南京航空航天大学学报（英文版）2025，Vol.42Issue(2)：212-225,14.DOI:10.16356/j.1005-1120.2025.02.006
基于旋翼性能变化的飞机结冰探测方法研究
An Aircraft Icing Detection Method Based on Performance Data of Rotor
摘要
Abstract
Existing icing detection technologies face challenges when applied to small and medium-sized aircraft,especially electric vertical take-off and landing(eVTOL)aircraft that meet the needs of low-altitude economic development.This study proposes a data-driven icing detection method based on rotor performance evolution.Through dry-air baseline tests and dynamic icing comparative experiments(wind speed 0-30 m/s,rotational speed 0-3 000 r/min,collective pitch 0°—8°)of a 0.6 m rotor in the FL-61 icing wind tunnel,a multi-source heterogeneous dataset containing motion parameters,aerodynamic parameters,and icing state identifiers is constructed.An innovative signal processing architecture combining adaptive Kalman filtering and moving average cascading is adopted.And a comparative study is conducted on the performance of support vector machine(SVM),multilayer perceptron(MLP),and random forest(RF)algorithms,achieving real-time identification of icing states in rotating components.Experimental results demonstrate that the method exhibits a minimum detection latency of 6.9 s and 96％overall accuracy in reserved test cases,featuring low-latency and low false-alarm,providing a sensor-free lightweight solution for light/vertical takeoff and landing aircraft.关键词
旋翼/螺旋桨/飞机结冰/结冰探测/机器学习/支持向量机/多层感知机Key words
rotor/propeller/aircraft icing/icing detection/machine learning/support vector machine(SVM)/multilayer perceptron(MLP)引用本文复制引用
吴渊,朱东宇,许岭松,于雷..基于旋翼性能变化的飞机结冰探测方法研究[J].南京航空航天大学学报（英文版）,2025,42(2):212-225,14.基金项目
This work was supported in part by the National Key R&D Program of China(No.2022YFE02-03700),and the Aeronautical Science Foundation of China(No.2023Z010027001).The authors would like to acknowl-edge the following people for their assistance:GUO Jin,LIU Nan,JIANG Xinkai,ZHANG Jinlong,and NIE Xin. （No.2022YFE02-03700）
