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Predefined-time Lyapunov function-based sliding mode control for spacecraft rendezvous and docking.

Zhiwen Fan1, Xiaojuan Song2, Shufeng Lu1

  • 1School of Mechanics and Aeronautics, Inner Mongolia University of Technology, Hohhot 010051, China.

ISA Transactions
|February 12, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a new control strategy for spacecraft rendezvous and docking (R&D) that ensures faster convergence despite disturbances and faults. The method enhances safety and efficiency in space missions.

Keywords:
Actuator faultControl allocationPredefined-time Lyapunov functionRendezvous and dockingSliding mode control

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Area of Science:

  • Aerospace Engineering
  • Control Theory
  • Robotics

Background:

  • Spacecraft rendezvous and docking (R&D) is critical for space missions.
  • Existing control methods face challenges with external disturbances, actuator faults, and saturation.
  • Ensuring rapid and reliable R&D requires advanced control strategies.

Purpose of the Study:

  • To develop a robust predefined-time control strategy for spacecraft R&D.
  • To address the impact of external disturbances, actuator faults, and saturation.
  • To enhance the practical applicability and efficiency of R&D control.

Main Methods:

  • Developed a relative motion model incorporating gravity gradient torque and J2 perturbations.
  • Proposed a novel Lyapunov function with predefined-time stability properties.
  • Designed a predefined-time sliding mode controller and a control torque redistribution scheme.

Main Results:

  • The proposed controller ensures system states converge within a specified predefined time.
  • The control strategy demonstrates robustness against external disturbances, actuator faults, and saturation.
  • The torque redistribution scheme optimizes actuator workload and energy consumption.

Conclusions:

  • The developed predefined-time sliding mode controller is effective for spacecraft R&D.
  • The strategy offers enhanced performance and robustness compared to existing methods.
  • The approach is generalizable to other nonlinear control problems.