Academic literature on the topic 'Non-cooperative rendezvous'
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Journal articles on the topic "Non-cooperative rendezvous"
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.
Full textSASAKI, 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.
Full textXu, 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.
Full textZhang, 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.
Full textFehse, 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.
Full textVolpe, 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.
Full textWu, 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.
Full textZhu, 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.
Full textPomares, 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.
Full textGao, 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.
Full textDissertations / Theses on the topic "Non-cooperative rendezvous"
Comellini, Anthea. "Vision-based navigation for autonomous rendezvous with non-cooperative targets." Thesis, Toulouse, ISAE, 2021. http://depozit.isae.fr/theses/2021/2021_Comellini_Anthea.pdf.
Full textThe aim of this thesis is to propose a full vision-based solution to enable autonomousnavigation of a chaser spacecraft (S/C) during close-proximity operations in space rendezvous(RDV) with a non-cooperative target using a visible monocular camera.Autonomous rendezvous is a key capability to answer main challenges in space engineering,such as Active Debris Removal (ADR) and On-Orbit-Servicing (OOS). ADR aimsat removing the space debris, in low-Earth-orbit protected region, that are more likelyto lead to future collision and feed the Kessler syndrome, thus increasing the risk foroperative spacecrafts. OOS includes inspection, maintenance, repair, assembly, refuelingand life extension services to orbiting S/C or structures. During an autonomous RDVwith a non-cooperative target, i.e., a target that does not assist the chaser in acquisition,tracking and rendezvous operations, the chaser must estimate the target’s state on-boardautonomously. Autonomous RDV operations require accurate, up-to-date measurementsof the relative pose (i.e., position and attitude) of the target, and the combination ofcamera sensors with tracking algorithms can provide a cost effective solution.The research has been divided into three main studies: the development of an algorithmenabling the initial pose acquisition (i.e., the determination of the pose without any priorknowledge of the pose of the target at the previous instants), the development of a recursivetracking algorithm (i.e., an algorithm which exploits the information about thestate of the target at the previous instant to compute the pose update at the currentinstant), and the development of a navigation filter integrating the measurements comingfrom different sensor and/or algorithms, with different rates and delays.For what concerns the pose acquisition phase, a novel detection algorithm has been developedto enable fast pose initialization. An approach is proposed to fully retrieve theobject’s pose using a set of invariants and geometric moments (i.e., global features) computedusing the silhouette images of the target. Global features synthesize the content ofthe image in a vector of few descriptors which change values as a function of the targetrelative pose. A database of global features is pre-computed offline using the target geometricalmodel in order to cover all the solution space. At run-time, global features arecomputed on the current acquired image and compared with the database. Different setsof global features have been compared in order to select the more performing, resultingin a robust detection algorithm having a low computational load.Once an initial estimate of the pose is acquired, a recursive tracking algorithm is initialized.The algorithm relies on the detection and matching of the observed silhouettecontours with the 3D geometric model of the target, which is projected into the imageframe using the estimated pose at the previous instant. Then, the summation of the distances between each projected model points and the matched image points is written as a non-linear function of the unknown pose parameters. The minimization of this costfunction enables the estimation of the pose at the current instant. This algorithm providesfast and very accurate measurements of the relative pose of the target. However,as other recursive trackers, it is prone to divergence. Thus, the detection algorithm isrun in parallel to the tacker in order to provide corrected measurements in case of trackerdivergences. The measurements are then integrated into the chaser navigation filter to provide anoptimal and robust estimate. Vision-based navigation algorithms provide only pose measurements
Dutta, Atri. "Optimal cooperative and non-cooperative peer-to-peer maneuvers for refueling satellites in circular constellations." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/28082.
Full textCommittee Chair: Panagiotis Tsiotras; Committee Member: Eric Feron; Committee Member: Joseph Saleh; Committee Member: Ryan Russell; Committee Member: William Cook
Books on the topic "Non-cooperative rendezvous"
Orbit Determination for a Microsatellite Rendezvous with a Non- Cooperative Target. Storming Media, 2003.
Find full textSystems-Level Feasibility Analysis of a Microsatellite Rendezvous with Non-Cooperative Targets. Storming Media, 2004.
Find full textBook chapters on the topic "Non-cooperative rendezvous"
Hou, Mingdong, and Yingmin Jia. "Robust $$H_{\infty }$$ Control of Non-cooperative Rendezvous Based on $$\theta $$ -D Method." In Lecture Notes in Electrical Engineering, 221–35. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6496-8_21.
Full textHuang, Meiyi, and Zixuan Liang. "Approach Guidance for Rendezvous of Non-cooperative Targets Based on Onboard Trajectory Planning." In Lecture Notes in Electrical Engineering, 6206–16. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6613-2_599.
Full textLi, Qi, Shuo Song, Zhiqi Niu, QiuXiong Gou, and Xueping Wang. "Null-Space-Based Collaborative Guidance Strategy for Spacecraft Rendezvous and Docking with Non-cooperative Target." In Lecture Notes in Electrical Engineering, 4786–94. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6613-2_464.
Full textConference papers on the topic "Non-cooperative rendezvous"
de Mijolla, Leonore, Bruno Cavrois, Alexandre Profizi, Cédric Renault, and Alexandre Cropp. "Covariance Analysis Tool for Far Non-Cooperative Rendezvous." In AIAA Guidance, Navigation, and Control (GNC) Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-5118.
Full textDor, Mehregan, and Panagiotis Tsiotras. "ORB-SLAM Applied to Spacecraft Non-Cooperative Rendezvous." In 2018 Space Flight Mechanics Meeting. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-1963.
Full textDuan, Guangren, Xiuwei Huang, and Gang Xu. "Parameter identification of spacecraft rendezvous under non-cooperative case." In 2016 35th Chinese Control Conference (CCC). IEEE, 2016. http://dx.doi.org/10.1109/chicc.2016.7553691.
Full textLimin Xu, Tao Zhang, Huan Zhou, and Ming Li. "Relative orbit control method for non-cooperative maneuvering target rendezvous." In 2015 Chinese Automation Congress (CAC). IEEE, 2015. http://dx.doi.org/10.1109/cac.2015.7382775.
Full textPomares, Jorge, Leonard Felicetti, Javier Perez, and M. Reza Emami. "Spacecraft visual servoing with adaptive zooming for non-cooperative rendezvous." In 2018 IEEE Aerospace Conference. IEEE, 2018. http://dx.doi.org/10.1109/aero.2018.8396472.
Full textDuan, Guang-Ren. "Non-cooperative rendezvous and interception —A direct parametric control approach." In 2014 11th World Congress on Intelligent Control and Automation (WCICA). IEEE, 2014. http://dx.doi.org/10.1109/wcica.2014.7053297.
Full textComellini, Anthea, Emmanuel Zenou, Christine Espinosa, and Vincent Dubanchet. "Vision-based navigation for autonomous space rendezvous with non-cooperative targets." In 2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA). IEEE, 2020. http://dx.doi.org/10.1109/iisa50023.2020.9284383.
Full textRappasse, Clement, Nicolas Merlinge, Baptiste Agez, and Leonard Felicetti. "Multi-Disciplinary Design Optimization for Relative Navigation in Non-cooperative Rendezvous." In 2021 IEEE Aerospace Conference. IEEE, 2021. http://dx.doi.org/10.1109/aero50100.2021.9438413.
Full textMartinez, Javier, Karsten Thurn, and Martin Vossiek. "MIMO radar for supporting automated rendezvous maneuvers with non-cooperative satellites." In 2017 IEEE Radar Conference (RadarConf17). IEEE, 2017. http://dx.doi.org/10.1109/radar.2017.7944254.
Full textSharma, Sumant, Connor Beierle, and Simone D'Amico. "Pose estimation for non-cooperative spacecraft rendezvous using convolutional neural networks." In 2018 IEEE Aerospace Conference. IEEE, 2018. http://dx.doi.org/10.1109/aero.2018.8396425.
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