Predicting Orbital State Vector of Satellites Using Time-Series Neural Networks

Danial Boostan

Volume 11, Issue 3 , December 2018, , Pages 47-61

Abstract
  Prediction of satellite orbital position is a critical requirement for all satellite ground stations. In this paper, a new viewpoint for predicting orbital position of satellites is presented. In contrast to traditional methods which are based on Kepler's law, the proposed method, is solely based on ...  Read More

Nonlinear Dynamic Inversion Fault Tolerant Control for Spacecraft   

Daniyal Bustan; Seyed Kamal Hosseini Sani; Naser Pariz

Volume 8, Issue 2 , July 2015, , Pages 11-17

Abstract
  In this paper, a continuous globally stable tracking control algorithm is proposed for spacecraft in the presence of unknown actuator failure. The design method is based on nonlinear dynamic inversion and  in contrast to traditional fault-tolerant control methods, the proposed ...  Read More