A multi-position self-calibration method for dual-axis rotational inertial navigation system

•A simplified installation error model of accelerometers is utilized in the self-calibration.•We represent the unknown initial misalignment by the inertial measurement unit errors based on their relationship.•We add a second order damper to the vertical velocity channel to suppress its divergence.•A...

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Bibliographic Details
Published in:Sensors and actuators. A. Physical. 2014-11, Vol.219, p.24-31
Main Authors: Ren, Qian, Wang, Bo, Deng, Zhihong, Fu, Mengyin
Format: Article
Language:English
Subjects:
Accuracy
Damper
Error analysis
Errors
Inertial
Inertial navigation
Least squares method
Mathematical models
Multi-position
Navigation
Rotational inertial navigation system
Self-calibration
Total least square
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Summary:•A simplified installation error model of accelerometers is utilized in the self-calibration.•We represent the unknown initial misalignment by the inertial measurement unit errors based on their relationship.•We add a second order damper to the vertical velocity channel to suppress its divergence.•A ten-position rotation scheme which can make all of the twenty-one error parameters observable is proposed.•Total least squares method is utilized in identification of the error parameters to reduce the influence of gimbals positioning error. In order to compensate errors of inertial measurement unit which is the core of rotational inertial navigation system, self-calibration is utilized as an effective way to reduce navigation error. Error model of navigation solution and initial alignment is used to establish the relationship between navigation errors and inertial measurement unit (IMU) errors. A second order damper is added to the vertical velocity channel to suppress the divergence and then the vertical velocity error can be regarded as an effective observation to estimate the error parameters. Since the accuracy of the self-calibration method is susceptible to the positioning error of gimbals, total least squares (TLS) method is utilized in identification of the error parameters. Experimental results show that all of the twenty-one error parameters can be estimated with the proposed rotation scheme. Compared to least squares (LS) method, TLS method can improve the position accuracy of 8h by 46.2%.
ISSN:0924-4247
1873-3069
DOI:10.1016/j.sna.2014.08.011