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Constrained model predictive control of MMA polymerization reactor based on genetic algorithm optimization

Rafizadeh, M ; Sharif University of Technology | 2003

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  1. Type of Document: Article
  2. Publisher: 2003
  3. Abstract:
  4. Control of MMA polymerization batch reactor has intensively investigated. The nonlinear and time varying behavior of the system makes its control a challenging task. MPC algorithm is enjoying an increasing application for control of chemical processes. A sequential linearized model based predictive controller based on the DMC algorithm was designed to control the temperature of a batch MMA polymerization reactor. A genetic algorithm (GA) is suggested to optimize the cost function of DMC. The controller performance was studied via simulation. The controller performance in tracking the profile, noise and disturbances rejection is very good
  5. Keywords:
  6. Genetic algorithms ; Methyl methacrylate ; Model predictive control ; Polymerization reactor control
  7. Source: Proceedings of 2003 IEEE Conference on Control Applications, Istanbul, 23 June 2003 through 25 June 2003 ; Volume 1 , 2003 , Pages 464-469
  8. URL: https://ieeexplore.ieee.org/document/1223457