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Inertial position tracking of flow following sensor particles

Reinecke, S. F.; Hampel, U.

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 algo-rithm. A generalized sensor system kinematics has been developed to test the filter algorithm where two data conditions have been considered. Eventually, first simulation results are compared which shows the performance of the filter re-garding sensor drift and noise.

Involved research facilities

  • TOPFLOW Facility
  • Contribution to proceedings
    Sensoren und Messsysteme 2018 ∙ 26. – 27.06.2018 in Nürnberg, 26.-27.06.2018, Nürnberg, Deutschland
    Beiträge der 19. ITG/GMA-Fachtagung 26. – 27. Juni 2018 in Nürnberg, 978-3-8007-4683-5
  • Lecture (Conference)
    Sensoren und Messsysteme 19. ITG/GMA-Fachtagung 26. – 27. Juni 2018 in Nürnberg, 26.-27.06.2018, Nürnberg, Deutschland

Permalink: https://www.hzdr.de/publications/Publ-28055

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