Stand for automation of control systems tests for electric power gas turbine installations using neural network models

One of the stages of testing a gas turbine electric power station is inspection and tuning of a gas turbine engine automatic control system. This labor-intensive process can be simplified by using the concept of a model-based approach and the neural network mathematical models, thereby reducing the...

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Bibliographic Details
Main Authors: Kilin, G. A., Suslov, A. I., Kavalerov, B. V., Kravets, O. Ja
Format: Conference Proceeding
Language:English
Subjects:
Automatic control systems
Automation
Electric power
Electric power plants
Electric power systems
Gas turbine engines
Inspection
Mathematical analysis
Mathematical models
Neural networks
Power plants
Tuning
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Summary:One of the stages of testing a gas turbine electric power station is inspection and tuning of a gas turbine engine automatic control system. This labor-intensive process can be simplified by using the concept of a model-based approach and the neural network mathematical models, thereby reducing the execution time of manual tuning operations. The article explains the advantages of using a model-based approach and neural network mathematical models in the stand for gas turbine electric power stations control systems test automation. Such as: using the neural model as a key module of the stand; collective neural model of a gas turbine engine and power system; taking into account the dynamics of the power system when setting up the automatic control system of a gas turbine engine.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0071354