DocumentCode
2246817
Title
Online identification of time-variant parameters using the frequency transform regressive method
Author
Xingju, Lu ; Hongwu, Guo ; Zhiqiang, Zheng
Author_Institution
College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, P.R. China 410073
fYear
2015
fDate
28-30 July 2015
Firstpage
2099
Lastpage
2104
Abstract
Online identification and real-time aircraft model updating allows the adoption of more intelligent control methods. An identification algorithm called Fourier Transform Regression that uses the recursive Fourier transform and least-square methods is employed to identify the aerodynamic and control derivatives online. The main contribution of this paper is to adopt a vector of forgetting factors for tracking the time-varying parameters in system dynamics. Simulation results indicate that the proposed scheme works well.
Keywords
Aerodynamics; Aircraft; Atmospheric modeling; Estimation; Mathematical model; Parameter estimation; Time-frequency analysis; Fourier Transform Regression; Parameter identification; fault estimation; time-varying systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2015 34th Chinese
Conference_Location
Hangzhou, China
Type
conf
DOI
10.1109/ChiCC.2015.7259958
Filename
7259958
Link To Document