APPLICATION OF LEAST SQUARE SUPPORT VECTOR REGRESSION TO AEROENGINE ADAPTIVE MODELING

摘要

In this paper a new method based on least square support vector regression is proposed for aero engine adaptive real time modeling. It is thought that output data of aero engine will bias their nominal values in any cases of non-nominal work. So the biases of output data can be used to represent the non-nominal work conditions of the aero engine. The aero engine performance parameters deterioration is obtained through the mapping relationship between the measured output biases and the aero engine performance parameters deterioration. That is based on the least square support vector regression algorithm. When the deteriorations is got, the onboard model can be modified, after this the output of onboard model are the same as those of the real aero engine, and real time onboard model has the abilities of adaptation.