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Movable Surface Rotation Angle Measurement System Using IMU
In this paper, we describe a rotation angle measurement system (RAMS) based on an inertial measurement unit (IMU) developed to measure the rotation angle of a movable surface. The existing IMU-based attitude (tilt) sensor can only accurately measure the rotation angle when the rotation axis of the m...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9696403/ https://www.ncbi.nlm.nih.gov/pubmed/36433594 http://dx.doi.org/10.3390/s22228996 |
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author | Wang, Changfa Tu, Xiaowei Chen, Qi Yang, Qinghua Fang, Tao |
author_facet | Wang, Changfa Tu, Xiaowei Chen, Qi Yang, Qinghua Fang, Tao |
author_sort | Wang, Changfa |
collection | PubMed |
description | In this paper, we describe a rotation angle measurement system (RAMS) based on an inertial measurement unit (IMU) developed to measure the rotation angle of a movable surface. The existing IMU-based attitude (tilt) sensor can only accurately measure the rotation angle when the rotation axis of the movable surface is perfectly aligned with the X axis or Y axis of the sensor, which is always not possible in real-world engineering. To overcome the difficulty of sensor installation and ensure measurement accuracy, first, we build a model to describe the relationship between the rotation axis and the IMU. Then, based on the built model, we propose a simple online method to estimate the direction of the rotation axis without using a complicated apparatus and a method to estimate the rotation angle using the known rotation axis based on the extended Kalman filter (EKF). Using the estimated rotation axis direction, we can effectively eliminate the influence of the mounting position on the measurement results. In addition, the zero-velocity detection (ZVD) technique is used to ensure the reliability of the rotation axis direction estimation and is used in combination with the EKF as the switching signal to adaptively adjust the noise covariance matrix. Finally, the experimental results show that the developed RAMS has a static measurement error of less than 0.05° and a dynamic measurement error of less than 1° in the range of ±180°. |
format | Online Article Text |
id | pubmed-9696403 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96964032022-11-26 Movable Surface Rotation Angle Measurement System Using IMU Wang, Changfa Tu, Xiaowei Chen, Qi Yang, Qinghua Fang, Tao Sensors (Basel) Article In this paper, we describe a rotation angle measurement system (RAMS) based on an inertial measurement unit (IMU) developed to measure the rotation angle of a movable surface. The existing IMU-based attitude (tilt) sensor can only accurately measure the rotation angle when the rotation axis of the movable surface is perfectly aligned with the X axis or Y axis of the sensor, which is always not possible in real-world engineering. To overcome the difficulty of sensor installation and ensure measurement accuracy, first, we build a model to describe the relationship between the rotation axis and the IMU. Then, based on the built model, we propose a simple online method to estimate the direction of the rotation axis without using a complicated apparatus and a method to estimate the rotation angle using the known rotation axis based on the extended Kalman filter (EKF). Using the estimated rotation axis direction, we can effectively eliminate the influence of the mounting position on the measurement results. In addition, the zero-velocity detection (ZVD) technique is used to ensure the reliability of the rotation axis direction estimation and is used in combination with the EKF as the switching signal to adaptively adjust the noise covariance matrix. Finally, the experimental results show that the developed RAMS has a static measurement error of less than 0.05° and a dynamic measurement error of less than 1° in the range of ±180°. MDPI 2022-11-21 /pmc/articles/PMC9696403/ /pubmed/36433594 http://dx.doi.org/10.3390/s22228996 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Changfa Tu, Xiaowei Chen, Qi Yang, Qinghua Fang, Tao Movable Surface Rotation Angle Measurement System Using IMU |
title | Movable Surface Rotation Angle Measurement System Using IMU |
title_full | Movable Surface Rotation Angle Measurement System Using IMU |
title_fullStr | Movable Surface Rotation Angle Measurement System Using IMU |
title_full_unstemmed | Movable Surface Rotation Angle Measurement System Using IMU |
title_short | Movable Surface Rotation Angle Measurement System Using IMU |
title_sort | movable surface rotation angle measurement system using imu |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9696403/ https://www.ncbi.nlm.nih.gov/pubmed/36433594 http://dx.doi.org/10.3390/s22228996 |
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