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A small unmanned aerial vehicle for polar research

  • Beihang University

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

Abstract

Focusing on the polar extreme environment, this paper proposed a small unmanned aerial vehicle for polar scientific research. To get precise attitude information, an adaptive kalman filter algorithm is proposed to fuse GPS, gyro, accelerator sensor information. Moreover, an optimal fuzzy logic control algorithm is trained to adjust the heading angle in real time to improve system adaptability for the wind disturbance. Based on sensor information, the small unmanned aerial vehicle can keep a good performance in the following wind, upwind, turning, etc. Finally, the effectiveness of the small unmanned aerial vehicle is proved by a series of experiments and polar science research.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Automation and Logistics, ICAL 2008
Pages1178-1183
Number of pages6
DOIs
StatePublished - 2008
EventIEEE International Conference on Automation and Logistics, ICAL 2008 - Qingdao, China
Duration: 1 Sep 20083 Sep 2008

Publication series

NameProceedings of the IEEE International Conference on Automation and Logistics, ICAL 2008

Conference

ConferenceIEEE International Conference on Automation and Logistics, ICAL 2008
Country/TerritoryChina
CityQingdao
Period1/09/083/09/08

Keywords

  • Adaptive kalman filter
  • Fuzzy logic control
  • Path-following control
  • Unmanned aerial vehicle

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