Title :
The robust controller design using self learning fuzzy logic
Author_Institution :
Dept. of Electr. Eng., Univ. of Technol., Sydney, NSW
Abstract :
The design procedure for a feedback control system, using fuzzy logic control theory, requires the configuration of a meaningful self-learning mechanism. Two particular problems that exist in fuzzy logical control system design (scaling factor choice and steady error reduction) are discussed. Based on an analysis of the problems, an improved and simplified mechanism which uses a scaling factor modifier and a rule modifier is proposed and is demonstrated by MATLAB
Keywords :
controllers; feedback; fuzzy control; fuzzy logic; learning systems; self-adjusting systems; MATLAB; feedback control system; robust controller design; rule modifier; scaling factor choice; self learning fuzzy logic; steady error reduction; Control systems; Control theory; Error correction; Feedback control; Fuzzy control; Fuzzy logic; Fuzzy systems; MATLAB; Robust control; System analysis and design;
Conference_Titel :
TENCON '92. ''Technology Enabling Tomorrow : Computers, Communications and Automation towards the 21st Century.' 1992 IEEE Region 10 International Conference.
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-0849-2
DOI :
10.1109/TENCON.1992.271928
