Study on the stability of Tethered Satellite System

2011 ◽  
Vol 68 (11-12) ◽  
pp. 1964-1972 ◽  
Author(s):  
Yong He ◽  
Bin Liang ◽  
Wenfu Xu
Keyword(s):  
Satellite System ◽  
Tethered Satellite ◽  
Tethered Satellite System ◽  
The Stability

On the Mechanics of Periodic Motion and Control of Tethered Satellite System in Elliptical Orbit

2019 ◽  
Vol 11 (06) ◽  
pp. 1950057
Author(s):  
Z. J. Pang ◽  
Z. Zhao ◽  
Q. T. Wang ◽  
Z. H. Du
Keyword(s):  
Periodic Solutions ◽  
Equations Of Motion ◽  
Satellite System ◽  
Critical Value ◽  
Stable Region ◽  
Periodic Motions ◽  
Orbital Eccentricity ◽  
Tethered Satellite ◽  
Tethered Satellite System ◽  
The Stability

This study investigates the periodic motions of an in-plane tethered satellite system in elliptical orbits. The equations of motion of the system are derived, and periodic solutions are obtained by perturbation method. Then, the stability properties of the periodic solutions are studied. Analysis results show that the periodic solutions become unstable when orbital eccentricity is larger than a critical value. Two classical control schemes are used to convert the unstable periodic motions to stable ones. Stability analyses of periodic solutions of the two controlled systems show that the two control methods can improve the critical value of orbital eccentricity. Numerical simulations of the controlled system are carried out to demonstrate the validity of the stable region.

scholarly journals Vibroimpact Dynamics of a Tethered Satellite System

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
B. S. Yu ◽  
H. Wen
Keyword(s):  
Incident Angle ◽  
Satellite System ◽  
Mapping Method ◽  
Cell Mapping ◽  
Free Flight ◽  
Tethered Satellite ◽  
Tethered Satellite System ◽  
The Stability ◽  
The Moment ◽  
The Impact

This paper presents the vibroimpact dynamics of an in-plane tethered subsatellite caused by sudden braking during deployment or retrieval. The full dynamics of the subsatellite are composed of its free-flight and the instantaneous impacts. At the moment of impact, the reflective angle of the subsatellite is envisioned to be equal to its incident angle such that the impact law is obtained. Then, the stability of the periodic vibroimpacts is analyzed using the composite Poincaré map. Further, the vibroimpact responses that do not exceed a specified region are numerically determined via the cell mapping method.

Current Collection Model Characterizing Shuttle Charging During the Tethered Satellite System Missions

2000 ◽  
Vol 37 (2) ◽  
pp. 212-217 ◽  
Author(s):  
Victor M. Aguero ◽  
Brian E. Gilchrist ◽  
Scott D. Williams ◽  
William J. Burke ◽  
Linda Krause ◽  
...  
Keyword(s):  
Satellite System ◽  
Tethered Satellite ◽  
Tethered Satellite System ◽  
Current Collection

Dynamic analysis of a tethered satellite system with a moving mass

2013 ◽  
Vol 75 (1-2) ◽  
pp. 267-281 ◽  
Author(s):  
Wonyoung Jung ◽  
Andre P. Mazzoleni ◽  
Jintai Chung
Keyword(s):  
Dynamic Analysis ◽  
Satellite System ◽  
Moving Mass ◽  
Tethered Satellite ◽  
Tethered Satellite System

Neural network-based adaptive terminal sliding mode control for the deployment process of the dual-body tethered satellite system

2019 ◽  
Vol 234 (6) ◽  
pp. 1157-1171 ◽  
Author(s):  
Chenguang Liu ◽  
Wei Wang ◽  
Yong Guo ◽  
Shumin Chen ◽  
Aijun Li ◽  
...  
Keyword(s):  
Neural Network ◽  
Radial Basis Function ◽  
Basis Function ◽  
Sliding Mode ◽  
External Disturbance ◽  
Satellite System ◽  
Terminal Sliding Mode ◽  
Tethered Satellite ◽  
Tethered Satellite System ◽  
Radial Basis

The dual-body tethered satellite system, which consists of two spacecraft connected by a single tether, is one of the most promising configurations in numerous space missions. To ensure the stability of deployment, the radial basis function neural network-based adaptive terminal sliding mode controller is proposed for the dual-body tethered satellite system with the model uncertainty and external disturbance. The terminal sliding mode controller serves as the main control framework for its properties of the strong robustness and finite-time convergence. The radial basis function neural network is adopted to approximate the model uncertainty, in which the weight vector of the radial basis function neural networks and the unknown upper bound of the external disturbance are estimated by using two adaptive laws. Finally, the Lyapunov theory and numerical simulations are used to prove the validity of the proposed controller.

Sign in / Sign up

Export Citation Format

Share Document