The paper describes the selected methods of adaptive control of the pulverized coal combustion process overview with various types of prognostic models. It was proposed to use a class of control methods that are relatively well established in industrial practice. The presented approach distinguishes the use of an additional source of information in the form of signals from an optical diagnostic system and models based on selected deep structures of recurrent networks. The research aim is to increase the efficiency of the combustion process in the power boiler, taking into account the EU emission standards, leading in consequence to sustainable energy and sustainable environmental engineering.


combustion control; adaptive algorithms; artificial neural networks

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Published : 2019-06-21

Gromaszek, K. (2019). PULVERIZED COAL COMBUSTION ADVANCED CONTROL TECHNIQUES. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 9(2), 41-45. https://doi.org/10.5604/01.3001.0013.2546

Konrad Gromaszek  k.gromaszek@pollub.pl
Lublin University of Technology, Institute of Electronics and Information Technology  Poland