RT Conference Proceedings
T1 Advances in automatic thermal model to test correlation in space industry
A1 Klement, Jan
A1 Anglada, Eva
A1 Garmendia, Iñaki
AB In space industry thermal models are an important tool to predict, analyze and understand the thermal behaviour of components, subsystems and whole spacecrafts. Most parameters of these models have a limited accuracy and consequently the models results are uncertain. In order to reduce this uncertainty to a required level the model parameters are adjusted (correlated) by fitting the model to test results obtained during thermo vacuum tests. This is often a difficult long lasting manual process. In order to perform these correlations automatically many different methods have been developed and analyzed. Two of these methods are analyzed regarding their requirements, efficiency and limitations. A genetic algorithm is compared to a method based on non-linear equations solving algorithms of the Broyden class.
PB Texas Tech. Univeristy (TTU)
YR 2016
FD 2016-07
LK http://hdl.handle.net/11556/313
UL http://hdl.handle.net/11556/313
LA eng
NO KLEMENT, Jan; ANGLADA, Eva; GARMENDIA, Iñaki. Advances in automatic thermal model to test correlation in space industry. In: Proceedings of the 46th International Conference on Environmental Systems – ICES 2016, Vienna (Austria). Texas: Texas Tech. Univeristy, 2016. http://hdl.handle.net/2346/67496
NO No sponsors
DS TECNALIA Publications
RD 22 jul 2024