State estimation and dynamic compensation cooperative sliding mode control for space flexible manipulators
Juan Wang, Aiping Wang, Beibei Wang, Yuanqi Chen, Liping Li · 2026
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Description
Juan Wang and co-authors design a control system for flexible robot arms used in space. Their 2026 paper addresses arms that bend and shake, where outside disturbances and unmeasured states make precise movement hard. Two observers do the watching: a neural network estimates the mixed disturbances in real time, while a second observer rebuilds states that sensors cannot read directly.
A sliding mode controller then uses those estimates to drive the arm to its target in finite time. A dynamic compensation step feeds the disturbance estimate back into the control, canceling much of the shake. The authors report better tracking accuracy and stronger resistance to disturbance than plain control would give.
Catalog record
| CREATOR | Juan Wang, Aiping Wang, Beibei Wang, Yuanqi Chen, Liping Li |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 29 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |