Spacecraft Formation Flying Control Using Sliding Mode and Neural Networks Controller

Abstract

This paper proposes a spacecraft formation flying control using sliding mode and neural networks controller. To deal with the spacecraft formation flying problem, the leaderfollower approach is adopted and the sliding mode controller is designed to efficiently perform the spacecraft formation flying. The main benefit of sliding mode control is the robust stability of the closed-loop system. To improve the performance of sliding mode control, an adaptive controller based on neural networks is used to compensate for the effect of the modeling error, unknown disturbance, and nonlinearities. The stability analysis of the closed-loop system is performed using Lyapunov stability theorem. Numerical simulation results are presented to show the effectiveness of the proposed controller.