基于神经网络的直升机涡轴发动机飞行模式改进无搜索识别方法

2022 IEEE 3rd KhPI Week on Advanced Technology (KhPIWeek) Pub Date : 2022-10-03 DOI:10.1109/KhPIWeek57572.2022.9916422

S. Vladov, Yurii Shmelov, Ruslan Yakovliev

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引用次数: 4

摘要

本文采用一种改进的无搜索识别方法，在直升机涡轴发动机自动控制系统中引入发动机参数自适应信号块，改进了直升机涡轴发动机自动控制系统。利用NEWFF多层神经网络实现所提出的解决方案，与最小二乘法相比，可以显著降低最大绝对误差。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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2022 IEEE 3rd KhPI Week on Advanced Technology (KhPIWeek)

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