A Novel AHRS Estimation Algorithm of Small UAV

Yue Yang, Xiaoxiong Liu, Xuhang Liu, Yicong Guo, Weiguo Zhang

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

Abstract

Aimed at nonlinear attitude and heading reference and system(AHRS) solution accuracy, this paper presents a novel attitude model of the Singular Value Decomposition (SVD) Cubature Kalman Filter (SVDCKF) fusion algorithm. Firstly, this paper designs the attitude integrated model of small UAV, and uses quaternion to update attitude. Then, in order to solve the nonlinear attitude model, this paper present the SVDCKF to improve the attitude solution accuracy. Finally, the results of numerical simulation and experimental test verify the proposed algorithm has the high attitude accuracy and can meet the flying attitude requirements of small UAV.

Original languageEnglish
Title of host publicationAdvances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020
EditorsLiang Yan, Haibin Duan, Xiang Yu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages195-205
Number of pages11
ISBN (Print)9789811581540
DOIs
StatePublished - 2022
EventInternational Conference on Guidance, Navigation and Control, ICGNC 2020 - Tianjin, China
Duration: 23 Oct 202025 Oct 2020

Publication series

NameLecture Notes in Electrical Engineering
Volume644 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Guidance, Navigation and Control, ICGNC 2020
Country/TerritoryChina
CityTianjin
Period23/10/2025/10/20

Keywords

  • AHRS
  • Attitude integrated model
  • Small UAV
  • SVDCKF

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