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https://hdl.handle.net/11499/7353
Title: | Support vector regression model based predictive control of water level of U-tube steam generators | Authors: | Kavaklıoğlu, Kadir | Keywords: | Support vector regression models U-tube steam generators |
Publisher: | Elsevier Ltd | Abstract: | A predictive control algorithm using support vector regression based models was proposed for controlling the water level of U-tube steam generators of pressurized water reactors. Steam generator data were obtained using a transfer function model of U-tube steam generators. Support vector regression based models were built using a time series type model structure for five different operating powers. Feedwater flow controls were calculated by minimizing a cost function that includes the level error, the feedwater change and the mismatch between feedwater and steam flow rates. Proposed algorithm was applied for a scenario consisting of a level setpoint change and a steam flow disturbance. The results showed that steam generator level can be controlled at all powers effectively by the proposed method. © 2014 Elsevier B.V. All rights reserved. | URI: | https://hdl.handle.net/11499/7353 https://doi.org/10.1016/j.nucengdes.2014.08.018 |
ISSN: | 0029-5493 |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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