Robust Control Allocation for Space Inertial Sensor under Test Mass Release Phase with Overcritical Conditions

Area of Science:

• Aerospace Engineering
• Control Systems
• Sensor Technology

Background:

• Space inertial sensors require precise test mass control, especially under overcritical conditions.
• System uncertainties in test mass control can compromise capture accuracy and safety.

Purpose of the Study:

• To develop a robust control allocation strategy for space inertial sensor test mass capture under overcritical conditions.
• To address and mitigate the impact of system uncertainties on the control allocation process.

Main Methods:

• Analysis of uncertainty factors in overcritical test mass control systems.
• Development of a 6-DOF test mass dynamics model incorporating system uncertainty.
• Design of a time-varying weight function for coordinating generalized force allocation.
• Formulation of a robust control allocation method as a second-order cone optimization problem, utilizing its dual for efficiency.

Main Results:

• The proposed robust control allocation method effectively distributes commanded forces and torques to individual electrodes.
• Numerical simulations demonstrate improved capture efficiency and increased security margins.
• Significant reduction in control allocation errors was observed compared to existing methods.

Conclusions:

• The robust control allocation method provides an optimal solution for test mass capture under overcritical conditions.
• The approach successfully accounts for system uncertainties, enhancing overall system performance and reliability.
• This method offers a computationally efficient and effective strategy for critical space sensor applications.