Attitude estimation of MAV based on fusion algorithm

Min Xu*, Yanxuan Wu, Zhengjie Wang, Cheng Li, Ningjun Fan

*Corresponding author for this work

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

Abstract

A fusion algorithm for attitude estimation of MAV(Micro Aerial Vehicle) is presented. The algorithm use quaternion to represent rotation. Attitude quaternion errors and drift bias of gyros are selected to construct a Kalman filter state vector. The output of GPS is used to correct the accelerometer readings. The local earth magnetic and gravity are used to compute observation of Kalman filter by Levenberg-Marquardt algorithm. The algorithm can converge quickly to rotation attitude of small flight vehicle.

Original languageEnglish
Title of host publicationProceedings - 2011 3rd International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2011
Pages36-38
Number of pages3
DOIs
Publication statusPublished - 2011
Event3rd International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2011 - Hangzhou, China
Duration: 26 Aug 201127 Aug 2011

Publication series

NameProceedings - 2011 3rd International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2011
Volume2

Conference

Conference3rd International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2011
Country/TerritoryChina
CityHangzhou
Period26/08/1127/08/11

Keywords

  • Kalman filter
  • Levenberg-Marquardt algorithm
  • attitude estimation
  • fusion algorithm

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