DocumentCode :
1795114
Title :
Real-time simulation for online identification of aircraft parameters using Fourier transform regression
Author :
Lu, X.J. ; Chen, Qian ; Li, Peng ; Zheng, Z.Q.
Author_Institution :
Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2014
fDate :
8-10 Aug. 2014
Firstpage :
1373
Lastpage :
1378
Abstract :
Online identification of aircraft parameters allows more intelligent control methods to be adopted. However, performing real flight tests during the development process of an identification algorithm is very difficult. This paper presents a real-time simulation system for online identification experiments that uses double computers with MATLAB and X-Plane flight simulation software. The computers communicate with each other using the user datagram protocol in real time. The simulation system was employed with an identification algorithm called Fourier transform regression to identify the aerodynamic and control derivatives online. The results indicated that the proposed scheme performed well.
Keywords :
Fourier transforms; aerodynamics; aerospace simulation; aerospace testing; aircraft control; intelligent control; protocols; regression analysis; Fourier transform regression; MATLAB; X-Plane flight simulation software; aerodynamic derivative; aircraft parameter; control derivative; flight test; identification algorithm; intelligent control method; online identification experiment; real-time simulation system; user datagram protocol; Aerodynamics; Aircraft; Atmospheric modeling; MATLAB; Mathematical model; Parameter estimation; Real-time systems; Fourier Transform Regression; UDP; parameter identification; real-time simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4799-4700-3
Type :
conf
DOI :
10.1109/CGNCC.2014.7007397
Filename :
7007397
Link To Document :
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