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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Vydané v:	Mechanical systems and signal processing Ročník 149; s. 107129
Hlavní autori:	Murilo, André, de Deus Peixoto, Pedro Jorge, Gadelha de Souza, Luiz Carlos, Lopes, Renato Vilela
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin Elsevier Ltd 15.02.2021 Elsevier BV
Predmet:	Aerospace systems Attitude Control System Constraints Control systems Electric motors Embedded systems Flexible structures Hardware-in-the-Loop Linear quadratic regulator Maneuvers Optimization Parameterization Parameterized MPC Performance evaluation Predictive control Real time Rigid-flexible satellite Robust control Satellite attitude control Satellite tracking Satellites Strategy Rigid-flexible satellite Parameterized MPC Hardware-in-the-Loop Constraints Attitude Control System
ISSN:	0888-3270, 1096-1216
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Abstract	•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.
AbstractList	•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. 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.
ArticleNumber	107129
Author	de Deus Peixoto, Pedro Jorge Lopes, Renato Vilela Murilo, André Gadelha de Souza, Luiz Carlos
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Snippet	•Model Predictive Control (MPC) can reduce vibrations during satellite maneuvers.•Satellite operational constraints are handled by MPC strategy.•Parameterized... Rigid-flexible satellites are aerospace systems with flexible parts attached to their structures, such as antennas or solar panels. Attitude Control Systems...
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SubjectTerms	Aerospace systems Attitude Control System Constraints Control systems Electric motors Embedded systems Flexible structures Hardware-in-the-Loop Linear quadratic regulator Maneuvers Optimization Parameterization Parameterized MPC Performance evaluation Predictive control Real time Rigid-flexible satellite Robust control Satellite attitude control Satellite tracking Satellites Strategy
Title	Real-time implementation of a parameterized Model Predictive Control for Attitude Control Systems of rigid-flexible satellite
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