Advances in Dynamics and Control of Micro/Nano Satellites
The Science Partner Journal Space: Science and Technology presents a special issue on Advances in Dynamics and Control of Micro/Nano Satellites.
With the advent of the commercial aerospace era and recent advances in reduced-size electronics, computational power, and faster signal processing, it has become possible to afford micro/nano satellite to provide enhanced autonomy, intelligence, distributed control, and situation awareness. Micro/nano satellites have played an irreplaceable role in civil and military areas. Dynamics and control are the key of any micro/nano satellite. Without them, micro/nano satellites would have no autonomy. However, since low performance sensors and actuators are widely used in micro/nano satellites, their measurement data have low accuracy, some states may be unmeasurable, or the model of micro/nano satellite cannot be precisely established. This will deteriorate the control performance. Associated with solving this problem, issues related to control, guidance, and navigation receive enhanced attention both in aerospace engineering and research domains. The primary objective of this special issue is to provide a forum for both theoreticians and practitioners to exchange their latest achievements and identify critical issues and challenges for further investigation in the aerospace dynamics and control field. We are seeking papers that highlight developments in aerospace dynamics and control sub-areas including avionics design (e.g., sensors and aerospace electronics), processing (e.g., signal processing and situation awareness), coordination (e.g., communications and navigation), and control (e.g., modelling and swarm control) as well as comprehensive surveys of those sub-areas. Topics include, but are not limited to, the following research directions in aerospace mechatronics.
- Advances in dynamic modelling of micro/nano satellites and its swarm
- Recent work in state estimation or filtering of micro/nano satellites
- Advances in orbit and attitude control of micro/nano satellites
- Learning-based guidance and navigation of micro/nano satellites
- Modern health management of micro/nano satellites
- Software, sensor, actuator for micro/nano satellites
- Optimization and decision-making methods of micro/nano satellites
- Other advances in dynamics and control of unmanned systems
Xiaoqian Chen received M.Sc. and Ph.D. degrees in aerospace engineering from the National University of Defense Technology, Changsha, China, in 1997 and 2001, respectively. From 2002 to 2016, he was a professor with the National University of Defense Technology, Changsha, China. Since 2017, he has been a professor with the National Institute Innovation of Defense Technology, Beijing, China. He has been elected as an academician of the International Academy of Astronautics (IAA), a member of the International Astronautical Federation (IAF), and a member of the robotics committee of the Chinese Society of Astronautics. Dr. Chen has published more than 200 journal and conference papers. His research interests include spacecraft systems engineering, advanced digital design methods of space systems, and multidisciplinary design optimization.
Lu Cao received B.S., M.S., and Ph.D. degrees in navigation, guidance, and control of spacecraft from the National University of Defense Technology, Changsha, China, in 2007, 2010, and 2014, respectively. From 2013 to 2014, he was a visiting Ph.D. student with the Department of Mechanical Engineering, McGill University, Canada. From 2014 to 2017, he was a senior engineer of the State Key Laboratory of Astronautic Dynamics, China Xi'an Satellite Control Center, China. Since 2018, he has been an associate research fellow with the National Innovation Institute of Defense Technology, Beijing, China. He has more than ten years’ engineering experience in nanosatellite, and designed attitude determination and control systems for eight in-orbital micro/nano satellites. His research interests include the areas of satellite navigation, control and dynamics, and state estimation.
Table of Contents
Bing Hua, Guang Yang, Yunhua Wu, Zhiming Chen
Space: Science & Technology, vol. 2022, Article ID 9898147, 13 pages, 2022
Yongjie Liu, Yu Jiang, Hengnian Li
Space: Science & Technology, vol. 2022, Article ID 9825763, 17 pages, 2022
Lin Chen, Xiaoyu Fu, Santos Ramil, Ming Xu
Space: Science & Technology, vol. 2022, Article ID 9831270, 12 pages, 2022
Jinguo Liu, Pengyuan Zhao, Keli Chen, Xin Zhang, Xiang Zhang
Space: Science & Technology, vol. 2022, Article ID 9894604, 14 pages, 2022
Wenshan Zhu, Jinzhen Mu, Changbao Shao, Jiaqian Hu, Beichao Wang, Zhongkai Wen, Fei Han, Shuang Li
Space: Science & Technology, vol. 2022, Article ID 9763198, 18 pages, 2022
Xiwei Wu, Bing Xiao, Cihang Wu, Yiming Guo
Space: Science & Technology, vol. 2022, Article ID 9802195, 10 pages, 2022
Baojian Yang, Hao Huang, Lu Cao
Space: Science & Technology, vol. 2022, Article ID 9854601, 13 pages, 2022