Development of an AI environment for AOCS applications
Vincenzo Cavalieri
Development of an AI environment for AOCS applications.
Rel. Giovanni Bracco. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Aerospaziale, 2023
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Abstract
The present work is intended as the final product of the double master's degree program between Politecnico di Torino and ISAE-Supaero, result of the final internship at CNES, the French space agency. The objective of this research was first and foremost to provide the CNES AOCS service with a bibliographic reference tool regarding Neural Networks and all their possible applications by understanding their mathematics and theory. It is then demonstrated how it is possible to reproduce such networks and their different configurations in the Matlab/Simulink environment through the development of an entire AI library in which each type of layer is represented with its characteristics, having Python as a reference.
Each layer of neural network studied in depth in the state of the art (MLP, RNN, CNN) is therefore reproduced in respective Simulink models in which it is possible to load weights from Python of the corresponding network already trained through specific functions able to read .h5 and .json files
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