A dynamic model-aided sensor fusion approach to aircraft attitude estimation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Attitude is an important consideration for aircraft due to its necessity for control and other purposes such as remote sensing. Sensor fusion techniques are a popular approach to attitude estimation since low-cost and lightweight sensors such as inertial sensors can be utilized. However, an additional source of information that has been mostly overlooked is the control inputs. This information is typically known, and when coupled with an aircraft dynamic model, can predict the aircraft states. This information when fused with other sensor measurements through Kalman filtering techniques offers a reasonable method for using all available information to predict aircraft attitude. This work presents the procedure for implementing this sensor fusion idea with some simulation results from a known aircraft dynamic model.

Original languageEnglish (US)
Title of host publication2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1406-1409
Number of pages4
ISBN (Electronic)9781509063895
DOIs
StatePublished - Sep 27 2017
Event60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017 - Boston, United States
Duration: Aug 6 2017Aug 9 2017

Publication series

NameMidwest Symposium on Circuits and Systems
Volume2017-August
ISSN (Print)1548-3746

Other

Other60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017
Country/TerritoryUnited States
CityBoston
Period8/6/178/9/17

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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