Iac-08-c2.1.11 Neuro-fuzzy Modeling for Forecasting Future Dynamical Behaviors of Vibration Testing in Satellites Qualification

A neuro-fuzzy modeling for forecasting the future dynamical behavior in vibration testing during satellite qualification is proposed in this paper. Vibration testing is employed for emulating vibrations present during the lifetime launching. There are different levels of excitation during vibration testing in order to verify and assure that the satellite and their sub-systems will support the efforts when in orbit or during the launching. The analysis of the dynamical behavior can help not only to avoid breaks and other damages but also allows feasible adjustments in the structure model. The neuro-fuzzy model is used to describe the dynamical behavior through actual data measured during the qualification of space systems in the Integration and Testing Laboratory (LIT) at the National Institute of Space Research (INPE). The model uses part of a low amplitude signal for training the neuro-fuzzy system; the remaining set of data is used to validate the model. Afterward, the dynamical behavior is estimated when a new high amplitude input signal is applied. Results of the structural model used in the design of the satellite and of their sub-systems are confronted with the real behavior presented by the structure, allowing eventual adjustments. Results show the neuro-fuzzy modeling is a feasible solution for forecasting dynamic satellite behaviors under distinct exogenous input due to its capacity of generalization.