Research on a Distributed Calibration Method Based on Specific Force Measurement
Micro-electro-mechanical system (MEMS) inertial devices are small volume, lightweight, low cost, and have mass-production characteristics. The development trend of inertial modules is to reduce cost and improve accuracy, and batch calibration of MEMS devices is one of the most feasible solutions to...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/11/22/3752 |
| _version_ | 1797465498438336512 |
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| author | Peng Zhang Yuanting Xue Peng Liu Mengwei Li |
| author_facet | Peng Zhang Yuanting Xue Peng Liu Mengwei Li |
| author_sort | Peng Zhang |
| collection | DOAJ |
| description | Micro-electro-mechanical system (MEMS) inertial devices are small volume, lightweight, low cost, and have mass-production characteristics. The development trend of inertial modules is to reduce cost and improve accuracy, and batch calibration of MEMS devices is one of the most feasible solutions to reduce cost. In this paper, we propose a distributed calibration method based on system-level, discrete calibration. The distributed calibration method requires only one or a few rotations of the combined and arranged devices to excite the individual error parameters of the inertial instruments. In this study, the relationship between the error parameters and the navigation error was rewritten using equivalence transformation, and the 24 error parameters of the device were identified by the distributed least-squares estimation using the velocity error as the observed quantity. In simulation experiments, this method could calibrate more MEMS devices simultaneously than the traditional calibration method with the exact accuracy requirement. |
| first_indexed | 2024-03-09T18:22:21Z |
| format | Article |
| id | doaj.art-4b9b6fb4ed8b4b92bfd65a495c7d07bb |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T18:22:21Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-4b9b6fb4ed8b4b92bfd65a495c7d07bb2023-11-24T08:09:58ZengMDPI AGElectronics2079-92922022-11-011122375210.3390/electronics11223752Research on a Distributed Calibration Method Based on Specific Force MeasurementPeng Zhang0Yuanting Xue1Peng Liu2Mengwei Li3School of Instrumentation and Electronic, North University of China, Taiyuan 030051, ChinaAcademy for Advanced Interdisciplinary Research, North University of China, Taiyuan 030051, ChinaAcademy for Advanced Interdisciplinary Research, North University of China, Taiyuan 030051, ChinaSchool of Instrumentation and Electronic, North University of China, Taiyuan 030051, ChinaMicro-electro-mechanical system (MEMS) inertial devices are small volume, lightweight, low cost, and have mass-production characteristics. The development trend of inertial modules is to reduce cost and improve accuracy, and batch calibration of MEMS devices is one of the most feasible solutions to reduce cost. In this paper, we propose a distributed calibration method based on system-level, discrete calibration. The distributed calibration method requires only one or a few rotations of the combined and arranged devices to excite the individual error parameters of the inertial instruments. In this study, the relationship between the error parameters and the navigation error was rewritten using equivalence transformation, and the 24 error parameters of the device were identified by the distributed least-squares estimation using the velocity error as the observed quantity. In simulation experiments, this method could calibrate more MEMS devices simultaneously than the traditional calibration method with the exact accuracy requirement.https://www.mdpi.com/2079-9292/11/22/3752batch calibrationdistributedleast-squares estimationerror parameter |
| spellingShingle | Peng Zhang Yuanting Xue Peng Liu Mengwei Li Research on a Distributed Calibration Method Based on Specific Force Measurement Electronics batch calibration distributed least-squares estimation error parameter |
| title | Research on a Distributed Calibration Method Based on Specific Force Measurement |
| title_full | Research on a Distributed Calibration Method Based on Specific Force Measurement |
| title_fullStr | Research on a Distributed Calibration Method Based on Specific Force Measurement |
| title_full_unstemmed | Research on a Distributed Calibration Method Based on Specific Force Measurement |
| title_short | Research on a Distributed Calibration Method Based on Specific Force Measurement |
| title_sort | research on a distributed calibration method based on specific force measurement |
| topic | batch calibration distributed least-squares estimation error parameter |
| url | https://www.mdpi.com/2079-9292/11/22/3752 |
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