DocumentCode :
3448048
Title :
Temperature control with a neural fuzzy inference network
Author :
Lin, Chin-Teng ; Juang, Chia-Feng ; Li, Chung-Ping
Author_Institution :
Dept. of Control Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear :
1996
fDate :
11-14 Dec 1996
Firstpage :
91
Lastpage :
96
Abstract :
We propose a neural fuzzy inference network (NFIN) suitable for adaptive temperature control of a water bath system. The rules in the NFIN are created and adapted as online learning proceeds via simultaneous structure and parameter identification. The NFIN has been applied to a practical water bath temperature control system. The performance of the NFIN is compared to that of the PID controller and fuzzy logic controller (FLC) on the water bath temperature control system. The three control schemes are compared through experimental studies. It is found that the proposed NFIN control scheme has the best control performance among the three control schemes
Keywords :
fuzzy neural nets; fuzzy set theory; inference mechanisms; neurocontrollers; temperature control; uncertainty handling; water; NFIN; PID controller; adaptive temperature control; control schemes; fuzzy logic controller; neural fuzzy inference network; online learning; parameter identification; structure identification; water bath system; water bath temperature control system; Adaptive control; Control systems; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Parameter estimation; Programmable control; Temperature control; Three-term control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems Symposium, 1996. Soft Computing in Intelligent Systems and Information Processing., Proceedings of the 1996 Asian
Conference_Location :
Kenting
Print_ISBN :
0-7803-3687-9
Type :
conf
DOI :
10.1109/AFSS.1996.583566
Filename :
583566
Link To Document :
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