DocumentCode
2276927
Title
Application of self-organizing fuzzy logic controller in 2-D motion tracking control
Author
Gau, Jenn-Terng ; Lu, W.F.
Author_Institution
Dept. of Mech. & Aerosp. Eng. & Eng. Mech., Missouri Univ., Rolla, MO, USA
fYear
1994
fDate
26-29 Jun 1994
Firstpage
1660
Abstract
In this study, self-organizing fuzzy logic controller (SOFLC) is used in 2D motion tracking control. SOFLC avoids the need of the prior knowledge of the system, and is able to create and modify the control rules by learning based on a given performance criterion. Simulation results compare the performance of SOFLCC with simple fuzzy logic controller. It is found that the SOFLC is able to lower the tracking error below a desired set value in a short time for 2D tracking control
Keywords
fuzzy control; fuzzy logic; industrial control; machining; motion control; self-adjusting systems; tracking; 2D milling process; 2D motion tracking control; industrial automation; learning system; machining; performance criterion; self-organizing fuzzy logic controller; Automatic control; Control systems; Error correction; Fuzzy control; Fuzzy logic; Humans; Motion control; Performance analysis; Table lookup; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1896-X
Type
conf
DOI
10.1109/FUZZY.1994.343946
Filename
343946
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