Artificial potential function based spacecraft proximity maneuver 6-DOF control under multiple pyramid-type...

Area of Science:

• Spacecraft dynamics and control
• Robotics and autonomous systems
• Guidance, navigation, and control (GNC)

Background:

• Autonomous proximity maneuvers require precise spacecraft control.
• Collision avoidance and maintaining a clear field of view (FOV) are critical safety constraints.
• Existing methods often use conservative cone-shaped models for constraints.

Purpose of the Study:

• To develop a novel control strategy for spacecraft six degree of freedom (6-DOF) pose tracking.
• To incorporate pyramid-type field of view (FOV) and collision avoidance constraints.
• To ensure stability and effectiveness during autonomous proximity operations.

Main Methods:

• Modeling pyramid-type constraints in the dual-quaternion frame.
• Designing a convex artificial potential function (APF) with a single global minimum.
• Developing an integrated APF-based control law for simultaneous rotational and translational motion control.
• Utilizing Lyapunov stability theory for system analysis.

Main Results:

• A novel method for modeling pyramid-type constraints in dual-quaternion space was proposed.
• A convex APF was designed to incorporate pose constraints effectively.
• The integrated control law successfully managed spacecraft pose tracking while adhering to constraints.
• Lyapunov theory confirmed the stability of the closed-loop system.

Conclusions:

• The proposed control law effectively addresses spacecraft 6-DOF pose tracking with pyramid-type constraints.
• The method ensures collision avoidance and FOV compliance during autonomous proximity maneuvers.
• Numerical simulations validate the stability and performance of the developed control strategy.