Adaptive Dynamic Modeling and Simulation for Variable Cycle Engine

DOI

10.2991/msbda-19.2019.17How to use a DOI?

Keywords

Variable cycle engine, Component level model, Health estimation, Adaptive model

Abstract

Advanced aircraft engine needs higher unit thrust and lower fuel consumption nowadays. The variable cycle engine (VCE) could meet these requirements, and it becomes the top choice of the new generation aircraft. It is a difficult task to find a satisfactory dynamic model that can well match the VCE during its life time due to the performance deterioration with the increase of service time. Besides, the more variables of control and actuator are involved. This paper presents an adaptive dynamic modeling method for the VCE based on the state estimation. It mainly contains the nonlinear component level modeling of VCE and self-tuning dynamic model combined with a distributed extended Kalman filter. The digital simulations are carried out to verify the effectiveness of the VCE modelling methodology.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Feng Lu
AU  - Zelong Zou
AU  - Jinquan Huang
PY  - 2019/08
DA  - 2019/08
TI  - Adaptive Dynamic Modeling and Simulation for Variable Cycle Engine
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)
PB  - Atlantis Press
SP  - 104
EP  - 111
SN  - 2352-538X
UR  - https://doi.org/10.2991/msbda-19.2019.17
DO  - 10.2991/msbda-19.2019.17
ID  - Lu2019/08
ER  -