| Autor: |
Kavalerov, B. V., Bakhirev, I. V., Kilin, G. A. |
| Zdroj: |
Russian Electrical Engineering; Nov2022, Vol. 93 Issue 11, p712-717, 6p |
| Abstrakt: |
This article discusses the possibility of using neural-network models of gas-turbine power plants for automatic tuning and synthesis of control systems. The considered neural-network models represent a gas-turbine plant and a synchronous generator as a single model of a gas-turbine power plant. The rationale for the architecture of an artificial neural network is given, which, after training, is capable of reproducing the operation of gas-turbine power plants with various configurations of electric-power systems. The results of the application of a neural-network model of a gas-turbine power plant for automatic tuning of the free-turbine speed-control loop are presented. The results of mathematical modeling confirming the effectiveness of the method are presented. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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