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Actuator failure-tolerant control of an all-thruster satellite in coupled translational and rotational motion using neural networks
, Article International Journal of Adaptive Control and Signal Processing ; 2018 ; 08906327 (ISSN) ; Assadian, N ; Sharif University of Technology
John Wiley and Sons Ltd
2018
Abstract
The nonlinear model predictive control (MPC) approach is used to control the coupled translational-rotational motion of an all-thruster spacecraft when one of the actuators fails. In order to model the dynamical response of the spacecraft in MPC, instead of direct integration, a neural network (NN) model is utilized. This model is built of a static NN, followed by a dynamic NN. The static NN is used to find the changes of the mapping of “the demanded forces to the thrusters” and “the real torques/forces produced by the remaining thrusters” after the failure occurrence through online training. In this manner, the effect of failed thruster on the dynamics can be found and the need for...