NDLI: Smart sensor data processing for aerospace applications in education illustrated by small satellite platform demonstrator

Content Provider	IEEE Xplore Digital Library
Author	Paces, P. Popelka, J. Marchitto, E. Levora, T.
Copyright Year	2012
Description	Author affiliation: Czech Tech. Univ., Prague, Czech Republic (Paces, P.; Popelka, J.; Marchitto, E.; Levora, T.)
Abstract	This article describes a tasks for undergraduate students from the area of signal processing that is often used in aerospace for data fusion of different kinds of sensors onboard of an airplane or a spacecraft. It includes a Kalman filter merging angular rates, accelerations and vector of the magnetic field. These topics are illustrated on a remotely controlled educational platform and its internal Inertial Measurement Unit. The article describes a set of sequential topics that introduces students with Attitude Heading and Reference System data processing on a remotely controlled platform that contains all necessary sensors. The hands-on experiments with the remotely controlled platform presented in this article takes advantages of the existing technology and shifts the currently used educational approach to the more interactive level. We mainly describe an algorithm to calculate position angles from raw sensor data which is used within Attitude Heading and Reference Systems and we propose a new arrangement of the AHRS unit which uses self-calibrating magnetometer and the Pressure Reference System for pitch and roll angles measurements to remove influence of accelerations generated during the flight.
Sponsorship	Aerosp. Electron. Syst. Soc.
File Size	1090162
File Format	PDF
ISBN	9781467316996
ISSN	21557195
e-ISBN	9781467317009
DOI	10.1109/DASC.2012.6382274
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kalman filters Airplanes Sensor systems Covariance matrix Magnetic sensors Position measurement
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Aerospace Engineering

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