吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (增刊1): 288-292.

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Control method of molecular weight distribution in polymerization reaction based on grey-box model

WU Hai-yan, CAO Liu-lin, WANG Jing   

  1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
  • Received:2011-05-06 Online:2011-09-01 Published:2011-09-01

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Abstract:

The control of molecular weight distribution(MWD) is one of important object of polymerization reaction product design.In orthogonal polynomial neural network model,the weights of neural network can be substituted by the moments of MWD,and the weights in neural network have a clear physical meaning,so the model of neural network can be called grey-box model.Based on these,this paper deduced the constraints of orthogonal polynomial,so the theory of the modeling method has been developed and been more general.Based on the modeling result,the optimization method is utilized to get the control sequence.The control performance function is developed to making the control strategy more robust.The control method is tested on styrene polymerization reacted in CSTR,and simulation results proved the effectiveness of the method.

Key words: automatic control technology, control of molecular weight distribution(MWD), orthogonal polynomial neural network, moment, optimization control

CLC Number: 

  • TQ316.37


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