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.

关键词： adaptive model least square support vector aero engine

作者: TIANDi ZHANG Hai-bo

作者单位: College of Energy and Power Engineering Nanjing University of Aeronautics and Astronautics Nanjing, China

会议类型: 国际会议

会议名称: The 3rd International Symposium on Jet Propulsion and Power Engineering(第三届喷气推进与动力工程国际会议 ISJPPE)

会议地点: 南京

会议语种:英文

页码: 560-566

在线出版日期: 2010-09-13（万方平台首次上网日期，不代表论文的发表时间）