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
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;
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
DOI :
10.1109/FUZZY.1994.343927