MBSE Modelling Environment and Multi-Objective Optimization of Thermal Control Strategies for Multifunctional Structures

A thermo-mechanical-electronic multifunctional structure prototype has been modelled and optimized through the use of Model Based System Engineering (MBSE) platform. The model focuses on the description of thermal and electrical phenomena, but leaves aside structural issues. It couples a 3D 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 has been already validated and correlated through a comparison with simple physical solutions, and then with the actual results of a thermal-vacuum test. A model-based approach has been used to model and properly define the main features of the overall problem. Multi-objective optimization (based on genetic algorithms) has then 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 finally to fine-tune the parameters of the selected control strategy. In particular the main objective focused also on the use of a model-based modelling environment for the definition and set-up of an optimization problem. The study has led to the definition of an optimal thermal control solution. The optimization results show that the simultaneous adjustment of the geometrical layout, as well as the control strategy and its parameters can lead to significant energy savings.