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

doi:10.16182/j.issn1004731x.joss.201808013

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.

Key words: aircraft engine, adaptive model, UKF (Unscented Kalman Filter), strong tracking filter, performance tracking

CLC Number:

TP391.9

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.

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