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基于双层平衡流形展开模型的涡扇发动机系统辨识

朱麟海 丁恩良 刘佳琦 佟晓龙 陈闯 孙圣瀚 马乙超

航空科学技术2026,Vol.37Issue(1):92-102,11.
航空科学技术2026,Vol.37Issue(1):92-102,11.DOI:10.19452/j.issn1007-5453.2026.01.011

基于双层平衡流形展开模型的涡扇发动机系统辨识

Gas Turbine System Identification Using a Bilayer Equilibrium Manifold Expansion Model

朱麟海 1丁恩良 1刘佳琦 1佟晓龙 1陈闯 1孙圣瀚 1马乙超1

作者信息

  • 1. 航空工业沈阳飞机设计研究所,辽宁沈阳 110030
  • 折叠

摘要

Abstract

To address the applicability issues of traditional single-input system identification methods in turbofan engine control and fault diagnosis,particularly their limitations in handling highly nonlinear dynamic characteristics and multiple input-output relationships,this paper proposes an input dimension expansion method based on similarity theory and affine structure.By integrating the reduced-order equilibrium manifold expansion(EME)model with the multi-cell equilibrium manifold expansion model,this method enables multi-input modeling within the framework of a single-input equilibrium manifold expansion model.The effectiveness of the proposed dual-layer equilibrium manifold expansion model is validated through theoretical analysis and simulation experiments.The results demonstrate that the maximum error of the proposed model is only 1.309%,significantly lower than that of other models,while its average error range is merely one-fourth of that of the NARX network model.Compared to traditional nonlinear models(such as Wiener,Hammerstein,Hammerstein-Wiener,and NARX network models),the proposed model exhibits superior accuracy and computational stability.This study lays a crucial foundation for future model-based research on fault detection,isolation,and control in turbofan engines.

关键词

系统辨识/双层平衡流展开模型/多胞系统/相似理论

Key words

system identification/bilayer equilibrium manifold expansion model/multi-cell system,similarity theory

分类

航空航天

引用本文复制引用

朱麟海,丁恩良,刘佳琦,佟晓龙,陈闯,孙圣瀚,马乙超..基于双层平衡流形展开模型的涡扇发动机系统辨识[J].航空科学技术,2026,37(1):92-102,11.

基金项目

航空科学基金(2022Z071001007) Aeronautical Science Foundation of China(2022Z071001007) (2022Z071001007)

航空科学技术

1007-5453

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