SIMULATING THE COAL DUST COMBUSTION PROCESS WITH THE USE OF THE REAL PROCESS PARAMETERS
Yesmakhanova L.N. Tulenbayev M.S. Chernyavskaya N.P. Beglerova S.T. Kabanbayev A.B. Abildayev A.A. Maussymbayeva A.D.
November 2021Asian Research Publishing Network
ARPN Journal of Engineering and Applied Sciences
2021#16Issue 222395 - 2407 pp.
The purpose of the study is to simulate the combustion of coal dust in real combustion using artificial neural networks. The article discusses optical methods of flame diagnostics. The focus is on the secondary air supply. For unknown reasons, the pulverized coal in the boiler is not completely combusted. Incomplete combustion of coal impairs the efficiency of the boiler, that is, it worsens the combustion efficiency and leads to significant costs. The scientific novelty consists in the use of artificial neural networks in control algorithms, making it possible to simulate efficiently complex processes, in particular the process of burning coal dust. In the Matlab software environment, the results of the data collection with the separation output with different amplitudes are shown. The considered scheme takes into account the multi-input and multi-output nature of the combustion process. Using additional information, vector-based optical signals for the flame surface area and the loop length have proven the system tracking properties. As a result of the use of fast optical signals, the control speed of the object increases and stabilization of the output signals of the combustion process is achieved.
Coal dust , Combustion process , Control , Controller , Diagnostics , Neural networks
Text of the article Перейти на текст статьи
Taraz Regional University named after M. Kh. Dulaty, Kazakhstan
Karaganda Technical University, Kazakhstan
Taraz Regional University named after M. Kh. Dulaty
Karaganda Technical University
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026