Proceedings of the 2nd International Conference on Railway and Transportation 2023 (ICORT 2023)

Accuration of Measurement Snake Motion Based on Kalman Filter Sensor Fusion

Authors
Fathurozi Winjaya1, *, Dara Aulia Feryando1, Nur Annisa Azizah1
1Politeknik Perkeretaapian Indonesia Madiun, Madiun, Indonesia
*Corresponding author. Email: fathurrozi@ppi.ac.id
Corresponding Author
Fathurozi Winjaya
Available Online 20 February 2024.
DOI
10.2991/978-94-6463-384-9_26How to use a DOI?
Keywords
Snake motion; Accelerometer; Gyroscope; Sensor fusion; Kalman Filter
Abstract

Snake motion is a movement on a pair of rail wheels that does not go straight forward but shifts to the left or right. Snake movement can cause deformation on the rail and weariness on the wheel. The snake motion can be measured using sensors that have a high sensitivity but are at risk for noise in the data readings. The control system will not be able to perform at its best when the volume measurements are counted as input data from the measurement. From the application of the filter algorithm to the combination of the sensor accelerometer and gyroscope obtained results, noise measurement can be minimised and data reading more stable. The result of noise reduction depends on the value of the process variance; if the process variant value is close to 0, then the filtering result carried out by the filter valve is more smooth. The filter column with the 0.025 process variant produces an average error value of 3.9% on the x axis, 3.1% on the y axis, and 5.7% on the z axis. With the highest error on the measurement at the 30° parameter with the measuring difference of 1.27° at the x-axis, the 60° parameters with the measured gap of 1.34° in the y-axis, and the -90° parametrics with a measuring gap of 2.99° on the Z-axial.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Conference on Railway and Transportation 2023 (ICORT 2023)
Series
Advances in Engineering Research
Publication Date
20 February 2024
ISBN
10.2991/978-94-6463-384-9_26
ISSN
2352-5401
DOI
10.2991/978-94-6463-384-9_26How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Fathurozi Winjaya
AU  - Dara Aulia Feryando
AU  - Nur Annisa Azizah
PY  - 2024
DA  - 2024/02/20
TI  - Accuration of Measurement Snake Motion Based on Kalman Filter Sensor Fusion
BT  - Proceedings of the 2nd International Conference on Railway and Transportation 2023 (ICORT 2023)
PB  - Atlantis Press
SP  - 300
EP  - 312
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-384-9_26
DO  - 10.2991/978-94-6463-384-9_26
ID  - Winjaya2024
ER  -