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Model Predictive Control of a Solution Copolymerization Reactor

Sarrami Forushani, Sadegh | 2012

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 43247 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical & petroleum Engineering
  6. Advisor(s): Pishvaie, Mahmoud Reza
  7. Abstract:
  8. In the industry, there are nonlinear processes that can not be controlled with classical methods. Also, there are many processes that are more than one controlled variable that with classical methods, the design of a multiple input - multiple output controler is very difficult for them as well as the constraints on the inputs and outputs of the process exist, using classical controllers will be far more difficult. A model-based predictive control method for controlling nonlinear processes is useful in addition to having very high efficiency, extended to multi-mode interference together with constraints on the control variables and other controlled Problem with dynamic properties such as inverse dynamics and the answer is very easy. Then, the classical PI controller is tested on and it was shown that the controller is unable to control the process, go to the version control nonadaptive who have gone before. Comparing the results of the previous states of the controllers with non-adaptive predictive control can be concluded that in most cases a suitable controller, the process is desired. The simulation results obtained using 2011 MATLAB software and compared with those presented in the section itself
  9. Keywords:
  10. Predictive Control ; Nonlinear Dynamics ; Simulation ; Polymerization Reactor

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