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Artificial Intelligence techniques for GNC design, implementation and verification
The performance of currently available Guidance Navigation and Control (GNC) systems for space is limited by unmodelled effects or uncertain parameters (e.g. sensor/actuator performances and performance degradations). Artificial Intelligence (AI) techniques based on machine learning could be integrated in GNC systems in order to enable on-line learning of the properties of dynamics, environment, sensors and actuators that limit the available performances.
Portugal

T705-605SA

DEIMOS ENGENHARIA S.A.
Artificial Intelligence Techniques in On-Board Avionics and Software
There are problems that cannot be solved by traditional algorithmic solutions, especially in the Control domain. They require non-linear adaptive algorithms. Neural Network is one of them.
 
Portugal

T301-602SW

DEIMOS ENGENHARIA S.A.
Inflatable Systems for Aerocapture and Aerobraking

This work has primarily focused on establishing scenarios where inflatable devices could be the most useful. Given that these missions rely on aerodynamic drag that results in (potentially significant) heating, the authors have sought to find solutions to minimize heat fluxes acting on the device surface, and especially keeping it within the limits of flexible/foldable TPS materials for the aerocapture scenario.

Portugal

19-D-S-OPS-02

Spin.Works

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