Optimization of fuzzy attitude control for nanosatellites

In this work, the optimization by genetic algorithms of a system based on fuzzy logic for the attitude control of a nanosatellite is performed. The objective of this optimization is to propose different designs of the fuzzy controller depending on the possible operation modes along the whole mission of the satellite, to improve its efficiency and performance. Both, mono and multi objective optimizations, are performed finding that mono objective optimization leads to results that are not applicable in real systems due to its high cost of electrical power and that multi objective optimizations give very interesting results which allow some flexibility to change the controller to a faster one or one of lower cost. © Springer Nature Switzerland AG 2019.