Research on Autonomous Rendezvous Using Dynamically Focused Fuzzy Learning Control

A dynamically focused fuzzy learning control (DFL-fuzzy control) for spacecraft autonomous rendezvous was presented. With the auto-tuning ability by tuning the gains of the inputs and the output, the inputs of the system were mapped into a fixed effective universe of discourse. The entire rule base would be used even though the input got smaller with the spacecraft close to the target. This could be implemented by DFL scheduler with learning and auto-tuning ability appending the fuzzy control. The problem of inadequate rules utilize in direct fuzzy control was solved. Therefore, DFL-fuzzy control achieves high performance for the autonomous rendezvous system and rejects the disturbance efficiently and effectively. The simulation results show that DFL-fuzzy control can perform the rendezvous effectively.