Multiple Model Predictive Control of Methyl Methacrylate/Vinyl Acetate Synthesis Reactor

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Naderi Boldaji, Sara | 2017

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 49576 (06)
University: Sharif University of Technology
Department: Chemical and Petroleum Engineering
Advisor(s): Pishvaie, Mahmoud Reza
Abstract:
The purpose of this study is the implementation of multi-model predictive control (MMPC) approach for the co-polymerization system of methyl methacrylate - vinyl acetate. Simpler development of local models and controllers and also convenience of understanding the model and controller structure are the main reasons for using this approach. In the first step, RGA analysis has been used for pairing input and output variables. Then the performance of PI controller on the system has been investigated. For designing model predictive controller (MPC) the nonlinear model has been linearized at operational point and the controller has been designed in MPC toolbox of MATLAB software R2013a. In the next step, operational range has been divided into 9 regions. For each region the linearized model has been obtained and the MPC has been implemented. The performance of the aforementioned controllers has been compared. Simulation results show that MMPC is more successful in tracking the desired set-point trajectory
Keywords:
Model Predictive Control ; Simulation Optimization ; Dynamic Optimization ; Polymerization Reactor ; Solution Polymerization

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