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
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