Distributed filtering estimation method for improving gas path performance of turbofan engine

Abstract

The invention discloses a distributed filtering estimation method for improving gas path performance of a turbofan engine. The method comprises: firstly establishing a nonlinear component-level general model of a state above an idler of the turbofan engine, and designing a distributed extended Kalman filter to improve the local filtering algorithm of a sub-filter and improve the stability and accuracy of the filtering algorithm for the phenomenon of the packet loss of a sensor signal; then designing an adaptive algorithm by using a variance matching method in a main filter to improve the response speed to a sudden fault; and finally integrating the nonlinear calculation content comprising model linearization prior estimation and prior measurement in the sub-filter into the main filter, sothat the sub-filter only performs a linear calculation, and the main filter performs all the nonlinear calculations. According to the distributed filtering estimation method for improving the gas pathperformance of the turbofan engine, the problem of the decrease in the estimation accuracy caused by data the packet loss in an existing distributed gas path performance estimation of an aircraft engine in an existing envelope is solved, and the problem that the sub-filter has an insufficient calculation capability and cannot satisfy the real-time performance is solved.

Description

technical field [0001] The invention relates to the technical field of performance estimation of aero-engine gas path components, in particular to a distributed filter estimation method for improving gas path performance of a turbofan engine. Background technique [0002] As the heart of an aircraft, an aeroengine has a complex structure and a harsh working environment. Engine fault diagnosis technology is an important means to ensure engine performance and reliability, and reduce maintenance costs. During the service of aero-engines, the performance of components will inevitably deteriorate. The failure of gas circuit components affects the performance and reliability of aeroengines, and it is necessary to estimate them accurately. With the development of computer technology and the improvement of nonlinear filtering theory, the performance estimation algorithm based on Kalman filter has become a research hotspot in this field, and many nonlinear filtering methods have be...

AI Technical Summary

Problems solved by technology

In the framework of distributed filtering, the computing power of the sub-filter is poor, and it takes a long time to call the engine model for nonlinear calculation, which is not conducive to the real-time performance of filtering

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