TY - GEN
T1 - Study on Versatile Modular Engine Performance Simulation Platform
AU - Deng, Li
AU - Chen, Min
AU - Tang, Hailong
AU - Zhang, Jiyuan
AU - Liu, Yudong
AU - Xiao, Yi
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - With the development of aviation industry, advances in engine modeling have become synonymous with increased complexity. In this paper, we present a versatile modular engine performance simulation platform based on MATLAB/SIMULINK to build an integrated system for engine performance and analysis. The platform provides standard components for engine models and allows users to introduce new function modules for novel engines. Given that the Newton-Raphson method has a second-order convergence rate, the steady state model is still solved using a Newton-Raphson solver. To address the complexity of high-dimensional issue in engine modeling, several “Turbomachine-volume” systems are established to transfer it into multiple simple and linear issues. In addition, auxiliary volume modules are built to pass the downstream imbalance information upstream. Based on this component-level engine model, we developed an installed performance estimation tool that quantifies installation loss due to matching with the inlet and nozzle to reduce the iteration times of aircraft and engine co-design. By comparing with Gasturb and test values, the deviation of section parameters and performance parameters are both within 4.26%. The relative errors between simulation results and test value in acceleration process are less than 4.4%, while variable cycle engines enable mode transition processes as well. The versatile engine simulation platform established in this paper is highly accurate, expandable, and efficient, providing a flexible and efficient tool for optimizing aircraft engine design parameters, designing control systems, diagnosing faults, etc.
AB - With the development of aviation industry, advances in engine modeling have become synonymous with increased complexity. In this paper, we present a versatile modular engine performance simulation platform based on MATLAB/SIMULINK to build an integrated system for engine performance and analysis. The platform provides standard components for engine models and allows users to introduce new function modules for novel engines. Given that the Newton-Raphson method has a second-order convergence rate, the steady state model is still solved using a Newton-Raphson solver. To address the complexity of high-dimensional issue in engine modeling, several “Turbomachine-volume” systems are established to transfer it into multiple simple and linear issues. In addition, auxiliary volume modules are built to pass the downstream imbalance information upstream. Based on this component-level engine model, we developed an installed performance estimation tool that quantifies installation loss due to matching with the inlet and nozzle to reduce the iteration times of aircraft and engine co-design. By comparing with Gasturb and test values, the deviation of section parameters and performance parameters are both within 4.26%. The relative errors between simulation results and test value in acceleration process are less than 4.4%, while variable cycle engines enable mode transition processes as well. The versatile engine simulation platform established in this paper is highly accurate, expandable, and efficient, providing a flexible and efficient tool for optimizing aircraft engine design parameters, designing control systems, diagnosing faults, etc.
KW - Engine overall performance
KW - Installed performance
KW - Versatile simulation platform
KW - Volume method
UR - https://www.scopus.com/pages/publications/85200222745
U2 - 10.1007/978-981-97-3998-1_135
DO - 10.1007/978-981-97-3998-1_135
M3 - 会议稿件
AN - SCOPUS:85200222745
SN - 9789819739974
T3 - Lecture Notes in Electrical Engineering
SP - 1725
EP - 1741
BT - 2023 Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023, Proceedings - Volume I
A2 - Fu, Song
PB - Springer Science and Business Media Deutschland GmbH
T2 - Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023
Y2 - 16 October 2023 through 18 October 2023
ER -