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首页> 外文期刊>Journal of aerospace engineering >Multiobjective Optimization of Thermal Control Strategies for Multifunctional Structures
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Multiobjective Optimization of Thermal Control Strategies for Multifunctional Structures

机译：多功能结构热控制策略的多目标优化

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摘要

A thermomechanical electronic multifunctional structure prototype has been modeled and optimized. The model focuses on the description of thermal and electrical phenomena, but leaves aside structural issues. It couples a three-dimensional thermal network with representations of different possible thermal control laws, namely on/off control, proportional logic, proportional-integral-derivative strategy, and the usage of positive temperature coefficient heaters. The parametric model was first validated and correlated through a comparison with simple physical solutions, and then with the actual results of a thermal vacuum test. Multiobjective optimization (based on genetic algorithms) has been used to define the best heater layout options, to identify the best control strategy in terms both of panel isothermia and energy consumption, and to fine-tune the parameters of the selected control strategy. The research reported in this paper has led to the definition of an optimal thermal control solution. An examination of the optimization results has shown that the simultaneous adjustment of the geometrical layout as well as the control strategy and its parameters can lead to energy savings of about 52%.
机译：热机械电子多功能结构原型已经过建模和优化。该模型着重于热和电现象的描述，但忽略了结构问题。它将三维热网络与不同可能的热控制定律（即开/关控制，比例逻辑，比例-积分-微分策略和正温度系数加热器的使用）的表示相结合。首先通过与简单的物理解决方案进行比较，然后与热真空测试的实际结果进行比较，验证并关联参数模型。多目标优化（基于遗传算法）已用于定义最佳加热器布局选项，从面板等温线和能耗方面确定最佳控制策略，并微调所选控制策略的参数。本文报道的研究导致了最佳热控制解决方案的定义。对优化结果的检查表明，同时调整几何布局以及控制策略及其参数可以节省大约52％的能源。

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