| Autor: |
Ali Farzi, Arjomand Mehrabani-Zeinabad, Ramin Bozorgmehry Boozarjomehry |
| Jazyk: |
angličtina |
| Rok vydání: |
2009 |
| Předmět: |
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| Zdroj: |
Iranian Journal of Chemistry & Chemical Engineering, Vol 28, Iss 3, Pp 1-14 (2009) |
| Druh dokumentu: |
article |
| ISSN: |
1021-9986 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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