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Model-Predictive exergy-based control for multi-domain shipboard systems

机译：基于模型预测的基于能值的多域舰载系统控制

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The Navy is developing advanced electric weapons and sensors for both legacy and new-build ships. These new systems will stress the traditional linear shipboard controls and may adversely impact both the electric power and cooling systems aboard ships unless their highly dynamic performance is accounted for and properly controlled. Our current ONR-sponsored research is investigating the use of nonlinear exergy-based control to exploit the system coupling between thermal, electrical and mechanical shipboard systems, enhancing overall system performance. Our model-predictive control (MPC) approach focuses on optimizing overall system performance through controlling various system parameters of a coupled electrical/thermal system when supporting a pulsed mission load. This paper will describe our MPC model implementation and show results of our studies of changing the model's time horizon as well as system parameters, such as coolant flow rates and how those changes affect total exergy destruction as a measure of system efficiency.
机译：海军正在为传统和新型舰船开发先进的电动武器和传感器。这些新系统将给传统的线性舰载控制系统带来压力，并且可能对舰船上的电力和冷却系统造成不利影响，除非考虑并适当控制了它们的高动态性能。我们目前由ONR赞助的研究正在研究基于非线性火用的控制方法的利用，以利用热，电和机械舰载系统之间的系统耦合，从而提高整体系统性能。我们的模型预测控制（MPC）方法致力于在支持脉冲任务负载时通过控制耦合的电气/热力系统的各种系统参数来优化整体系统性能。本文将描述我们的MPC模型的实现方式，并展示我们对更改模型的时间范围以及系统参数（例如冷却液流速）以及这些变化如何影响总火用破坏（作为系统效率度量）的研究结果。

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