MODEL ON THE BASIS OF THE NEURAL NETWORK FOR THE PRESSURE SENSOR IN THE CAMERA OF COMBUSTION FOR TERRESTRIAL FIRE TESTS OF LRE
This article considers the problem of the reliability increase of the traction regulation system of the liquid-propellant rocket engine at the aboveground tests. In this article an realization of the regulation system by a majority principle "2 out of 3" for feedback gages is offered. The redundancy "2 out of 3" is implemented by the two pressure gages in the combustion chamber. The neural network in form of multi-layered perceptron is used as the third gage