航天器
能源管理
模型预测控制
数学优化
调度(生产过程)
计算机科学
推进
任务(项目管理)
凸优化
能量(信号处理)
正多边形
实施
控制工程
控制(管理)
航空航天工程
工程类
系统工程
数学
人工智能
统计
几何学
程序设计语言
作者
Martin Doff-Sotta,Mark Cannon,James Richard Forbes
标识
DOI:10.1016/j.ecmx.2022.100325
摘要
This paper considers a spacecraft energy management strategy for optimally scheduling the power available for secondary tasks, such as communications and scientific payloads, while meeting the power demand for primary tasks, such as thermal management and propulsion, and adhering to operating constraints. A solution based on convex optimisation and model predictive control is proposed. Mathematical models of the various energy subsystems are used to formulate the energy management task over a future horizon as a constrained optimisation problem. We show that this problem can be formulated as a convex program and we derive an energy management strategy in the form of a model predictive control law. The convex problem formulation guarantees global optimality of the presented solution and opens the way for future onboard real-time implementations.
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