Adaptive Neural Network Variable Structure Control for Liquid-Filled Spacecraft under Unknown Input Saturation
This study addresses the problem of attitude maneuver control for a three-axis stabilized liquid-filled spacecraft using an adaptive neural network variable structure control algorithm in the presence of parametric uncertainty, external disturbances, and control input saturation. The liquid fuel is...
Saved in:
Main Authors: | Hongwei Wang, Shufeng Lu, Xiaojuan Song |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | International Journal of Aerospace Engineering |
Online Access: | http://dx.doi.org/10.1155/2020/6515626 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Output Feedback Control for Asymptotic Stabilization of Spacecraft with Input Saturation
by: Chutiphon Pukdeboon
Published: (2017-01-01) -
Adaptive Finite-Time Control on SE(3) for Spacecraft Final Proximity Maneuvers with Input Quantization
by: Sai Zhang, et al.
Published: (2021-01-01) -
Inverse Optimal Attitude Stabilization of Flexible Spacecraft with Actuator Saturation
by: Chutiphon Pukdeboon
Published: (2016-01-01) -
Observer-Based Robust Control for Spacecraft Rendezvous with Thrust Saturation
by: Neng Wan, et al.
Published: (2014-01-01) -
Adaptive Fixed-Time 6-DOF Coordinated Control of Multiple Spacecraft Formation Flying with Input Quantization
by: Shiyu Wang, et al.
Published: (2020-01-01)