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Multi Variable Generalized Predictive Control of a Solution Copolymerization Reaction

Ghaffarian, Shahab | 2015

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 47919 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Pishvaie, Mahmoud Reza
  7. Abstract:
  8. Continuous synthesis of different kinds of industrial copolymers plays an important role in economics of the polymer industry. But copolymerization reactions are complex and with a high degree of nonlinearity so the control problem in this case needs a detailed study on system dynamic behavior. One of the solutions is using a optimal control method in the shape of predictive controllers. The main goal in this thesis is to design a generalized multi-varriable predictive controller for a solution copolymerization of methyl methacrylate and vinyl acetate in a continuous stirred tank reactor with separator and recycle stream. In this study, after simulating the nonlinear model of the process which includes reactor and the recycle stream (separator and hold tanks) according to equations in literature, a linear model identified for the system. After pairing the inputs and outputs, a multi loop PI controller strategy got designed for the process and control results got recorded. Afterwards we designed a generalized multi variable predictive controller on the basis of a linear CARIMA model with the ability of disturbance estimation. We tested the controller in both unconstrained and constrained conditions. At the end the results are compared with the multi loop PI controller performance
  9. Keywords:
  10. Nonlinear Behavior ; Simulation ; Predictive Control ; Copolymerization

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