DocumentCode :
2314747
Title :
Derivation and analysis of three-input inference for fuzzy PID controllers
Author :
Mann, G.K.I. ; Hu, B.-G. ; Gosine, R.G.
Author_Institution :
Fac. of Eng. & Appl. Sci., Memorial Univ. of Newfoundland, St. John´´s, Nfld., Canada
Volume :
2
fYear :
1998
fDate :
11-14 Oct 1998
Firstpage :
1910
Abstract :
The fuzzy PID controller based on three-input inference is analyzed. Defining linear fuzzy regions in a linguistic error state space, a general linear-like fuzzy logic controller output is obtained. The solutions for twoand one-input fuzzy outputs are obtained as special cases of the three-input solution. The outputs of each controller are decomposed into linear and nonlinear terms with simple expressions. The multiphase solution that exists in the fuzzy output solution is expressed with least number of nonlinear terms. The linear output is used to identify the apparent linear PID gains of each controller type. The behavior of the apparent gains is similar to linear gain terms in a conventional PID controller. Thus three types of fuzzy controllers are tuned for obtaining overall performance
Keywords :
fuzzy control; inference mechanisms; state-space methods; three-term control; fuzzy PID controllers; linear PID gains; linear fuzzy regions; linear-like fuzzy logic controller output; linguistic error state space; multiphase solution; nonlinear terms; one-input fuzzy outputs; three-input inference analysis; two-input fuzzy outputs; Automatic control; Error correction; Fuzzy control; Fuzzy logic; Fuzzy systems; Gain; Input variables; Laboratories; Noise measurement; Three-term control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
ISSN :
1062-922X
Print_ISBN :
0-7803-4778-1
Type :
conf
DOI :
10.1109/ICSMC.1998.728175
Filename :
728175
Link To Document :
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