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
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