Machine learning in telemetry data mining of space mission: basics, challenging and future directions
The development of an intelligent artificial satellite health monitoring system is a key issue in
aerospace engineering that determines satellite health status and failure using telemetry …
aerospace engineering that determines satellite health status and failure using telemetry …
Observer-based robust fault predictive control for wind turbine time-delay systems with sensor and actuator faults
This paper presents a novel observer-based robust fault predictive control (OBRFPC)
approach for a wind turbine time-delay system subject to constraints, actuator/sensor faults …
approach for a wind turbine time-delay system subject to constraints, actuator/sensor faults …
A deep learning based data-driven thruster fault diagnosis approach for satellite attitude control system
B Xiao, S Yin - IEEE Transactions on Industrial Electronics, 2020 - ieeexplore.ieee.org
The thruster fault diagnosis problem of the satellite attitude control system is investigated in
this article. This challenging problem is first changed into the binary image classification …
this article. This challenging problem is first changed into the binary image classification …
Advanced fault detection and diagnosis in spacecraft attitude control systems: Current state and challenges
SH Pourtakdoust, M Fakhari Mehrjardi… - Proceedings of the …, 2023 - journals.sagepub.com
A review of advanced fault detection and diagnosis (FDD) techniques in attitude control
systems (ACSs) of spacecraft is presented. In the first part of the paper, several types of ACS …
systems (ACSs) of spacecraft is presented. In the first part of the paper, several types of ACS …
Data-driven solutions to spacecraft relative attitude-position fault-tolerant control
M Chiniforoushan, M Mortazavi, K Raissi - Advances in Space Research, 2023 - Elsevier
In this paper, the previous work of the authors on Subspace Predictive Control (SPC) in the
context of spacecraft roto-translational relative motion is pursued, and the introduced novel …
context of spacecraft roto-translational relative motion is pursued, and the introduced novel …
Adaptive sliding mode fault-tolerant control for satellite attitude tracking system
SM Sadigh, A Kashaninia, SMM Dehghan - Advances in Space Research, 2023 - Elsevier
In this paper, an adaptive modified sliding mode control approach is developed for attitude
tracking of a nano-satellite with three magnetorquers and one reaction wheel. A sliding …
tracking of a nano-satellite with three magnetorquers and one reaction wheel. A sliding …
Adaptive neural finite-time control for space circumnavigation mission with uncertain input constraints
This paper explores the design of an anti-saturation adaptive finite-time control strategy with
the neural network (NN) technique for the space circumnavigation mission. Before executing …
the neural network (NN) technique for the space circumnavigation mission. Before executing …
Distributed optimal control allocation for 6-dof spacecraft with redundant thrusters
X Lang, A de Ruiter - Aerospace Science and Technology, 2021 - Elsevier
Control allocation for 6-dof spacecraft maneuvers is considered. Retired spacecraft, whose
own control system is inoperable, can be reused by installing multiple cellular thruster …
own control system is inoperable, can be reused by installing multiple cellular thruster …
Finite-time fault-tolerant control of a spacecraft using composite learning in the presence of moment of inertia uncertainty and external disturbances
In this paper, a neuro-adaptive finite-time fault-tolerant control for a class of nonlinear
systems is proposed based on the backstepping method, considering model uncertainties …
systems is proposed based on the backstepping method, considering model uncertainties …
Recurrent neural network based robust actuator and sensor fault estimation for satellite attitude control system
D Long, X Wen, W Zhang, J Wang - IEEE Access, 2020 - ieeexplore.ieee.org
For the satellite attitude control system with actuator and sensor fault, the paper proposes a
neural network based robust state and fault estimation method. Compared with the …
neural network based robust state and fault estimation method. Compared with the …