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
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;
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
DOI :
10.1109/ChiCC.2015.7259958