Identification Model of Aeroengine Based on Improved LS-SVM

被引：0

作者：

Cai, Kailong ^{[1
]}

Yao, Wuwen ^{[1
]}

Lv, Boping ^{[1
]}

机构：

[1] First Aeronaut Inst AF, Xinyang 464000, Peoples R China

来源：

2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年

关键词：

Aeroengine; Improved LS-SVM; Identification Model; Nonlinear System;

D O I：

10.1109/WCICA.2008.4594065

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Because of aeroengine properties such as the strong nonlinearity and time-varying uncertainty, a new identification algorithm of aeroengine model based on improved LS-SVM was brought forward. In the method, LS-SVM robustness was improved by adding weighed values to errors and its sparseness was improved by clipping algorithm. In terms of the recorded flight data on some turbofan engine, improved LS-SVM identification model of aeroengine was set up. Through the identification of the recorded flight data, the results show that the improved LS-SVM identification model has the advantages of high identification precision, good self-adaptability and strong robustness. It is effective that the improved LS-SVM identification model is used in aeroengine.

引用

页码：7368 / 7373

页数：6