Study on UAV flight based identification technology

Chuntao Cai, Fugui Li, Qunli Xia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to verify the feasibility of applying identification technology to engineering control of such air vehicles as missiles, by taking into consideration the flight authenticity, repeatability, safety and reliability, the unmanned aerial vehicle (UAV) similar to missile flight control is selected as the controlled object. Based on identification theory and control guidance theory, this paper firstly makes theoretical analysis on UAV's identification technology, and then conducts flight practice to verify the theory. Firstly, The feasibility of UAV's closed-loop identification and the generation of excitation signals are studied. Secondly, identification experiments platform, namely UAV system platform, is constructed, including hardware platform and such software platforms as control guidance, signal transmission and data collection. Thirdly, multiple flight identification experiments are conducted on UAV, thus obtaining identification data. Finally, the mathematical model of UAV is obtained through analyzing and processing data, and this model is verified in time domain and frequency domain. Through a series of simplification method, a mathematical model, which is available in engineering, simplified and close to reality, is achieved, and its correctness is verified at last. The results show that identification's theory and ideology can be entirely applied to the engineering practice controlled by actual air vehicles.

Original languageEnglish
Title of host publicationInternational Conference on Automatic Control and Artificial Intelligence, ACAI 2012
Pages1996-2000
Number of pages5
Edition598 CP
DOIs
Publication statusPublished - 2012
EventInternational Conference on Automatic Control and Artificial Intelligence, ACAI 2012 - Xiamen, China
Duration: 3 Mar 20125 Mar 2012

Publication series

NameIET Conference Publications
Number598 CP
Volume2012

Conference

ConferenceInternational Conference on Automatic Control and Artificial Intelligence, ACAI 2012
Country/TerritoryChina
CityXiamen
Period3/03/125/03/12

Keywords

  • Identification
  • Least-square method
  • Unmanned aero vehicle

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