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Automatic Fuel Flow Regulation System for the Combustion Chamber under Varying Operating Conditions Based on a Neural Nitrogen Oxide Sensor

https://doi.org/10.17587/mau.25.251-258

Abstract

The development of environmentally efficient high-thrust aviation engines requires the improvement of automatic control systems. The operation and increased number of aircraft make aviation one of the largest sources of emissions of harmful substances, particularly nitrogen oxides, during fuel combustion. A particular challenge is the control of the combustion chamber of aviation gas turbine engines (GTE), as it is necessary to simultaneously meet the fundamental requirements for ensuring the stable operation of the engine and minimizing the emissions of nitrogen oxides. This paper presents a new approach to the control of the combustion chamber of aviation GTE. The proposed solution involves adjusting the fuel consumption between the collectors of the combustion chamber by introducing feedback on NOx into the GTE automatic control system using an adaptive virtual neural nitrogen oxide measurer, considering real-time "hard" operation mode and ensuring gas-dynamic stability of the combustion chamber. Gas-dynamic stability of combustion in the combustion chamber is ensured by the uniform distribution of the fuel-air mixture through transverse pulsations of concentration using homogeneous and diffusive dosers. When redistributing fuel, the engine operates in a stable mode, preventing flameout in the combustion chamber and the "vibrating combustion" mode. The simulation results in the MATLAB software package confirm the effectiveness of the new approach to designing the fuel consumption control system of the combustion chamber using an adaptive virtual neural nitrogen oxide measurer. The proposed system has a high potential for reducing the concentration of nitrogen oxide emissions, thereby enhancing the ecological efficiency of the aviation GTE combustion chamber operation.

About the Authors

S. A. Storozhev
Perm National Research Polytechnic University
Russian Federation

Perm, 614990.



V. S. Nikulin
Perm National Research Polytechnic University
Russian Federation

Perm, 614990.



Y. N. Khizhnyakov
Perm National Research Polytechnic University
Russian Federation

Perm, 614990.



A. A. Yuzhakov
Perm National Research Polytechnic University
Russian Federation

Perm, 614990.



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Review

For citations:


Storozhev S.A., Nikulin V.S., Khizhnyakov Y.N., Yuzhakov A.A. Automatic Fuel Flow Regulation System for the Combustion Chamber under Varying Operating Conditions Based on a Neural Nitrogen Oxide Sensor. Mekhatronika, Avtomatizatsiya, Upravlenie. 2024;25(5):251-258. (In Russ.) https://doi.org/10.17587/mau.25.251-258

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