航空科学技术2016，Vol.27Issue(5)：27-32,6.
基于试飞数据的航空发动机加力瞬态过程模型辨识
ldentiifcation of Aero-engine Afterburner Transient Process Based on Flight Test Data
潘鹏飞 1雷杰 1马明明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
For monitoring a type aero-engine’s state during process of idle to maximum and maximum to idle,based on the actual flight test data,the afterburner transients model has been identified using three-layers forward artificial neural networks. The model precision was analyzed based model output error methods,and then the identified model was validated on out-of-sample flight test data. lt shows that the state of afterburner indicator has been well predicted and the turbofan’s state parameter agree well with actual flight test data during afterburner transients. The identified model could be applied in real-time monitoring during such type aero-engine’s flight test,meanwhile could be a reference for other aero-engine’s model identification.关键词
加力瞬态过程/模型辨识/人工神经网络/飞行试验/航空发动机Key words
afterburner transients/model identification/artificial neural networks/flight test/aero engine分类
航空航天引用本文复制引用
潘鹏飞,雷杰,马明明..基于试飞数据的航空发动机加力瞬态过程模型辨识[J].航空科学技术,2016,27(5):27-32,6.
