Experimental Evaluation of Model Predictive Control and Inverse Dynamics Control for Spacecraft Proximity and Docking Maneuvers
Document Type
Article
Publication Date
5-22-2017
Abstract
An experimental campaign has been conducted to evaluate the performance of two different guidance and control algorithms on a multi-constrained docking maneuver. The evaluated algorithms are model predictive control (MPC) and inverse dynamics in the virtual domain (IDVD). A linear–quadratic approach with a quadratic programming solver is used for the MPC approach. A nonconvex optimization problem results from the IDVD approach, and a nonlinear programming solver is used. The docking scenario is constrained by the presence of a keep-out zone, an entry cone, and by the chaser’s maximum actuation level. The performance metrics for the experiments and numerical simulations include the required control effort and time to dock. The experiments have been conducted in a ground-based air-bearing test bed, using spacecraft simulators that float over a granite table.
Source Publication
CEAS Space Journal (ISSN 1868-2502 | eISSN 1868-2510)
Recommended Citation
Virgili-Llop, J., Zagaris, C., Park, H. et al. Experimental evaluation of model predictive control and inverse dynamics control for spacecraft proximity and docking maneuvers. CEAS Space J 10, 37–49 (2018). https://doi.org/10.1007/s12567-017-0155-7
NPS Calhoun source: https://hdl.handle.net/10945/53758
Comments
The "Link to Full Text" on this page opens or saves the article as hosted at the Calhoun digital repository of the Naval Postgraduate School's Dudley Knox Library.
The article was published as an article of CEAS Space Journal by Springer online in May 2017 ahead of inclusion in a 2018 issue, cited below.
This paper is based on a presentation at the 6th International Conference on Astrodynamics Tools and Techniques, March 14–17, 2016, Darmstadt, Germany.