Primary superheater spray control valve modeling based on Levenberg-Marquardt learning algorithm
Main steam temperature is one of the most important parameters in a coal fired power plant and its characteristics are non-linear and having large inertia with long dead time. Successful control of main steam temperature within ± 2 deg C from its setpoint is the ultimate target for the coal fired po...
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| Format: | Article |
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Praise Worthy Prize
2014
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| _version_ | 1796861245649846272 |
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| author | Mazalan, Nor Azizi A. Malek, Alisyn Abdul Wahid, Mazlan Mailah, Musa |
| author_facet | Mazalan, Nor Azizi A. Malek, Alisyn Abdul Wahid, Mazlan Mailah, Musa |
| author_sort | Mazalan, Nor Azizi |
| collection | ePrints |
| description | Main steam temperature is one of the most important parameters in a coal fired power plant and its characteristics are non-linear and having large inertia with long dead time. Successful control of main steam temperature within ± 2 deg C from its setpoint is the ultimate target for the coal fired power plant operators. Two of the most common main steam temperature circuit are primary superheater spray and secondary superheater spray. This paper present the primary superheater spray control valve modeling based on Levenberg-Marquardt learning algorithm. The neural network algorithm will be trained using actual plant data. The result of the simulation showed that the primary superheater spray control valve modeling based on neural network with Levenberg-Marquardt learning algorithm is able to replicate closely actual plant behavior. Generator output, main steam flow, total spraywater flow and secondary superheater outlet steam temperature are proven to be the main parameters affected the behavior of spray control valve opening in the unit. |
| first_indexed | 2024-03-05T19:53:26Z |
| format | Article |
| id | utm.eprints-62331 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T19:53:26Z |
| publishDate | 2014 |
| publisher | Praise Worthy Prize |
| record_format | dspace |
| spelling | utm.eprints-623312017-06-05T03:31:32Z http://eprints.utm.my/62331/ Primary superheater spray control valve modeling based on Levenberg-Marquardt learning algorithm Mazalan, Nor Azizi A. Malek, Alisyn Abdul Wahid, Mazlan Mailah, Musa TJ Mechanical engineering and machinery Main steam temperature is one of the most important parameters in a coal fired power plant and its characteristics are non-linear and having large inertia with long dead time. Successful control of main steam temperature within ± 2 deg C from its setpoint is the ultimate target for the coal fired power plant operators. Two of the most common main steam temperature circuit are primary superheater spray and secondary superheater spray. This paper present the primary superheater spray control valve modeling based on Levenberg-Marquardt learning algorithm. The neural network algorithm will be trained using actual plant data. The result of the simulation showed that the primary superheater spray control valve modeling based on neural network with Levenberg-Marquardt learning algorithm is able to replicate closely actual plant behavior. Generator output, main steam flow, total spraywater flow and secondary superheater outlet steam temperature are proven to be the main parameters affected the behavior of spray control valve opening in the unit. Praise Worthy Prize 2014 Article PeerReviewed Mazalan, Nor Azizi and A. Malek, Alisyn and Abdul Wahid, Mazlan and Mailah, Musa (2014) Primary superheater spray control valve modeling based on Levenberg-Marquardt learning algorithm. International Review of Mechanical Engineering, 8 (1). pp. 209-213. ISSN 1970-8734 http://www.praiseworthyprize.org/jsm/index.php?journal=ireme&page=article&op=view&path%5B%5D=14684 |
| spellingShingle | TJ Mechanical engineering and machinery Mazalan, Nor Azizi A. Malek, Alisyn Abdul Wahid, Mazlan Mailah, Musa Primary superheater spray control valve modeling based on Levenberg-Marquardt learning algorithm |
| title | Primary superheater spray control valve modeling based on Levenberg-Marquardt learning algorithm |
| title_full | Primary superheater spray control valve modeling based on Levenberg-Marquardt learning algorithm |
| title_fullStr | Primary superheater spray control valve modeling based on Levenberg-Marquardt learning algorithm |
| title_full_unstemmed | Primary superheater spray control valve modeling based on Levenberg-Marquardt learning algorithm |
| title_short | Primary superheater spray control valve modeling based on Levenberg-Marquardt learning algorithm |
| title_sort | primary superheater spray control valve modeling based on levenberg marquardt learning algorithm |
| topic | TJ Mechanical engineering and machinery |
| work_keys_str_mv | AT mazalannorazizi primarysuperheaterspraycontrolvalvemodelingbasedonlevenbergmarquardtlearningalgorithm AT amalekalisyn primarysuperheaterspraycontrolvalvemodelingbasedonlevenbergmarquardtlearningalgorithm AT abdulwahidmazlan primarysuperheaterspraycontrolvalvemodelingbasedonlevenbergmarquardtlearningalgorithm AT mailahmusa primarysuperheaterspraycontrolvalvemodelingbasedonlevenbergmarquardtlearningalgorithm |