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Auteurs principaux: Wang, Yankai, Chen, Ti
Format: Preprint
Publié: 2025
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Accès en ligne:https://arxiv.org/abs/2509.20100
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author Wang, Yankai
Chen, Ti
author_facet Wang, Yankai
Chen, Ti
contents This paper presents a data-driven modelling method for nonlinear dynamics of drag-free satellite based on Koopman operator theory, and a model predictive controller is designed based on the identified model. The nonlinear dynamics of drag-free satellite are identified and controlled based on Sparse Identification of Nonlinear Dynamics (SINDy). Using the manually constructed nonlinear function dictionary as observables, the system approximation is obtained by SINDy algorithm, and a linear Model Predictive Control (MPC) controller is designed for test mass capture based on the SINDy model. Finally, the effectiveness of MPC control is verified by numerical examples.
format Preprint
id arxiv_https___arxiv_org_abs_2509_20100
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Koopman-Operator-Based Model Predictive Control for Drag-free Satellite
Wang, Yankai
Chen, Ti
Systems and Control
This paper presents a data-driven modelling method for nonlinear dynamics of drag-free satellite based on Koopman operator theory, and a model predictive controller is designed based on the identified model. The nonlinear dynamics of drag-free satellite are identified and controlled based on Sparse Identification of Nonlinear Dynamics (SINDy). Using the manually constructed nonlinear function dictionary as observables, the system approximation is obtained by SINDy algorithm, and a linear Model Predictive Control (MPC) controller is designed for test mass capture based on the SINDy model. Finally, the effectiveness of MPC control is verified by numerical examples.
title Koopman-Operator-Based Model Predictive Control for Drag-free Satellite
topic Systems and Control
url https://arxiv.org/abs/2509.20100