DocumentCode :
1586477
Title :
Research on intelligent control strategy of temperature system of industrial brazing furnace
Author :
Shuzu, Zhang ; Gewen, Kang
Author_Institution :
Sch. of Autom., UESTC, Chengdu, China
Volume :
2
fYear :
2011
Firstpage :
65
Lastpage :
67
Abstract :
The production of industrial brazing furnace process is a very complex physical process and chemical process, therefore, the mathematical model of industrial brazing furnace is difficult to establish, the traditional PID control will not get the desired results. In this paper, the two popular intelligent control algorithms are compared: fuzzy control and human-simulated intelligent control, simulation studies show that human-simulated intelligent control method has superior quality and robustness, and achieved the desired control objectives.
Keywords :
brazing; furnaces; fuzzy control; intelligent control; temperature control; fuzzy control; human-simulated intelligent control method; industrial brazing furnace process production; intelligent control strategy; temperature system; Algorithm design and analysis; Furnaces; Fuzzy control; Intelligent control; Process control; Temperature control; human -simulated intelligent control; industrial brazing furnace; mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Measurement & Instruments (ICEMI), 2011 10th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8158-3
Type :
conf
DOI :
10.1109/ICEMI.2011.6037766
Filename :
6037766
Link To Document :
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