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Autonomous guidance and control of Earth-orbiting formation flying spacecraft: Closing the loop
Institution:1. Aerospace Information Research Institute, Chinese Academy of Sciences, 9 Dengzhuang South Road, Haidian District, Beijing 100094, China;2. University of Chinese Academy of Sciences, 19A Yuquan Road, Shijingshan District, Beijing 100049, China;3. School of Aeronautics and Astronautics, Sun Yat-sen University, Shenzhen 518000, China;4. German Aerospace Center (DLR), Institute for Solar-Terrestrial Physics, Kalkhorstweg 53, 17235 Neustrelitz, Germany;1. Department of Physics, Analysis and Treatment of Electrical and Energy Systems Unit, Faculty of Sciences of Tunis El Manar, PB 2092, Belvedere, Tunisia;2. Information System Department, FCIT, King Abdulaziz University, Jeddah, Saudi Arabia;3. Electrical Engineering Department, Federal University of Espiritu Santo, Brazil;1. Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh;2. Scuola Superiore Sant''Anna, Pisa, Italy;1. Department of Mechanical Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, Republic of Korea;2. School of Aeronautics and Astronautics, Purdue University, West Lafayette, IN, 47906, United States
Abstract:Previous work on autonomous formation flying guidance and control identified three key challenges to overcome in order to obtain a fully autonomous guidance and control loop: an accurate but simple model of relative motion about elliptical and perturbed orbits, an efficient way of performing conflicting requirements trade-off with power-limited on-board computers, and finally an optimal or near-optimal control algorithm easy to implement on a flight computer. This paper first summarizes recent developments on each of these subject that help to overcome these challenges, developments which are then used as building blocks for an autonomous formation flying guidance and control system. This system autonomously performs trade-offs between conflicting requirements, i.e. minimization of fuel cost, formation accuracy and equal repartition of the fuel expenditure within the formation. Simulation results show that a complete guidance and control loop can be established using mainly analytical results and with very few numerical optimization which facilitates on-board implementation.
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