Affiliation:
1. School of Aeronautics and Astronautics, Sichuan University, Chengdu, Sichuan, 610065China
Abstract
AbstractTo resolve the problem of low estimation accuracy of compressor characteristic parameters based on traditional Kriging model, an improved interpolation method of aircraft engine compressor characteristic parameters based on the Kriging algorithm is proposed. Considering the distribution feature of original data, a high dimensional model is built. By defining the relationship between input and output data, an unknown vector composed of characteristic parameters at a certain speed of $${n_d}$$ can be calculated based on the Kriging model. Furthermore, a sub-model is established by the calculated data and an unknown single target at the speed of $${n_d}$$ can be calculated. Adopt the compressor characteristic parameters of an engine to identify the feasibility of this method. Set the efficiency coefficients and flow coefficients as the unknown characteristic parameters. Simulation results illustrate that the proposed is effective and efficient.
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