Fuzzy Logic and Neural Networks for Hybrid Intelligent System Design, Oscar CASTILLO,Patricia MELIN, Editör, Springer, London/Berlin , Zürich, ss.177-197, 2023
In this study, two
different controllers have been designed to perform the rendezvous and docking
tasks of two nonidentical and
noncooperative cubic satellites. Firstly, the motion of cubic satellites
was modeled with chaotic equations. After selecting suitable chaotic models,
fuzzy sliding mode controller (FSMC) and a new intuitionistic fuzzy sliding
mode controller (IFSMC), which are applied to synchronization systems under the
same initial conditions, have been designed. It has been observed that both synchronizations
reach stability by applying the controllers designed by considering the
Lyapunov stability criteria. After a while, a short-term and random disturbance
was applied to the synchronization systems and the response of both controllers
was observed. The numerical results showed that the synchronization system with
both controllers was stable, robust, efficient, fast and chattering-free.
However, synchronization system with IFSMC was found to be more robust, faster
and more efficient than synchronization system with FSMC.