Research on Autonomous Rendezvous Using Dynamically Focused Fuzzy Learning Control

Author

Qi, Yinghong ; Cao, Xibin

Author_Institution

Res. Center of Satellite Technol., Harbin Inst. of Technol.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

8505

Lastpage

8508

Abstract

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

Keywords

adaptive control; aerospace control; fuzzy control; learning (artificial intelligence); position control; self-adjusting systems; space vehicles; autotuning; disturbance rejection; dynamically focused fuzzy learning control; rule base; spacecraft autonomous rendezvous; Angular velocity; Control systems; Earth; Equations; Fuzzy control; Mathematical model; Optimal control; Satellites; Space technology; Space vehicles; auto-tuning gain; autonomous rendezvous; dynamically focused learning; fuzzy control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713638

Filename

1713638