Real-time temperature field reconstruction of boiler drum based on fuzzy adaptive Kalman filter and order reduction

Based on the fuzzy adaptive Kalman filter (FAKF) and an order reduction technique, a real-time on-line temperature field monitoring method for boiler drum is established. Adopting the measured temperatures of the drum outer wall, the FAKF and weighted recursive least squares algorithm (WRLSA) are us...

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Vydáno v:International journal of thermal sciences Ročník 113; s. 145 - 153
Hlavní autoři: Wang, Xudong, Wang, Guangjun, Chen, Hong, Zhang, Lihui
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Masson SAS 01.03.2017
Témata:
Fuzzy adaptive Kalman filter
Inverse heat transfer problem
Order reduction
Real-time reconstruction
Temperature field
Inverse heat transfer problem
Order reduction
Fuzzy adaptive Kalman filter
Real-time reconstruction
Temperature field
ISSN:1290-0729, 1778-4166
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Shrnutí:Based on the fuzzy adaptive Kalman filter (FAKF) and an order reduction technique, a real-time on-line temperature field monitoring method for boiler drum is established. Adopting the measured temperatures of the drum outer wall, the FAKF and weighted recursive least squares algorithm (WRLSA) are used to acquire the internal heat flux and reconstruct the temperature field of a boiler drum inversely. In the above process, the aggregation method is developed to reduce the orders of the heat transfer model, by which the accurate reconstructed results can be achieved using less measurement points. In addition, using the filter residual, the process noise covariance of the Kalman filter (KF) is adjusted by fuzzy inference. Thus, the stability of the technique for temperature field reconstruction is improved. The start-up curve of a 600 MW subcritical boiler is used to verify the effectiveness of the proposed method. •A real-time on-line inversion scheme based on FAKF and order reduction is proposed.•Fuzzy inference is adopted to optimize the KF in the reconstruction method.•Order reduction is employed to decline the number of measurement points.•The temperature field of the boiler drum is reconstructed.
ISSN:1290-0729
1778-4166
DOI:10.1016/j.ijthermalsci.2016.11.017