摘要：An accurate engine model is particularly important for performance analyses and fault diagnoses, and its accuracy depends mainly on an engine component's characteristic map (Map), which is a kind of engine adaptive method for matching the predicted data of the engine simulation model with the experimental data and obtaining the component Map reversely. Due to assembly and manufacturing tolerances, there are some differences between the Maps of individual engine components, even in the same types of engines. Due to the nonlinear compressor characteristics, Maps are difficult to capture over a wide speed range. In this paper, a new adaptive compressor Map method is proposed. The compressor Map is expressed as a set of Bézier curves, and the control points of the Bézier curves are adjusted by a genetic algorithm so that the predicted gas path parameters of the engine model can match the target gas path parameters. The proposed method is compared and tested with other adaptive methods on a turbojet engine. The results show that this method can significantly improve the simulation accuracy of individual engines of the same type, which is very important for fleet management in civil aviation companies.
