NOVEL WEIGHTED LEAST SQUARES SUPPORT VECTOR REGRESSION FOR THRUST ESTIMATION ON PERFORMANCE DETERIORATION OF AERO-ENGINE

作     者：苏伟生 赵永平 孙健国 Su Weisheng;Zhao Yongping;Sun Jianguo

作者机构：中国航空工业集团公司航空推力控制系统研究所 南京理工大学智能弹药技术国防重点实验室 南京航空航天大学能源与动力学院 

基　　金：Supported by the National Natural Science Foundation of China(51006052) the Nanjing University of Science and Technology Outstanding Scholar Supporting Program 

出 版 物：《Transactions of Nanjing University of Aeronautics and Astronautics》 (南京航空航天大学学报（英文版）)

年 卷 期：2012年第29卷第1期

页      码：25-32页

摘      要：A thrust estimator with high precision and excellent real-time performance is needed to mitigate perfor- mance deterioration for future aero-engines. A weight least squares support vector regression is proposed using a novel weighting strategy. Then a thrust estimator based on the proposed regression is designed for the perfor- mance deterioration. Compared with the existing weighting strategy, the novel one not only satisfies the require- ment of precision but also enhances the real-time performance. Finally, numerical experiments demonstrate the effectiveness and feasibility of the proposed weighted least squares support vector regression for thrust estimator. Key words ： intelligent engine control; least squares ; support vector machine ; performance deterioration

主 题 词：intelligent engine control least squares support vector machine performance deterioration 

学科分类：082502[082502] 08[工学] 080203[080203] 0802[工学-机械学] 0825[工学-环境科学与工程类] 

核心收录：

D　O　I：10.3969/j.issn.1005-1120.2012.01.004

馆 藏 号：203149701...