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Study on synthetic multimode intelligent control for complex industrial process

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1 Author(s)
Wang Wu ; Sch. of Electr. & Inf. Eng., Xu Chang Univ., Xuchang, China

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.

Published in:

Test and Measurement, 2009. ICTM '09. International Conference on  (Volume:1 )

Date of Conference:

5-6 Dec. 2009

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