<abstract xmlns="http://www.w3.org/1999/xhtml"><p>A new inference control system for the flame position in the combustion chamber of a power plant system boiler is presented. The system is based on enhanced multi-softsensing at three operational levels – basic level, providing estimates of all necessary technological variables; a separate Mill Fan (MF) level, and a total Dust Preparation System (DPS) level. The control system involves a subsystem for the stabilization of the position of the common MF ventilation rate momentum in a given threshold area in a burner horizon, which is supervised by an inference correction based on softsensed 2D flame position in the output section of the combustion chamber. A hybrid approach is accepted in softsensing, using fusion of the first principle models, statistical models, neural networks and fuzzy logic based models. Real experimental results are presented from TPP.</p></abstract>

A new inference control system for the flame position in the combustion chamber of a power plant system boiler is presented. The system is based on enhanced multi-softsensing at three operational levels – basic level, providing estimates of all necessary technological variables; a separate Mill Fan (MF) level, and a total Dust Preparation System (DPS) level. The control system involves a subsystem for the stabilization of the position of the common MF ventilation rate momentum in a given threshold area in a burner horizon, which is supervised by an inference correction based on softsensed 2D flame position in the output section of the combustion chamber. A hybrid approach is accepted in softsensing, using fusion of the first principle models, statistical models, neural networks and fuzzy logic based models. Real experimental results are presented from TPP.

Intelligent Multi-Soft Sensing for Flame Position of Steam Boilers

Institute of Information and Communication Technologies, BAS, 1113 Sofia, Bulgaria

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Intelligent Multi-Soft Sensing for Flame Position of Steam Boilers"}

A new inference control system for the flame position in the combustion chamber of a power plant system boiler is presented. The system is based on enhanced...

Intelligent Multi-Soft Sensing for Flame Position of Steam Boilers

Publié en ligne: 09 avr. 2016

Pages: 158 - 172

DOI: https://doi.org/10.1515/cait-2016-0013

Mots clés
Combustion chamber control, flame inference, mill fan, power plant

© 2016 Mincho Hadjiski et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Intelligent Multi-Soft Sensing for Flame Position of Steam Boilers

Publié en ligne: 09 avr. 2016

Pages: 158 - 172

DOI: https://doi.org/10.1515/cait-2016-0013

Mots clésCombustion chamber control, flame inference, mill fan, power plant

© 2016 Mincho Hadjiski et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Combustion chamber control, flame inference, mill fan, power plant