航空科学技术2024，Vol.35Issue(4)：90-96,7.DOI:10.19452/j.issn1007-5453.2024.04.012
人工神经网络在飞机下沉速度控制中的应用
Application of Artificial Neural Network in Aircraft Sinking Speed Control
解丰安 1舒成辉 1蒋启登1
作者信息
- 1. 中国飞行试验研究院,陕西 西安 710089
- 折叠
摘要
Abstract
The sinking speed refers to the vertical speed of the center of gravity of the aircraft at the time of landing and grounding,which is directly related to the load of the aircraft landing device when grounding.In the landing test to assess the strength and rigidity of the aircraft landing gear,the national military standard has specific requirements for the sinking speed of the aircraft,but in actual operation,due to the interference of various external factors,it is difficult for pilots to use existing means to accurately control the aircraft to achieve the sinking speed required by the standard.Through reasonable analysis,several flight parameters affecting the descent speed of land-based aircraft are selected,and the measured flight data of these parameters are used as the input and output of MATLAB artificial neural network model,and good prediction results are obtained,and new ideas and methods for controlling the sinking speed of land-based aircraft are explored.关键词
着陆试验/飞机下沉速度/着陆飞行控制方法/人工神经网络Key words
landing test/aircraft sinking speed/landing flight control methods/artificial neural networks分类
航空航天引用本文复制引用
解丰安,舒成辉,蒋启登..人工神经网络在飞机下沉速度控制中的应用[J].航空科学技术,2024,35(4):90-96,7.
