Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Changfa, Tu, Xiaowei, Chen, Qi, Yang, Qinghua, Fang, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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
_version_ 1784838308895916032
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
work_keys_str_mv AT wangchangfa movablesurfacerotationanglemeasurementsystemusingimu
AT tuxiaowei movablesurfacerotationanglemeasurementsystemusingimu
AT chenqi movablesurfacerotationanglemeasurementsystemusingimu
AT yangqinghua movablesurfacerotationanglemeasurementsystemusingimu
AT fangtao movablesurfacerotationanglemeasurementsystemusingimu