Litcius/Paper detail

Station-Keeping of L2 Halo Orbits Under Sampled-Data Model Predictive Control

Mohamed Elobaid, Mattia Mattioni, S. Monaco, D. Normand‐Cyrot

2022Journal of Guidance Control and Dynamics12 citationsDOIOpen Access PDF

Abstract

The paper deals with the design of an improved model predictive control\nscheme for achieving station-keeping in a quasi Halo orbit around the $L_2$\npoint in the Earth-Moon system. The improvement is obtained thanks to a\nmulti-rate sampled-data trajectory planner that allows for simplifying the\noptimization problem of the model predictive controller while guaranteeing\nfeasibility and convergence to the desired orbit. The multi-rate planner is\ndesigned based on a simplified model of the dynamics under a preliminary\nnonlinear regulation feedback. The proposed control scheme is shown to\noutperform recent station-keeping nonlinear model predictive control designs\nboth in terms of tracking error and energy expenditures in different\nsituations. Finally, a brief study of aspects pertaining to computational time\nare carried out so highlighting the possibility for real time implementation on\nmodern hardware.\n

Topics & Concepts

Halo orbitModel predictive controlHaloComputer scienceControl theory (sociology)Orbit determinationControl (management)PhysicsArtificial intelligenceAstronomyTelecommunicationsGlobal Positioning SystemGalaxyAdvanced Control Systems OptimizationFault Detection and Control SystemsCatalytic Processes in Materials Science