On-line self tuning fuzzy controller using intelligent membership function

Author

Oh, Seok-Yon G. ; Park, Dong-Jo

Author_Institution

Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea

fYear

1995

fDate

26-28 Jul 1995

Firstpage

1317

Lastpage

1320

Abstract

A new design method is proposed for a fuzzy logic controller (FLC). By analyzing phase plane characteristics we can build and optimize the rule base of FLC. Variation of universe of discourse (UOD) can give coarse or fine control effects. With this variable UOD an adaptive gain tuning method is used to improve performance in transient and steady state. To show the improved performance of FLC and effectiveness of these methodologies, it is applied to design of attitude control system for a flexible spacecraft which has inherently a strong nonlinearities such as a hysteresis and a dead band

Keywords

adaptive control; fuzzy control; intelligent control; phase space methods; self-adjusting systems; adaptive gain tuning method; attitude control system; coarse control; dead band; fine control; flexible spacecraft; hysteresis; intelligent membership function; online self-tuning fuzzy controller; phase-plane characteristics; rule base; steady-state performance; strong nonlinearities; transient performance; universe of discourse; Algorithm design and analysis; Control systems; Design methodology; Error correction; Fuzzy control; Fuzzy systems; Input variables; Niobium; Nonlinear control systems; PD control;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers

Conference_Location

Hokkaido

Print_ISBN

0-7803-2781-0

Type

conf

DOI

10.1109/SICE.1995.526702

Filename

526702