@Article{icces.2023.09145,
AUTHOR = {Hao Chen, Honghua Dai, Xiaokui Yue},
TITLE = {A	Data-Driven	Model for	Real-Time	Simulation of	the	Contact	Detumbling of	Satellites},
JOURNAL = {The International Conference on Computational \& Experimental Engineering and Sciences},
VOLUME = {26},
YEAR = {2023},
NUMBER = {1},
PAGES = {1--1},
URL = {http://www.techscience.com/icces/v26n1/53880},
ISSN = {1933-2815},
ABSTRACT = {The	 number	 of	 malfunctioning	 satellites	 is	 dramatically	 increasing	 with the development	 of	 space	
technology in recent	decades.	These	malfunctioning	satellites	are	normally	in	rotating	or	tumbling	states	
due	to	residual angular momentum, gravity gradient, et al, making direct capture impossible. Therefore, stabilizing 
these objects within acceptable angular velocities is an indispensable stage for in-orbit capture. The contact method 
using a flexible device (e.g., brush or rod) to detumble these satellites is considered to be safe and efficient enough.
However, it is extremely time-consuming to solve the dynamic model of the detumbling system, which is a very
tricky problem for in-orbit computation and real-time simulation. There are two main limitations: (i) The finiteelement-based dynamic model of the large-deformation device is high-dimensional. (ii) The contact-impact model
depends on small time steps to correctly describe the contact-impact process. To address this problem, this paper 
proposes a data-driven model to simplify the dynamic model of the large-deformation device and the contactimpact model. The large-deflection cantilever beam under the follower force is utilized to describe the deformation 
of the flexible device in any moment of the contact process. Huge amounts of data, covering all deformations of 
the device during contact, can be got by solving a series of differential equations based on the Euler-Bernoulli 
beam theory. Then, the data is trained by the neural network method to obtain the data-driven model that maps the 
deformation of the flexible device and the contact forces acting on the device. Finally, the simplified model of the 
detumbling system is established by combining the data-driven model, the robot model, and the target satellite 
model. Simulation results verify that the data-driven model is reliable and the real-time simulation is feasible.},
DOI = {10.32604/icces.2023.09145}
}