MODELING OF THE FUEL SUPPLY SYSTEM USING A NEURAL NETWORK
The paper considers the fuel supply system of a gas turbine engine for an unmanned aerial vehicle, in particular, a model of a fuel metering unit as the main element of the system. The schemes and descriptions of the operation of the fuel supply system and its parts: a fuel metering unit. A model of a fuel metering unit is proposed to represent its work in the Simulink simulation environment. The model has a neural network block that uses the deviation of the servo unit of the aggregate from the initial position depending on the control signal at various specified values of the nozzles. Since the change in the size of the nozzles may occur randomly during the operation of the unit: if a mechanical particle hits the fuel, such an account of the change is necessary when the entire automatic control system of the gas turbine engine is operating. It should be noted that the approach to modeling the fuel and gas dosing unit is the same, which makes it possible for the models to work in the same style. The simulation results are shown, which showed that the resulting fuel consumption during the simulation of the fuel metering unit is in the range of the real unit, which shows the validity of this approach to modeling and research of the fuel supply system.