Application of Recursive Least Square Algorithm in Aircraft Multi-Parameter Identification

被引：0

作者：

Feng Zhenyu ^{[1
]}

Wang Jin ^{[1
]}

Wu Huzi ^{[2
]}

机构：

[1] Civil Aviat Univ China, Coll Aeronaut Engn, Tianjin 300300, Peoples R China

[2] First Aircraft Design Inst, Gen Aerodynam Dept, Yanliang 710089, Peoples R China

来源：

2011 AASRI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRY APPLICATION (AASRI-AIIA 2011), VOL 1 | 2011年

关键词：

Multi-parameter; RLSA; On-line and real time; Estimate precision; Applied value;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Aircraft multi-parameters identification is the one of main approaches for simulating and validating aircraft system in aircraft design, it is very important to accurately reflect performance of flight control system with multiplex system and complexity of aircraft. In order to reveal the authenticity of aircraft, the recursive Least Square Algorithm(RLSA) is presented, therefore, the multi-parameter is recognized in real time and on-line. RLSA is based on recursive process to continually update information, the estimate precision of parameters are improved, especially in adaptive control system of many parameters. The transfer function coefficients of aircraft are identified by using RLSA., it is illustrated that rapid recognition velocity, high identification precision and excessive recognition parameters are possessed. In engineer, it has certain reference and applied values.

引用

页码：123 / 126

页数：4