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Determinig of an object orientation in 3D space using direction cosine matrix and non-stationary Kalman filter

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

This paper describes a method which determines the parameters of an object orientation in 3D space. The rotation angles calculation bases on the signals fusion obtained from the inertial measurement unit (IMU). The IMU measuring system provides information from a linear acceleration sensors (accelerometers), the Earth's magnetic field sensors (magnetometers) and the angular velocity sensors (gyroscopes). Information about the object orientation is presented in the form of direction cosine matrix whose elements are observed in the state vector of the non-stationary Kalman filter. The vector components allow to determine the rotation angles (roll, pitch and yaw) associated with the object. The resulting waveforms, for different rotation angles, have no negative attributes associated with the construction and operation of the IMU measuring system. The described solution enables simple, fast and effective implementation of the proposed method in the IMU measuring systems.

Original languageEnglish
Pages (from-to)223-244
Number of pages22
JournalArchives of Control Sciences
Volume26
Issue number2
DOIs
Publication statusPublished - 1 Jun 2016

Keywords

  • IMU signals fusion
  • direction cosine matrix
  • object orientation
  • strapdown integration

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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