DocumentCode
2276586
Title
A self-tuning fuzzy logic controller for temperature control of superheated steam
Author
Isomursu, Pekka ; Rauma, Tapio
Author_Institution
Comput. Technol. Lab., Tech. Res. Centre of Finland, Oulu, Finland
fYear
1994
fDate
26-29 Jun 1994
Firstpage
1560
Abstract
We first introduce a non-adaptive fuzzy logic controller (FLC) for the control of live steam temperature in a coal-fired power plant. For further enhancing performance, we introduce a self-tuning method for the FLC that modifies the scaling factor of one FLC output. To make the FLC more portable to other similar plants and more robust we add another self-tuning mechanism that runs online and modifies the membership functions of the fuzzy rule set. We have used the meta-rule approach in the tuning mechanisms. The performance of the FLC is compared to a cascade PI controller
Keywords
adaptive control; fuzzy control; fuzzy set theory; self-adjusting systems; steam power stations; temperature control; coal-fired power plant; fuzzy rule set; membership functions; meta-rule approach; self-tuning fuzzy logic controller; superheated steam; temperature control; Control nonlinearities; Control systems; Feeds; Fuzzy logic; Laboratories; Mathematical model; Optimal control; Process control; Temperature control; Tuning;
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.1994.343927
Filename
343927
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