DocumentCode :
3465498
Title :
Study on synthetic multimode intelligent control for complex industrial process
Author :
Wu, Wang
Author_Institution :
Sch. of Electr. & Inf. Eng., Xu Chang Univ., Xuchang, China
Volume :
1
fYear :
2009
fDate :
5-6 Dec. 2009
Firstpage :
196
Lastpage :
199
Abstract :
The complex industrial process often with large-scale, time varying behavior, nonlinear, multi-disturbance, and multi-objective, which are hard to create practical mathematical models and the complex plant is difficult to control automatically. A new type of synthetic multimode intelligent control method was proposed by integrating expert control with neural fuzzy network control which called ENFCS was realized in this paper, the structure and principles of ENFCS was analyzed and intelligent harmonized algorithm was programmed, the multi-mode control strategy was proposed and the multi-mode control algorithm programmed, also the NFC was designed and by applied into real complex industrial process plant (THJ-3). The simulation and application indicate the control system is practical and effective.
Keywords :
control system analysis; fuzzy control; fuzzy neural nets; intelligent control; large-scale systems; process control; complex industrial process; expert control; fuzzycontrol; intelligent harmonized algorithm; multimode intelligent control; neural network; Algorithm design and analysis; Automatic control; Fuzzy control; Fuzzy neural networks; Industrial control; Intelligent control; Intelligent networks; Intelligent structures; Large-scale systems; Mathematical model; Complex Industrial Process; Expert control; Multi-mode Control; Neural Network Fuzzy control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Test and Measurement, 2009. ICTM '09. International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4699-5
Type :
conf
DOI :
10.1109/ICTM.2009.5412964
Filename :
5412964
Link To Document :
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