Study of filtering algorithm for agile projectile's attitude determination

Yong Wang*, Zhide Liu, Jiabin Chen, Chunlei Song

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

In this paper, a filtering algorithm is studied for the agile projectile's attitude determination. An incomplete inertial measurement unit (IMU) composed of only three low-cost micro electro-mechanical system (MEMS) accelerometers is used to determinate the attitude of agile projectile. Considering the gravity vector remains constant around the firing position in a short time, the agile projectile's attitude and rotary speed in flight is estimated by using filtering algorithm according to the information of three accelerometers. The experimental results in three-axis flight rotary table show that the filtering algorithm in this paper quickly converges and the precision of estimation is high.

Original languageEnglish
Title of host publicationPIAGENG 2009 - Intelligent Information, Control, and Communication Technology for Agricultural Engineering
DOIs
Publication statusPublished - 2009
EventPIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering - Zhangjiajie, China
Duration: 11 Jul 200912 Jul 2009

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7490
ISSN (Print)0277-786X

Conference

ConferencePIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering
Country/TerritoryChina
CityZhangjiajie
Period11/07/0912/07/09

Keywords

  • Attitude determination
  • Inertial measurement unit
  • Nonlinear filter
  • Unscented Kalman filter

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