DocumentCode :
3494529
Title :
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
Link To Document :
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