation compared with traditional methods by reducing the number of matching points. The recognition of components on non-cooperative spacecraft directly contributes to the space docking, on-orbit capture and relative navigation. Research limitations/implications Limited to the measurement distance of the laser radar, this paper considers the pose estimation for non-cooperative spacecraft in the close range. Practical implications The pose estimation method for non-cooperative spacecraft in this paper is mainly applied to close proximity space operations such as final rendezvous phase of spacecraft or ultra-close approaching phase of target capture. The system can recognize components needed to be capture and provide the relative pose of non-cooperative spacecraft. The method in this paper is more robust compared with the traditional single component recognition method and overall matching method when scanning of laser radar is not complete or the components are blocked. Originality/value This paper introduces a new pose estimation method for non-cooperative spacecraft based on point cloud. The experimental results show that the proposed method can effectively identify the features of non-cooperative targets and track their position and attitude. The method is robust to the noise and greatly improves the speed of pose estimation while guarantee the accuracy.
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16

Tu, Da Wei, Xu Zhang, Kai Fei, and Xi Zhang. "Laser Stereo Vision-Based Position and Attitude Detection of Non-Cooperative Target for Space Application." Advanced Materials Research 1039 (October 2014): 242–50. http://dx.doi.org/10.4028/www.scientific.net/amr.1039.242.

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Анотація:
Vision measurement for non-cooperative targets in space is an essential technique in space counterwork, fragment disposal, satellite on-orbit service, spacecraft rendezvous, because the position and attitude of the target aircraft or the object should be detected first of all in the process. The 2D passive camera loses the depth information and can not measure the position and attitude of non-cooperative target. Several kinds of range imaging methods are alternatives. The traditional triangulation method can provide very high precision range measurement at close range but the nature of the triangulation geometry means that the uncertainty grows when the range increases. Laser radar (LIDAR) based on TOF (time of flight) or phase difference principle is suitable for middle and long range, but it can not fit for short range. A novel structure system is put forward, in which a so-called synchronous scanning triangulation method is adopted combining a LIDAR system. The synchronous scanning triangulation system plays a role at the range from 0.5m to 10m for object’s attitude, and the LIDAR system plays a role at the range from 10m to 200m for object’s position (direction and range).They are merged into one path, and do not influence each other because of using two different wavelengths respectively. This mechanism makes the system more compact and less weight. The system performances, such as the measurement range and precision, are analyzed according to the system parameters. The principle prototype is designed and established, and the experimental results confirm that its performance is promising and can satisfy the requirement for space application.
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17

Vasylyev, V. V., L. A. Godunok, V. A. Volkov, S. V. Melnychuk, S. V. Derkach, and A. V. Somov. "On the construction of an adaptable system of mutual measurements for autonomous rendezvous of spacecrafts with non-cooperative space objects." Kosmìčna nauka ì tehnologìâ 26, no. 3 (2020): 42–54. http://dx.doi.org/10.15407/knit2020.03.042.

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18

Tian, Xiwen, and Yingmin Jia. "Analytical solutions to the matrix inequalities in the ILF control-observer scheme for non-cooperative rendezvous with unknown inertia parameters." International Journal of Control 93, no. 3 (June 24, 2018): 541–53. http://dx.doi.org/10.1080/00207179.2018.1479775.

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19

Comellini, Anthea, Jerome Le Ny, Emmanuel Zenou, Christine Espinosa, and Vincent Dubanchet. "Global Descriptors for Visual Pose Estimation of a Non-Cooperative Target in Space Rendezvous." IEEE Transactions on Aerospace and Electronic Systems, 2021, 1. http://dx.doi.org/10.1109/taes.2021.3086888.

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20

Du, Ronghua, Wenhe Liao, and Xiang Zhang. "Angles-Only Navigation Algorithm with Multi-Sensor Data Fusion for Spacecraft Non-Cooperative Rendezvous." SSRN Electronic Journal, 2022. http://dx.doi.org/10.2139/ssrn.4057047.

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