Chenxing Zhong
Nanjing University of Science and Technology
7 Papers
9 Citations
Chenxing Zhong is an academic researcher from Nanjing University of Science and Technology. The author has contributed to research in topics: Attitude control & Control theory. The author has an hindex of 5, co-authored 7 publications.
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Papers
Attitude Control for Flexible Spacecraft With Disturbance Rejection
TL;DR: A novel robust Lyapunov-based controller that requires only the attitude angle and angular velocity measurement and convergence of modal variables to their set points can be achieved.
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Finite-time attitude control for flexible spacecraft with unknown bounded disturbance:
TL;DR: In this paper, a finite-time attitude control for a flexible spacecraft with unknown bounded disturbances is studied, and a new manoeuvre path is developed by combining path planning with the input shaping technique.
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Robust adaptive attitude manoeuvre control with finite-time convergence for a flexible spacecraft:
TL;DR: A robust discontinuous finite-time controller with terminal sliding mode control with adaptive scheme to deal with the more practical case that the boundary is unknown and the enhanced version is continuous and chattering-free.
28
Distributed attitude coordination tracking control for spacecraft formation with time-varying delays:
Zhihao Zhu,Yu Guo,Chenxing Zhong +2 more
TL;DR: A novel distributed attitude coordination control approach, which can regulate the attitude of spacecraft to a common time-varying reference states in case of time- varying delays, is proposed based on second-order consensus algorithm and graph theory.
21
Vibration suppression and sliding mode attitude control of flexible spacecraft with unknown disturbance and uncertainty
Chenxing Zhong,Yu Guo,Zhen Yu,Lu Wang,Liping Wu +4 more
- 28 Jul 2014
TL;DR: A novel sliding mode controller based on path planning and sliding mode control is proposed, which can achieve rapid attitude maneuver and alleviate chattering and an extended state observer for flexible spacecraft is designed to estimate the unknown disturbances and uncertainties.
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