Neural-Network-Based Sliding-Mode Adaptive Control for Spacecraft Formation Using Aerodynamic Forces

摘要

SPACECRAFT formation flying (SFF) has become an attractive technology for many space and Earth orbiting missions. The applications of SFF require the accurate control of the relative motion. Propellanlless control techniques have drawn much attention, which can offer a clearer environment for sensors on board. In low Earth orbit (LEO), differential aerodynamic drag is considered as one of the main perturbations affecting relative motion. The effects of differential aerodynamic drag were studied for the developments of several in-flight activities, Leonard et al. first proposed a method to use differential drag (DD) to provide control over the relative motion of the satellites.