Aircraft icing meteorological parameter MVD prediction method based on BP neural network

Abstract

The invention discloses a method for predicting icing meteorological parameters MVD based on a BP neural network. According to the relationship among the liquid water content LWC listed in the appendix C of the airworthiness standard [CCAR-25-R4] of Chinese transportation aircrafts, the average effective water drop diameter MVD and the ambient air temperature T, icing conditions under different flight conditions are calculated, and an icing thickness database with the ice thickness changing along with time is established; a BP neural network model is trained by using an icing thickness database, and icing meteorological parameters MVD are predicted by taking flight conditions (flight attack angle and flight speed) and temperature provided in real time and a mapping relationship between icing thickness and icing time as input. The method for predicting the MVD by combining the real-time flight parameters and the icing thickness based on the BP neural network is high in precision, smallin error, short in response time, capable of realizing real-time measurement, capable of providing effective and reliable technical support for icing airworthiness certification and considerable in application prospect.

Description

technical field [0001] The invention relates to the technical field of airworthiness certification testing for aircraft icing, in particular to a BP neural network-based MVD prediction method for aircraft icing meteorological parameters. Background technique [0002] When an aircraft passes through icy clouds containing supercooled water droplets, icing of the wings will occur, causing changes in the aerodynamic shape of the aircraft, resulting in degradation of aerodynamic performance and stability characteristics. In order to ensure flight safety, icing protection is generally designed and installed on the aircraft system. Real-time and accurate detection of icing meteorological parameters can provide accurate information and basis for the opening and closing of the anti-icing system, as well as the optimization of energy distribution and control rate, and is an important means to save energy and improve safety. In addition, in the airworthiness certification of aircraft ...

AI Technical Summary

Problems solved by technology

In addition, in the aircraft icing airworthiness certification, there are certain requirements for the atmospheric icing test environment. The variability of the atmospheric environment often causes great difficulties for the airworthiness certification, and it is not easy to generate a corresponding test environment.

Images