Pose Stabilization Control for Base of Combined System Using Feedforward Compensation PD Control During Target
Zhonghua Hu1,2, Jinlong Yang1, Wenfu Xu2
1School of Mechanical & Automotive Engineering, Liaocheng University, Liaocheng 252000, China.
Sensors (Basel, Switzerland)
|January 10, 2026
Summary
This study introduces a novel pose stabilization method for space robots during satellite transposition. The feedforward compensation PD control significantly improves base attitude accuracy and reduces errors, even in challenging conditions.
Area of Science:
- Robotics
- Aerospace Engineering
- Control Systems
Background:
- Satellite transposition missions are critical for space operations.
- Dynamic coupling during these missions causes base attitude disturbances in space robots.
- Existing control methods struggle with precise base stabilization.
Purpose of the Study:
- To develop and validate a robust pose stabilization method for the base of a post-capture combined system.
- To address base attitude disturbances during target satellite transposition.
- To enhance the precision and stability of space robot operations.
Main Methods:
- Analysis of the mission sequence for target satellite repositioning using a discrete-serpentine heterogeneous dual-arm space robot (DSHDASR).
- Establishment of a dynamics model for the combined DSHDASR-target satellite system via Newton-Euler recursive formulation.
- Development of a pose stabilization strategy integrating dynamic feedforward compensation with Proportional-Derivative (PD) control.
Main Results:
- Simulations demonstrated significant improvements in position and attitude accuracy compared to traditional algorithms.
- The proposed method effectively reduced base pose errors under high-load and disturbed conditions.
- Validation through a co-simulation model confirmed the method's efficacy.
Conclusions:
- The feedforward compensation PD control method offers superior base pose stabilization for space robots during satellite transposition.
- This approach enhances mission reliability and precision in complex space environments.
- The study provides a valuable control strategy for future space robotic missions.
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