Speaker
Description
Optimization algorithms for space thermal engineering play a crucial role in enhancing the performance and reliability of spacecraft thermal systems. A student from the University of Nice is exploring this topic in collaboration with Dorea Technology by utilizing optimization software tools such as Genetik+, developed by CNES, and GEMSEO, developed by IRT Saint Exupéry. The research involves testing various algorithms already integrated into these tools (genetic algorithms, gradient descent NELDER-MEAD, differential evolution...), focusing on their efficiency, accuracy, and computational demands. The goal is to identify the most suitable algorithms depending on the considered use case.
In this study the considered use case is the optimization of volumes for a satellite thermal gauging process, the results obtained through the duration of the internship are encouraging : several optimization algorithms used yield the correct remaining volume of propellant in an acceptable amount of time. Conclusions and future work will be discussed.
