Abstract 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.

中文翻译：

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刚柔结合卫星姿态控制系统参数化模型预测控制的实时实现

摘要 刚柔结合卫星是一种航空航天系统，其结构上装有柔性部件，如天线或太阳能电池板。卫星的姿态控制系统 (ACS) 负责关于执行机动的固定参考的空间定向。因此，ACS 会导致柔性结构出现问题，尤其是在大规模运动中，因为可能会在系统中引起不希望的振动，从而影响卫星的任务。然后，ACS 必须设计为在考虑几个卫星操作限制的同时有效地执行姿态控制。在本文中，针对刚柔结合卫星的ACS，提出了一种参数化模型预测控制（MPC）策略。参数化的 MPC 可以提供姿态跟踪性能以及满足操作约束以限制结构的最大允许柔性位移。此外，所提出的控制器还处理电动机命令变量的饱和度。所提出的控制策略的另一个相关特征是 MPC 的参数化，它降低了优化问题的复杂性，从而缩短了计算时间并允许实时实现。硬件在环 (HIL) 平台用于在嵌入式系统中验证所提出的控制方案，并评估闭环性能、鲁棒性和控制可行性。数值和实验结果强调了参数化 MPC 策略的效率，