Tan, Caiming and Zhu, Xinhua and Su, Yan and Wang, Yu and Wu, Zhiqiang and Gu, Dongbing (2015) A New Analytic Alignment Method for a SINS. Sensors, 15 (11). pp. 27930-27953. DOI https://doi.org/10.3390/s151127930
Tan, Caiming and Zhu, Xinhua and Su, Yan and Wang, Yu and Wu, Zhiqiang and Gu, Dongbing (2015) A New Analytic Alignment Method for a SINS. Sensors, 15 (11). pp. 27930-27953. DOI https://doi.org/10.3390/s151127930
Tan, Caiming and Zhu, Xinhua and Su, Yan and Wang, Yu and Wu, Zhiqiang and Gu, Dongbing (2015) A New Analytic Alignment Method for a SINS. Sensors, 15 (11). pp. 27930-27953. DOI https://doi.org/10.3390/s151127930
Abstract
<jats:p>Analytic alignment is a type of self-alignment for a Strapdown inertial navigation system (SINS) that is based solely on two non-collinear vectors, which are the gravity and rotational velocity vectors of the Earth at a stationary base on the ground. The attitude of the SINS with respect to the Earth can be obtained directly using the TRIAD algorithm given two vector measurements. For a traditional analytic coarse alignment, all six outputs from the inertial measurement unit (IMU) are used to compute the attitude. In this study, a novel analytic alignment method called selective alignment is presented. This method uses only three outputs of the IMU and a few properties from the remaining outputs such as the sign and the approximate value to calculate the attitude. Simulations and experimental results demonstrate the validity of this method, and the precision of yaw is improved using the selective alignment method compared to the traditional analytic coarse alignment method in the vehicle experiment. The selective alignment principle provides an accurate relationship between the outputs and the attitude of the SINS relative to the Earth for a stationary base, and it is an extension of the TRIAD algorithm. The selective alignment approach has potential uses in applications such as self-alignment, fault detection, and self-calibration.</jats:p>
Item Type: | Article |
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Uncontrolled Keywords: | SINS; self-alignment; initial alignment; analytic alignment; TRIAD |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 05 Jan 2016 14:44 |
Last Modified: | 04 Dec 2024 06:15 |
URI: | http://repository.essex.ac.uk/id/eprint/15746 |
Available files
Filename: sensors-15-27930.pdf
Licence: Creative Commons: Attribution 3.0