Simulation and Design of Multi-Variable Fuzzy Controller for CSTR Polyvinyl Acetate

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Mahfouz, Kothar |

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 43849 (06)
University: Sharif University of Technology
Department: Chemical and Petroleum Engineering
Advisor(s): Pishvaie, Mahmoud Reza
Abstract:
There is many Nonlinear process in industry which are not control able with classic control methods. Model predictive control is a very useful method of control for nonlinear processes.
The nonlinearity of polymerization reactors are considerable in modeling, simulation, dynamic study and control .Design of free radical polymerization in continues reactors are very populated in industries.in this thesis modeling of free radical polymerization for polyvinyl acetate in industrial scale is studied for dynamic behavior studies of CSTR and design of Model predictive control system for the CSTR.
One of the important challenges in control system for this reactor is the existence of delay in measurement of polymer’s moment, While Model predictive control need an accurate model .
In this thesis four different adjustment of MPC controller based on neuro-fuzzy model is studied and for selecting the proper neuro-fuzzy adjustment , four fuzzy models with different parameters are used . the best result is taken and are compared with PI controller
Keywords:
Polyvinylacetate ; Nonlinear Predictive Control ; Free Radicals Polymerization ; Continous Stirred Tank Reactor (CSTR) ; Neuro-Fuzzy Modeling

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