Sun, Yang (China North Vehicle Research Institute), Li, Yuzeng (Dalian University of Technology), He, Xiaoqing (Dalian Maritime University), Tan, Bitong (China North Vehicle Research Institute), Wang, Dong (Liaoning Huanghai Laboratory, Dalian University of Technology, D), XU, Changyi (Dalian University of Technology), Zhao, Ying (Dalian Maritime University)

Research on a Hybrid Modeling Framework for Engine Gas Path Parameter Prediction

Scheduled for presentation during the Regular session "Powertrain Control II" (FrB3), Friday, November 1, 2024, 11:30−11:50, Room T3

7th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, Oct 30 - Nov 1, 2024, Dalian, China

This information is tentative and subject to change. Compiled on May 16, 2025

Abstract

In order to address the problem of accuracy decline of modern gas turbine engine when facing component level performance degradation (CLPD), this paper proposes a hybrid modeling method for gas turbine engine gas path parameter prediction method. Firstly, overall structure of the proposed method is introduced with some preliminary knowledge. Secondly, as a representative for complex thermodynamic system, aero-engine is selected to validate the effectiveness of the method. Lastly, experiment results and discussion is illustrated. As a result, the prediction accuracy of the hybrid modeling framework can meet the function and performance requirements for gas turbine engines. The proposed modeling framework lays an important foundation for gas turbine engine gas path parameter prediction.