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