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Enhanced Predefined-Time Control for Spacecraft Attitude Tracking: A Dynamic Predictive Approach.

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Summary
This summary is machine-generated.

This study introduces a new control strategy for spacecraft attitude tracking, achieving high precision within set time limits. The method enhances stability and reduces errors using advanced predictive algorithms.

Keywords:
attitude trackingdynamic predictive technologypredefined-time controlrigid spacecraftspeediest update predictive period

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Area of Science:

  • Aerospace Engineering
  • Control Systems Theory
  • Robotics

Background:

  • Spacecraft attitude control is critical for mission success.
  • Existing control methods often struggle with uncertainties and disturbances.
  • Predefined-time control offers finite-time convergence but can be restrictive.

Purpose of the Study:

  • To develop a robust predefined-time control strategy for rigid spacecraft attitude tracking.
  • To mitigate system uncertainties and environmental disturbances effectively.
  • To relax restrictive conditions in predefined-time control and simplify parameter adjustments.

Main Methods:

  • Utilizing dynamic predictive techniques for attitude tracking.
  • Implementing advanced predictive algorithms to handle uncertainties.
  • Developing a continuous, robust control law using terminal sliding mode control and predictive methods.
  • Introducing adaptive global optimization for period updates.

Main Results:

  • Achieved robust and precise attitude tracking within predefined time constraints.
  • Successfully mitigated system uncertainties and environmental disturbances.
  • Reduced attitude tracking errors to less than 0.01 degrees at steady state.
  • Demonstrated easier parameter adjustments and a nonconservative upper bound on system stability.

Conclusions:

  • The proposed predefined-time control strategy is effective for rigid spacecraft attitude tracking.
  • The integration of predictive methods and terminal sliding mode control enhances robustness and precision.
  • The adaptive global optimization approach relaxes prior limitations in predefined-time control.