Online Calibration of RIMU Based on Multistage EKF
Redundant inertial measurement units (RIMUs) are more reliable than normal inertial measurement units (IMUs), but they are suffering from the calibration of nonorthogonal gyroscopes and accelerometers. In this article, aiming at the problem of relying on the orthogonal axis IMU information and error...
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| Veröffentlicht in: | IEEE sensors journal 2023-07, Vol.23 (14), p.15741-15752 |
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| creator | Tong, Zhang Tianjun, Zhang Renyi, Hu Jiaqi, Li |
| description | Redundant inertial measurement units (RIMUs) are more reliable than normal inertial measurement units (IMUs), but they are suffering from the calibration of nonorthogonal gyroscopes and accelerometers. In this article, aiming at the problem of relying on the orthogonal axis IMU information and error term coupling in the online calibration of RIMUs, a method based on the multistage extended Kalman filter (EKF) algorism is proposed. In this method, the calibration model of the inertial system is established, which does not depend on the orthogonality with the inclined axis inertial system; meanwhile, the attitude, velocity, and position information is taken as the measurement, and a filtering model is established based on the EKF method. Based on this model, the observability of the calibration method is proved, and the window and threshold for secondary filtering are set to reduce the coupling effect of scale factor error and installation error. The digital simulation indicates that the proposed method can provide high-precision online calibration results for the inclined axis scale factor error and installation error of RIMUs, and the calibration error is below 10%. |
| doi_str_mv | 10.1109/JSEN.2023.3277615 |
| format | Article |
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In this article, aiming at the problem of relying on the orthogonal axis IMU information and error term coupling in the online calibration of RIMUs, a method based on the multistage extended Kalman filter (EKF) algorism is proposed. In this method, the calibration model of the inertial system is established, which does not depend on the orthogonality with the inclined axis inertial system; meanwhile, the attitude, velocity, and position information is taken as the measurement, and a filtering model is established based on the EKF method. Based on this model, the observability of the calibration method is proved, and the window and threshold for secondary filtering are set to reduce the coupling effect of scale factor error and installation error. The digital simulation indicates that the proposed method can provide high-precision online calibration results for the inclined axis scale factor error and installation error of RIMUs, and the calibration error is below 10%.</description><identifier>ISSN: 1530-437X</identifier><identifier>EISSN: 1558-1748</identifier><identifier>DOI: 10.1109/JSEN.2023.3277615</identifier><language>eng</language><publisher>New York: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</publisher><subject>Accelerometers ; Calibration ; Coupling ; Digital simulation ; Errors ; Extended Kalman filter ; Inertial platforms ; Orthogonality ; Position measurement</subject><ispartof>IEEE sensors journal, 2023-07, Vol.23 (14), p.15741-15752</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c273t-f68009360424219a2f0c3427315c3ed9e660994e78e2f99c96899e4b1b9216bb3</citedby><cites>FETCH-LOGICAL-c273t-f68009360424219a2f0c3427315c3ed9e660994e78e2f99c96899e4b1b9216bb3</cites><orcidid>0000-0003-0842-7490</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Tong, Zhang</creatorcontrib><creatorcontrib>Tianjun, Zhang</creatorcontrib><creatorcontrib>Renyi, Hu</creatorcontrib><creatorcontrib>Jiaqi, Li</creatorcontrib><title>Online Calibration of RIMU Based on Multistage EKF</title><title>IEEE sensors journal</title><description>Redundant inertial measurement units (RIMUs) are more reliable than normal inertial measurement units (IMUs), but they are suffering from the calibration of nonorthogonal gyroscopes and accelerometers. In this article, aiming at the problem of relying on the orthogonal axis IMU information and error term coupling in the online calibration of RIMUs, a method based on the multistage extended Kalman filter (EKF) algorism is proposed. In this method, the calibration model of the inertial system is established, which does not depend on the orthogonality with the inclined axis inertial system; meanwhile, the attitude, velocity, and position information is taken as the measurement, and a filtering model is established based on the EKF method. Based on this model, the observability of the calibration method is proved, and the window and threshold for secondary filtering are set to reduce the coupling effect of scale factor error and installation error. The digital simulation indicates that the proposed method can provide high-precision online calibration results for the inclined axis scale factor error and installation error of RIMUs, and the calibration error is below 10%.</description><subject>Accelerometers</subject><subject>Calibration</subject><subject>Coupling</subject><subject>Digital simulation</subject><subject>Errors</subject><subject>Extended Kalman filter</subject><subject>Inertial platforms</subject><subject>Orthogonality</subject><subject>Position measurement</subject><issn>1530-437X</issn><issn>1558-1748</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNotkMFOwzAMhiMEEmPwANwqce6I4zSJjzBtMNiYBEziFqVdijqVdiTdgben1Xb6rd-fbOlj7Bb4BIDT_cvH7G0iuMAJCq0VZGdsBFlmUtDSnA8z8lSi_rpkVzHuOAfSmR4xsW7qqvHJ1NVVHlxXtU3Slsn7YrVJHl3026QvVoe6q2Lnvn0ye51fs4vS1dHfnHLMNvPZ5_Q5Xa6fFtOHZVoIjV1aKsM5oeJSSAHkRMkLlP0KsgL9lrxSnEh6bbwoiQpShsjLHHISoPIcx-zueHcf2t-Dj53dtYfQ9C-tMKgBDRD2FBypIrQxBl_afah-XPizwO2gxg5q7KDGntTgP-m6UyY</recordid><startdate>20230715</startdate><enddate>20230715</enddate><creator>Tong, Zhang</creator><creator>Tianjun, Zhang</creator><creator>Renyi, Hu</creator><creator>Jiaqi, Li</creator><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0003-0842-7490</orcidid></search><sort><creationdate>20230715</creationdate><title>Online Calibration of RIMU Based on Multistage EKF</title><author>Tong, Zhang ; Tianjun, Zhang ; Renyi, Hu ; Jiaqi, Li</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c273t-f68009360424219a2f0c3427315c3ed9e660994e78e2f99c96899e4b1b9216bb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Accelerometers</topic><topic>Calibration</topic><topic>Coupling</topic><topic>Digital simulation</topic><topic>Errors</topic><topic>Extended Kalman filter</topic><topic>Inertial platforms</topic><topic>Orthogonality</topic><topic>Position measurement</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tong, Zhang</creatorcontrib><creatorcontrib>Tianjun, Zhang</creatorcontrib><creatorcontrib>Renyi, Hu</creatorcontrib><creatorcontrib>Jiaqi, Li</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE sensors journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tong, Zhang</au><au>Tianjun, Zhang</au><au>Renyi, Hu</au><au>Jiaqi, Li</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Online Calibration of RIMU Based on Multistage EKF</atitle><jtitle>IEEE sensors journal</jtitle><date>2023-07-15</date><risdate>2023</risdate><volume>23</volume><issue>14</issue><spage>15741</spage><epage>15752</epage><pages>15741-15752</pages><issn>1530-437X</issn><eissn>1558-1748</eissn><abstract>Redundant inertial measurement units (RIMUs) are more reliable than normal inertial measurement units (IMUs), but they are suffering from the calibration of nonorthogonal gyroscopes and accelerometers. In this article, aiming at the problem of relying on the orthogonal axis IMU information and error term coupling in the online calibration of RIMUs, a method based on the multistage extended Kalman filter (EKF) algorism is proposed. In this method, the calibration model of the inertial system is established, which does not depend on the orthogonality with the inclined axis inertial system; meanwhile, the attitude, velocity, and position information is taken as the measurement, and a filtering model is established based on the EKF method. Based on this model, the observability of the calibration method is proved, and the window and threshold for secondary filtering are set to reduce the coupling effect of scale factor error and installation error. The digital simulation indicates that the proposed method can provide high-precision online calibration results for the inclined axis scale factor error and installation error of RIMUs, and the calibration error is below 10%.</abstract><cop>New York</cop><pub>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</pub><doi>10.1109/JSEN.2023.3277615</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-0842-7490</orcidid></addata></record> |
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| subjects | Accelerometers Calibration Coupling Digital simulation Errors Extended Kalman filter Inertial platforms Orthogonality Position measurement |
| title | Online Calibration of RIMU Based on Multistage EKF |
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