DocumentCode :
3110727
Title :
Model identification of a small-scale air vehicle for loitering control design
Author :
Wu, Huaiyu ; Sun, Dong ; Zhou, Zhaoying ; Xiong, Shenshu
Author_Institution :
Dept. of Autom., Wuhan Univ. of Sci. & Technol., China
Volume :
4
fYear :
2004
fDate :
April 26-May 1, 2004
Firstpage :
4035
Abstract :
This paper aims to investigate theoretically and experimentally the dynamic behaviors of the pitch and roll motions of a small-scale unmanned air vehicle in loitering flight. Two fourth-order ARX (AutoRegressive with eXogenous input) models are successfully identified, and the performance analysis is carried out based on the flight test data. The validity of the identified model is verified by both time domain model prediction and frequency domain spectral analysis. With the proposed ARX models, two compensators are further designed using a frequency technique to improve the transient performance of the pitch and roll control channels. Simulations and experiments demonstrate that the proposed ARX model-based compensation control design strategy can improve the flight performance.
Keywords :
aerodynamics; aerospace testing; aircraft control; autoregressive processes; compensation; frequency-domain analysis; identification; time-domain analysis; aerospace testing; compensation; flight test data; fourth order autoregressive exogenous input models; frequency domain spectral analysis; loitering control design; loitering flight; model identification; performance analysis; pitch; roll control channels; roll motions; small scale unmanned air vehicle; time domain model; Aerospace simulation; Control design; Frequency domain analysis; Performance analysis; Predictive models; Spectral analysis; Testing; Time domain analysis; Unmanned aerial vehicles; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on
ISSN :
1050-4729
Print_ISBN :
0-7803-8232-3
Type :
conf
DOI :
10.1109/ROBOT.2004.1308902
Filename :
1308902
Link To Document :
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