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State estimation in a batch suspension polymerization reactor

Shahrokhi, M ; Sharif University of Technology | 2001

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  1. Type of Document: Article
  2. Publisher: 2001
  3. Abstract:
  4. This paper concerns non-linear state estimation in a batch polymerization reactor where suspension polymerization of methyl methacrylate takes place. A kinetic model proposed in the literature is selected and its validity has been verified through an experimental set-up. Based on this model monomer conversion and average molecular weights of the polymer are estimated using only one output measurement (reactor temperature). The performance of the estimator, which has the structure of an extended Kalman filter, is examined through simulation and experimental studies in the presence of different levels of parameter uncertainties. The effects of adding 'fictitious noise' and parameter state' to the estimation algorithm are also investigated. To find the best fictitious state, the main parameters of polymerization model are divided into three groups. The parametric study of the MMA polymerization model indicates that, when the source of parameter uncertainty is unknown, the best selection of parameter state is the initial mass of monomer
  5. Keywords:
  6. Batch reactor ; Dynamic modelling ; Extended Kalman filter ; State estimation ; Suspension polymerization
  7. Source: Iranian Polymer Journal (English Edition) ; Volume 10, Issue 3 , 2001 , Pages 173-187 ; 10261265 (ISSN)
  8. URL: https://www.sid.ir/paper/530693/en