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

Matthew Rhudy

doi:10.1109/MWSCAS.2017.8053195

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

Matthew Rhudy

Division of Engineering, Business & Computing (Berks)

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1406-1409
Number of pages	4
ISBN (Electronic)	9781509063895
DOIs	https://doi.org/10.1109/MWSCAS.2017.8053195
State	Published - Sep 27 2017
Event	60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017 - Boston, United States Duration: Aug 6 2017 → Aug 9 2017

Publication series

Name	Midwest Symposium on Circuits and Systems
Volume	2017-August
ISSN (Print)	1548-3746

Other

Other	60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017
Country/Territory	United States
City	Boston
Period	8/6/17 → 8/9/17

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

Access to Document

10.1109/MWSCAS.2017.8053195

Cite this

Rhudy, M. (2017). A dynamic model-aided sensor fusion approach to aircraft attitude estimation. In 2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017 (pp. 1406-1409). Article 8053195 (Midwest Symposium on Circuits and Systems; Vol. 2017-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MWSCAS.2017.8053195

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title = "A dynamic model-aided sensor fusion approach to aircraft attitude estimation",

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.",

author = "Matthew Rhudy",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017 ; Conference date: 06-08-2017 Through 09-08-2017",

year = "2017",

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day = "27",

doi = "10.1109/MWSCAS.2017.8053195",

language = "English (US)",

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Rhudy, M 2017, A dynamic model-aided sensor fusion approach to aircraft attitude estimation. in 2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017., 8053195, Midwest Symposium on Circuits and Systems, vol. 2017-August, Institute of Electrical and Electronics Engineers Inc., pp. 1406-1409, 60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017, Boston, United States, 8/6/17. https://doi.org/10.1109/MWSCAS.2017.8053195

A dynamic model-aided sensor fusion approach to aircraft attitude estimation. / Rhudy, Matthew.
2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1406-1409 8053195 (Midwest Symposium on Circuits and Systems; Vol. 2017-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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BT - 2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017

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ER -

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

Abstract

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All Science Journal Classification (ASJC) codes

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