Mikhailenko V.S.

Synthesis of Neural Network System of Automatic Control of Water Level in the Boiler Drum Power Block of Thermal Power Plant

The purpose of this paper is synthesis of intellectual automatic control system (ACS) of the water level of drum boiler unit based on the theory of neural networks. We develop a mathematical model of the research object. Analysis of the transients quality under different operating boiler shows that the traditional ACS has significant drawbacks associated with significant regulation time and the first rejection. To improve the traditional ACS and its efficiency, we propose to use a neural network approach to control.