Solar Cruiser Disturbance Torque Estimation and Predictive Momentum Management
Ping-Yen Shen, Ryan J. Caverly

TL;DR
This paper introduces a disturbance-torque-estimation-augmented model predictive control framework for Solar Cruiser's momentum management, improving robustness and performance through real-time disturbance estimation and enhanced dynamics modeling.
Contribution
It develops a novel MPC-based momentum management method incorporating real-time disturbance torque estimation and detailed dynamics modeling for solar sail applications.
Findings
Successfully manages angular momentum during large slew maneuvers
Disturbance torque estimation significantly improves control reliability
Establishes a new benchmark for Solar Cruiser's momentum management
Abstract
This paper presents a novel disturbance-torque-estimation-augmented model predictive control (MPC) framework to perform momentum management on NASA's Solar Cruiser solar sail mission. Solar Cruiser represents a critical step in the advancement of large-scale solar sail technology and includes the innovative use of an active mass translator (AMT) and reflectivity control devices (RCDs) as momentum management actuators. The coupled nature of these actuators has proven challenging in the development of a robust momentum management controller. Recent literature has explored the use of MPC for solar sail momentum management with promising results, although exact knowledge of the disturbance torques acting on the solar sail was required. This paper amends this issue through the use of a Kalman filter to provide real-time estimation of unmodeled disturbance torques. Furthermore, the dynamics…
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Taxonomy
TopicsSpacecraft Dynamics and Control · Aerospace Engineering and Energy Systems · Ship Hydrodynamics and Maneuverability
