Fuzzy Learning Control: Application to an Industrial Polymerization Reactor

  • Seokho-Yi (Department of Chemical Engineering, KAISTc) ;
  • Park, Sunwon- (Department of Chemical Engineering, KAIST)
  • Published : 1993.06.01

Abstract

This paper deals with an industrial application of a fuzzy feedback combined learning control to an industrial batch free radical polymerization reactor. As a result, the plant has reduced the batch reaction time by 50 minute and stabilized both by 40 percent reduction of the standard deviations of product qualities, such as the total solid content and the graft gum, and by 45 percent reduction of the standard deviation of the batch reaction end time.

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