What is it about?
The paper presents a model predictive control approach for stabilizing the attitude of a dual-spin magneto-Coulombic Earth-pointing satellite system. A Linear Time-Variant Model Predictive Controller (LTV-MPC) is implemented, and its recursive feasibility and closed-loop stability are analyzed, with simulations.
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Why is it important?
Designing the MPC for an LTV system becomes more challenging while satisfying its recursive feasibility and closed-loop stability. The mentioned attributes are well established for linear time-invariant (LTI) systems. However, when it comes to the LTV systems, some existing works in academia address these characteristics but make the control conservative by imposing strict conditions. This paper is the first attempt to provide an exact solution to the general problem.
Perspectives
This work not only provides the mathematical flavor to solve the LTV-MPC problem, but also comments on the engineering application of it. This is not restricted to spacecraft systems, it can also be applied to a wide class of nonlinear time-varying physical systems.
Kumardip Basak
University of Maryland at College Park
Read the Original
This page is a summary of: Dual-Spin Attitude Stabilization of Magneto-Coulombic Satellite Using Linear Time-Variant Model Predictive Control, January 2024, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/6.2024-0506.
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