An algorithm of online wind field estimation for small fixed-wing UAVs

Yaohong Qu, Jingjun Duan, Youmin Zhang

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

1 Scopus citations

Abstract

Roll angle and sideslip angle were usually ignored in the traditional wind field estimation for small fixed-wing UAVs. Aimed at solving this problem, a new algorithm is proposed in this paper. Firstly, the model with roll angle and sideslip angle considered is established and the error curves of roll angle and sideslip angle are obtained. Secondly, the estimated values of roll angle and sideslip angle are got from Kalman filter. Finally, simulation based on multi-step estimation is carried out to verify the designed algorithm. Simulations show that the proposed algorithm achieves good performance.

Original languageEnglish
Title of host publicationProceedings of the 35th Chinese Control Conference, CCC 2016
EditorsJie Chen, Qianchuan Zhao, Jie Chen
PublisherIEEE Computer Society
Pages10645-10650
Number of pages6
ISBN (Electronic)9789881563910
DOIs
StatePublished - 26 Aug 2016
Event35th Chinese Control Conference, CCC 2016 - Chengdu, China
Duration: 27 Jul 201629 Jul 2016

Publication series

NameChinese Control Conference, CCC
Volume2016-August
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference35th Chinese Control Conference, CCC 2016
Country/TerritoryChina
CityChengdu
Period27/07/1629/07/16

Keywords

  • Kalman filter
  • multi-step estimation
  • unmanned aerial vehicles (UAVs)
  • wind field estimation

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