Akademik Veri Yönetim Sistemi
Measurement: Journal of the International Measurement Confederation, cilt.249, 2025 (SCI-Expanded)
Spacecraft thermal modeling and control are among the critical but challenging tasks in maintaining the operating temperature of spacecraft subsystems within safe limits during their operational life. This study aims to optimize satellite thermal control systems by generating a sensor placement algorithm for the mathematical model. It presents a satellite thermal mathematical model that can accurately represent temperatures on the spacecraft and identify the optimal placements of thermal sensors. In this way, temperatures read on sensors are used to provide more precise temperature estimations for the rest of the satellite subsystems. Information entropy theory, which treats uncertainty or unpredictability of data, is applied to make the temperature estimates more precise for satellite subsystems. Bayesian methods are also used to incorporate prior knowledge and update predictions, which allows robust uncertainty management. This comprehensive methodology contributes to more efficient thermal control, ensuring spacecraft reliability and performance in the face of complex thermal challenges.