The system of acquisition and archiving of motion parameters of mobile systems - mathematical methods, digital filters

Authors

  • Jakub Grabiński Poznan University of Technology
  • Konrad Waluś Poznan University of Technology

DOI:

https://doi.org/10.24136/atest.2019.041

Keywords:

Euler's angles, quartered, Kalman filter, Madgwick filter, complementary filter

Abstract

The work presents numerical methods and digital filters that enable correction of the measurement signal obtained during experimental tests of vehicle motion parameters. The inertial navigation measuring module used consists of three-axis accelerometers, gyroscopes made in MEMS technology and a magnetometer. The collected measurement data made it possible to refer them to a point in three-dimensional space in order to determine the trajectory of vehicle movement. The article presents numerical methods of rotation of the local coordinate system to the global system and selected digital filters enabling smoothening the measurement signal in real time.

Downloads

Download data is not yet available.

References

Bieda R., Grygiel R., Wyznaczanie orientacji obiektu w przestrzeni z wykorzystaniem naiwnego filtru Kalmana, Przegląd Elektrotechniczny, R.90 Nr 1/2014, str. 34-41

Czyżewski T., Quaternions – Alternative For Euler Angles in Kinematic Analysis of Machine Mechanisms, Technical Trans-actions, 2-M/2015

Du J., Gerdtman C., Linden M., Signal Processing Algorithms for Position Measurement with MEMS-Based Accelerometer, 16th Nordic Baltic Conference on Biomedical Engineering, Gothenburg, 2014

Euston M., Coote P., Mahony R., Jonghyuk K., Hamel T., A Complementary Filter for Attitude Estimation of a Fixed-Wing UAV, ICoIRaS, Nicea, 2008, str. 340-345

Grygiel R., Bieda R., Wojciechowski K., Metody wyznaczania kątów z żyroskopów dla filtru komplementarnego na potrzeby określania orientacji IMU, Przegląd Elektrotechniczny, R.90 Nr 9/2014, str. 217-224

Gucma M. Podstawy Morskiej Nawigacji Inercyjnej, Wyd. AM, Szczecin, 2006

Higgins T. W., A Comparison of Complementary and Kalman Filtering, IEEE Transactions on Aerospace and Electronic Sys-tems Vol. AES-11 NO.3, 1975

Horn K. P., Some Notes on Unit Quaternions and Rotation, 2011

Janota A., Šimák V., Improving the Precision and Speed of Euler Angles Computation from Low-Cost Rotation Sensor Data, Sensors, 2015, 15, 7016-7039

Kędziora K., Krzemień P., Wach W., Application of Accelerometer Sensors for the Measurements of Curvilinear Motion of Vehicle a Comparison of the Results of Simulation and Experiment, Machine Dynamics Research Vol. 36 No.3, 2012, s. 45-52

Łuczak S., Pomiary odchylenia od pionu z użyciem akcelerometrów MEMS, Pomiary Automatyka Robotyka, 7-8/2008 str. 14-16

Madgwick S., An Efficient Orientation Filter for Inertial and Inertial/Magnetic sensor arrays, University of Bristol, 2010

Manuel O. S., IMU-based Trajectory Generation and Modeling of 6-DOFRobot Manipulators, ICoM EaAE, 2015, str. 181 - 186

Matzner F., Tracking of 3D Movement, praca magisterska, Uniwersytet Praski, Praga, 2014

Nota aplikacyjna, Using LSM303DLH for a tilt compensated electronic compass, AN3192

Roetenberg D., Inertial and Magnetic Sensing of Human Motion, Rozprawa Doktorska, Uniwersytet Twente, 2006

Roetenberg D., Luinge H., Baten M., Veltink P., Compensation of Magnetic Disturbances Improves Inertial and Magnetic Sensing of Human Body Segment Orientation, Transaction on Neural Systems and Rehabilitation Engineering, Vol. 13/3, VIII 2005, str. 395 – 405

Spong M., Hutchinson S., Vidyasagar M., Robot Dynamics and Control, 2004

Tseng S., Li W., Sheng C., Hsu J., Chen C., Motion and Attitude Estimation Using Inertial Measurements with Complementary Filter, ASCC, Kaohsiung, 2011, str. 863-868

Wagli A., Skaloud J., Turning Point. Trajectory Analysis for Skiers, InsideGNSS, Spring 2007, str. 24-34

Wnuk M., Filtracja Komplementarna w inercyjnych czujnikach orientacji, Politechnika Wrocławska, Wrocław, 2014

Zakrzewski J., Kampik, M. Sensory i Przetworniki Pomiarowe, Wydawnictwo Politechniki Śląskiej, Gliwice, 2013

Zhi R., A Drift Eliminated Attitude & Position Estimation Algorithm In 3D, Graduate College Dissertations and Thesis, 2016

https://forbot.pl/blog/filtr-kalmana-teorii-praktyki-1-id2855

https://forbot.pl/blog/filtr-kalmana-w-praktyce-3-przyklady-z-kodami-id7342

http://blog.tkjelectronics.dk/2012/09/a-practical-approach-to-kalman-filter-and-how-to-implement-it/

Downloads

Published

2019-02-28

How to Cite

Grabiński, J., & Waluś, K. (2019). The system of acquisition and archiving of motion parameters of mobile systems - mathematical methods, digital filters. AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe, 20(1-2), 228–233. https://doi.org/10.24136/atest.2019.041

Issue

Section

Articles