Design of Aircraft Engine Adaptive Model Based on Improved Strong Tracking Filter

Authors

Xizhong Yang, Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, China;
Jianliang Ai, Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, China;

Abstract

Abstract: Due to deterioration under real working condition, the aircraft engine performance parameters of benchmark model don’t match the real engine. This problem was studied based on in-flight engine nonlinear real-time performance model considering the practical engineering application. Immeasurable health parameters were estimated from measurable sensor parameters by UKF (Unscented Kalman Filter) and STUKF (Strong Tracking UKF). The engine adaptive model was established through modifying the benchmark model’s performance parameters in Simulink. A method of improved STUKF was proposed. Simulation results showed that the precision of engine adaptive model was greatly increased which satisfied real-time and robustness requirements in dynamic process.

Recommended Citation

Yang, Xizhong and Ai, Jianliang (2019) "Design of Aircraft Engine Adaptive Model Based on Improved Strong Tracking Filter," Journal of System Simulation: Vol. 30: Iss. 8, Article 13.
DOI: 10.16182/j.issn1004731x.joss.201808013
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss8/13

First Page

2918

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201808013

Last Page

2927

CLC

TP391.9

Recommended Citation

Yang Xizhong, Ai Jianliang. Design of Aircraft Engine Adaptive Model Based on Improved Strong Tracking Filter[J]. Journal of System Simulation, 2018, 30(8): 2918-2927.

DOI

10.16182/j.issn1004731x.joss.201808013