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Fast Thermal Calibration of Low-Grade Inertial Sensors and Inertial Measurement Units
The errors of low-cost inertial sensors, especially Micro-Electro Mechanical Systems (MEMS) ones, are highly dependent on environmental conditions such as the temperature. Thus, there is a need for the development of accurate and reliable thermal compensation models to reduce the impact of such ther...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3821333/ https://www.ncbi.nlm.nih.gov/pubmed/24036581 http://dx.doi.org/10.3390/s130912192 |
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author | Niu, Xiaoji Li, You Zhang, Hongping Wang, Qingjiang Ban, Yalong |
author_facet | Niu, Xiaoji Li, You Zhang, Hongping Wang, Qingjiang Ban, Yalong |
author_sort | Niu, Xiaoji |
collection | PubMed |
description | The errors of low-cost inertial sensors, especially Micro-Electro Mechanical Systems (MEMS) ones, are highly dependent on environmental conditions such as the temperature. Thus, there is a need for the development of accurate and reliable thermal compensation models to reduce the impact of such thermal drift of the sensors. Since the conventional thermal calibration methods are typically time-consuming and costly, an efficient thermal calibration method to investigate the thermal drift of a full set of gyroscope and accelerometer errors (i.e., biases, scale factor errors and non-orthogonalities) over the entire temperature range in a few hours is proposed. The proposed method uses the idea of the Ramp method, which removes the time-consuming process of stabilizing the sensor temperature, and addresses its inherent problems with several improvements. We change the temperature linearly for a complete cycle and take a balanced strategy by making comprehensive use of the sensor measurements during both heating and cooling processes. Besides, an efficient 8-step rotate-and-static scheme is designed to further improve the calibration accuracy and efficiency. Real calibration tests showed that the proposed method is suitable for low-grade IMUs and for both lab and factory calibration due to its efficiency and sufficient accuracy. |
format | Online Article Text |
id | pubmed-3821333 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-38213332013-11-09 Fast Thermal Calibration of Low-Grade Inertial Sensors and Inertial Measurement Units Niu, Xiaoji Li, You Zhang, Hongping Wang, Qingjiang Ban, Yalong Sensors (Basel) Article The errors of low-cost inertial sensors, especially Micro-Electro Mechanical Systems (MEMS) ones, are highly dependent on environmental conditions such as the temperature. Thus, there is a need for the development of accurate and reliable thermal compensation models to reduce the impact of such thermal drift of the sensors. Since the conventional thermal calibration methods are typically time-consuming and costly, an efficient thermal calibration method to investigate the thermal drift of a full set of gyroscope and accelerometer errors (i.e., biases, scale factor errors and non-orthogonalities) over the entire temperature range in a few hours is proposed. The proposed method uses the idea of the Ramp method, which removes the time-consuming process of stabilizing the sensor temperature, and addresses its inherent problems with several improvements. We change the temperature linearly for a complete cycle and take a balanced strategy by making comprehensive use of the sensor measurements during both heating and cooling processes. Besides, an efficient 8-step rotate-and-static scheme is designed to further improve the calibration accuracy and efficiency. Real calibration tests showed that the proposed method is suitable for low-grade IMUs and for both lab and factory calibration due to its efficiency and sufficient accuracy. MDPI 2013-09-12 /pmc/articles/PMC3821333/ /pubmed/24036581 http://dx.doi.org/10.3390/s130912192 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Niu, Xiaoji Li, You Zhang, Hongping Wang, Qingjiang Ban, Yalong Fast Thermal Calibration of Low-Grade Inertial Sensors and Inertial Measurement Units |
title | Fast Thermal Calibration of Low-Grade Inertial Sensors and Inertial Measurement Units |
title_full | Fast Thermal Calibration of Low-Grade Inertial Sensors and Inertial Measurement Units |
title_fullStr | Fast Thermal Calibration of Low-Grade Inertial Sensors and Inertial Measurement Units |
title_full_unstemmed | Fast Thermal Calibration of Low-Grade Inertial Sensors and Inertial Measurement Units |
title_short | Fast Thermal Calibration of Low-Grade Inertial Sensors and Inertial Measurement Units |
title_sort | fast thermal calibration of low-grade inertial sensors and inertial measurement units |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3821333/ https://www.ncbi.nlm.nih.gov/pubmed/24036581 http://dx.doi.org/10.3390/s130912192 |
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