Satellite Neuro-PD Three-Axis Stabilization Based on Three Reaction Wheels

Abstract

In this paper, a neuro-proportional derivative (PD) method is presented to stabilize a satellite with respect to the gravity gradient. Three reaction wheels are employed to produce the necessary torque in the axes of the satellite. Quaternion and angular velocity vectors are used in the PD controller, and a neural network is applied to tune the gains of the PD controller. The error of the Euler angles is employed as an input of the neural network. The closed-loop system with different characteristics is simulated and compared with the variable-structure controller. The results show the superior performance of the proposed controller.