15th Triennial World Congress of the International Federation of Automatic Control
  Barcelona, 21–26 July 2002 
A PREDICTION MODEL OF SULFUR BASED ON INTELLIGENT INTEGRATED STRATEGY
Xiaofang Chen   Weihua Gui   Yalin Wang   Min Wu   Chunhua Yang
Department of Automatic Control Engineering, Central South University
Changsha, Hunan, 410083, P.R.China

Considering the prediction of sulfur in agglomerate in sintering process, a prediction model based on intelligent integrated strategy is put forward in this paper, where the mathematical model calculates the sulfur content in agglomerate following material balance equation with some parameters predicted by NN method, while the expert rule model describes the relationship between sulfur quantity and key factors. An intelligent coordinator based on fuzzy logic is proposed to synthesize the output of the models. The industrial application proved its effectiveness in sintering production.
Keywords: prediction; neural network; fuzzy inference; process models; expert systems
Session slot T-Tu-M19: Production & Supply-Chain Management Models/Area code 1c : Manufacturing Modelling, Management and Control