Beta
23254

Improved Hybrid Kalman Filter for In-Flight Aircraft Engine Performance Estimation

Article

Last updated: 04 Jan 2025

Subjects

-

Tags

-

Abstract

This paper proposes an improved hybrid Kalman filter(IHKF) for in-flight aircraft engine performance estimation. It's a special hybrid structure of nonlinear on-board engine model(NOBEM) and piecewise linear Kalman filter(PWKF). The outputs of NOBEM is regarded as the baseline of PWKF, while its performance deterioration factors(PDF) regarded as the augmented state vector of PWKF is on-line estimated by the deviation of measured outputs, and fed back to NOBEM which can be on-line updated next time. In addition, the finite state machine logic of work mode has been established, which can make the IHKF work better. By this approach applied to a turbofan engine, a series of simulation results show that the model can estimate the real engine performance effectively in the whole flight envelope, different engine states and severe performance deterioration condition, which lays the foundation for intelligent engine control(IEC), performance seeking control(PSC) and inflight fault detection, isolation and accommodation (FDIA).

DOI

10.21608/asat.2011.23254

Keywords

in-flight aircraft engine performance estimation, hybrid Kalman filter, piecewise linear Kalman filter

Authors

First Name

LU

Last Name

Jun

MiddleName

-

Affiliation

School of Power and Energy, Northwestern Polytechnical University, Xi'an 710072, China.

Email

-

City

-

Orcid

-

First Name

GUO

Last Name

Yingqing

MiddleName

-

Affiliation

School of Power and Energy, Northwestern Polytechnical University, Xi'an 710072, China.

Email

-

City

-

Orcid

-

First Name

ZHANG

Last Name

shugang

MiddleName

-

Affiliation

School of Power and Energy, Northwestern Polytechnical University, Xi'an 710072, China.

Email

-

City

-

Orcid

-

Volume

14

Article Issue

AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011

Related Issue

4330

Issue Date

2011-05-01

Receive Date

2019-01-01

Publish Date

2011-05-01

Page Start

1

Page End

10

Print ISSN

2090-0678

Online ISSN

2636-364X

Link

https://asat.journals.ekb.eg/article_23254.html

Detail API

https://asat.journals.ekb.eg/service?article_code=23254

Order

32

Type

Original Article

Type Code

737

Publication Type

Journal

Publication Title

International Conference on Aerospace Sciences and Aviation Technology

Publication Link

https://asat.journals.ekb.eg/

MainTitle

Improved Hybrid Kalman Filter for In-Flight Aircraft Engine Performance Estimation

Details

Type

Article

Created At

22 Jan 2023