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On-line nonlinear dynamic data reconciliation using Extended Kalman Filtering: Application to a distillation column and a CSTR

Farzi, A ; Sharif University of Technology

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  1. Type of Document: Article
  2. Abstract:
  3. Extended Kalman Filtering (EKF) is a nonlinear dynamic data reconciliation (NDDR) method. One of its main advantages is its suitability for on-line applications. This paper presents an on-line NDDR method using EKF. It is implemented for two case studies, temperature measurements of a distillation column and concentration measurements of a CSTR. In each time step, random numbers with zero mean and specified variance were added to simulated results by a random number generator. The generated data are transferred on-line to a developed data reconciliation software. The software performs NDDR on received data using EKF method. Comparison of data reconciliation results with simulated measurements and true values demonstrates a high reduction in measurement errors, while benefits high speed data reconciliation process
  4. Keywords:
  5. CSTR ; Data reconciliation ; Distillation column ; Extended kalman filtering ; Nonlinear dynamic Data reconciliation ; Object-oriented programming
  6. Source: Iranian Journal of Chemistry and Chemical Engineering ; Volume 28, Issue 3 , 2009 , Pages 1-14 ; 10219986 (ISSN)
  7. URL: http://www.ijcce.ac.ir/article_6841.html