DocumentCode :
354008
Title :
The application of data fusion based on fuzzy theory in temperature judgement of rotary kiln
Author :
Zhang Xiangang ; Jing, Zhang ; Hua, Chen
Author_Institution :
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
1730
Abstract :
An algorithm of data fusion based on fuzzy theory is proposed for temperature trend judgement of an industrial rotary kiln, which is key to the control system for this complex industrial process. The temperature measurement is based on the flame image processing which is easily disturbed by the dust and smog in the sintering strand. The algorithm proposed in the paper can overcome this disadvantage effectively. On the other hand, the fuzzy rules can be obtained directly by the data in the industry locale. Application shows that the control system using this method as feedback signal can achieve high robustness and good utility
Keywords :
fuzzy control; heat systems; robust control; sensor fusion; spectral methods of temperature measurement; temperature control; complex industrial process; data fusion; feedback signal; fuzzy rules; fuzzy theory; robustness; rotary kiln; temperature judgement; Cement industry; Control systems; Electrical equipment industry; Fires; Fuzzy control; Fuzzy systems; Industrial control; Kilns; Temperature control; Temperature measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
Type :
conf
DOI :
10.1109/WCICA.2000.862768
Filename :
862768
Link To Document :
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