P2.08 - Advanced inertial position tracking of sensor particles in fluid flows of large industrial containers

Event
13. Dresdner Sensor-Symposium 2017
2017-12-04 - 2017-12-06
Hotel Elbflorenz, Dresden
Chapter
P2. Prozessmesstechnik
Author(s)
S. Arefin, S. Reinecke - Helmholtz-Zentrum Dresden-Rossendorf e.V., Dresden/D, U. Hampel - Helmholtz-Zentrum Dresden-Rossendorf e.V., Dresden + AREVA Endowed Chair of Imaging Techniques in Energy and Process Engineering, Technische Universität Dresden/D
Pages
213 - 218
DOI
10.5162/13dss2017/P2.08
ISBN
978-3-9816876-5-1
Price
free

Abstract

In this paper, a concept for inertial position tracking of flow following sensor particles based on data fusion of inertial sensors is presented. The employed data fusion technique is quaternion based and uses an extended Kalman filter algorithm. A generalized sensor system kinematics has been developed to test the filter algorithm where three data conditions have been considered. Eventually, first simulation results are compared which shows the performance of the filter regarding sensor drift and noise are being discussed.

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