Stochastic Approach to Spacecraft Thermal Control Subsystem

This paper presents a proposal for thermal analysis running cloned models varying the characteristics of the thermal mathematical models. This type of analysis improves the knowledge of the thermal performances of any space segment, anticipating the problems and reducing the critical iterative analysis process.

To perform this type of analysis the stochastic theory and the Monte Carlo method are used. This will be applied to the critical periods like worst case determination, sensitivity analysis, design limits or test correlation.

This methodology has been applied with very nice results and some of them will be shown.