Adaptive Control Strategy for Space Robot Target Manipulation Based on Decoupled Dynamic Modeling

The manipulation or grasping of unknown objects represents an important task for free-floating space robots. The dynamic coupling between the target object and the robot often introduces complexity into the control design. To address this, we employ an extended Rosenberg embedding method to dynamically decouple the center-body, unknown object, and dual arm. Based on the decoupled model, an adaptive control consisting of three components is introduced. The first two parts, under the known system model, are designed for the task trajectory following. The third part utilizes a boundary function to enhance the system's robustness in the face of the worst effects arising from uncertain parameters of the target. Combining these three terms allows the unknown target to track the desired trajectory while maintaining the attitude of the center body for flight safety. The stability of the robot system under the proposed method is theoretically guaranteed and the control performance is numerically verified by the simulation in 3-D.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Aerospace and Electronic Systems
Published
2025-03-24
DOI
https://doi.org/10.1109/taes.2025.3553462
Primary Topic
Space Satellite Systems and Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Adaptive Control Strategy for Space Robot Target Manipulation Based on Decoupled Dynamic Modeling

Hankun Jiang, Senchun Chai, Rediet Tesfaye Zeru, Xiaoyi Wang et al.
IEEE Transactions on Aerospace and Electronic Systems
Space Satellite Systems and Control
article

Adaptive Control Strategy for Space Robot Target Manipulation Based on Decoupled Dynamic Modeling

Hankun Jiang, Senchun Chai, Rediet Tesfaye Zeru, Xiaoyi Wang, Yu Jin, Bingrun Jiang
article en

Abstract

The manipulation or grasping of unknown objects represents an important task for free-floating space robots. The dynamic coupling between the target object and the robot often introduces complexity into the control design. To address this, we employ an extended Rosenberg embedding method to dynamically decouple the center-body, unknown object, and dual arm. Based on the decoupled model, an adaptive control consisting of three components is introduced. The first two parts, under the known system model, are designed for the task trajectory following. The third part utilizes a boundary function to enhance the system's robustness in the face of the worst effects arising from uncertain parameters of the target. Combining these three terms allows the unknown target to track the desired trajectory while maintaining the attitude of the center body for flight safety. The stability of the robot system under the proposed method is theoretically guaranteed and the control performance is numerically verified by the simulation in 3-D.

IEEE Transactions on Aerospace and Electronic SystemsVol. 61(4)
Beijing Institute of Fashion Technology (CN), Beijing Institute of Technology (CN)
Climate action
Openalex Percentile: Top 93%
Space Satellite Systems and Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.