Real-time implementation of a parameterized Model Predictive Control for Attitude Control Systems of rigid-flexible satellite

•Model Predictive Control (MPC) can reduce vibrations during satellite maneuvers.•Satellite operational constraints are handled by MPC strategy.•Parameterized MPC reduces computational time to solve optimization problems.•MPC can be executed in hardware with limited resources, desirable for space mi...

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Bibliographic Details
Published in:Mechanical systems and signal processing Vol. 149; p. 107129
Main Authors: Murilo, André, de Deus Peixoto, Pedro Jorge, Gadelha de Souza, Luiz Carlos, Lopes, Renato Vilela
Format: Journal Article
Language:English
Published: Berlin Elsevier Ltd 15.02.2021
Elsevier BV
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ISSN:0888-3270, 1096-1216
Online Access:Get full text
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Summary:•Model Predictive Control (MPC) can reduce vibrations during satellite maneuvers.•Satellite operational constraints are handled by MPC strategy.•Parameterized MPC reduces computational time to solve optimization problems.•MPC can be executed in hardware with limited resources, desirable for space missions. Rigid-flexible satellites are aerospace systems with flexible parts attached to their structures, such as antennas or solar panels. Attitude Control Systems (ACS) of satellites are responsible for spatial orientation concerning a fixed reference for executing maneuvers. As a result, ACS can lead to problems in flexible structures, especially in large-scale movements, as undesired vibrations may be induced in the system, which can impair the satellite’s mission. Then, ACS must be designed to carry out attitude control efficiently while regarding several satellite operating restrictions. In this paper, a parameterized Model Predictive Control (MPC) strategy is proposed for the ACS of a rigid-flexible satellite. The parameterized MPC can provide attitude tracking performance as well as meeting operational constraints to limit the maximum allowable flexible displacement of the structure. Besides, the proposed controller also deals with the saturation of the electric motor command variable. Another relevant feature of the proposed control strategy is the parameterization of MPC, which reduces the complexity of the optimization problem enabling short computation times and allowing real-time implementation. A Hardware-in-the-Loop (HIL) platform is used to validate the proposed control scheme in an embedded system as well as evaluate the closed-loop performance, robustness, and control feasibility. Numerical and experimental results emphasize the efficiency of the parameterized MPC strategy, and a comparison with a Linear Quadratic Regulator (LQR) is performed.
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ISSN:0888-3270
1096-1216
DOI:10.1016/j.ymssp.2020.107129