Modified Searchless Method for Identification of Helicopters Turboshaft Engines at Flight Modes Using Neural Networks

EasyChair Preprint 8971

Abstract

This work is devoted to the improvement of the automatic control system of helicopters turboshaft engines through the introduction of a block of signal adaptation of engine parameters into it using a modified method of searchless identification. The implementation of the proposed solutions is carried out using the NEWFF multilayer neural network, which made it possible to significantly reduce the maximum absolute error compared to the least squares method

Keyphrases: helicopters turboshaft engines, neural network, searchless method, training

@booklet{EasyChair:8971,
  author    = {Serhii Vladov and Yurii Shmelov and Ruslan Yakovliev},
  title     = {Modified Searchless Method for Identification of Helicopters Turboshaft Engines at Flight Modes Using Neural Networks},
  howpublished = {EasyChair Preprint 8971},
  year      = {EasyChair, 2022}}