Multi-geomagnetic-component assisted localization algorithm for hypersonic vehicles

Chen, Kai; Liang, Wen-chao; Zeng, Cheng-zhi; Guan, Rui

doi:10.1631/jzus.a2000524

Cited by 5 publications

(1 citation statement)

References 30 publications

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“…According to the Euler angle method, the orientation of the carrier coordinate system relative to the navigation coordinate system, that is, the geomagnetic coordinate system, can be determined by the three angles of rotation of the carrier coordinate system around three non-coaxial axes. The three attitude angles are inclination angle θ, tool face angle γ, and azimuth angle φ [15,16].…”

Section: Principle Of Geomagnetic/inertial Navigation Integrated Posi...mentioning

confidence: 99%

A drilling combination positioning method based on geomagnetic/inertial navigation combined with PSD improved unscented Kalman filtering algorithm*

Yang,

Qin,

Wei

et al. 2023

Meas. Sci. Technol.

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During the drilling process, the accuracy of measuring drilling tool attitude is severely affected by measurement drift errors in the inertial device itself and the significant interference noise generated by the impact vibration of the drill bit. To address these issues and achieve precise measurement of drilling trajectory, this paper proposes a combined positioning method based on geomagnetism/inertial navigation combined with PSD improved unscented Kalman filtering. An experimental platform was constructed, and a sensor system was installed in the vicinity of the drill bit for short section measurements. Experimental verification was conducted using actual drilling data. The results demonstrate that, compared to general unscented Kalman filtering, the average position error using PSD improved unscented Kalman filtering was reduced from 0.122 m to 0.088 m, and the average velocity error was reduced from 0.019 m s−1 to 0.005 m s−1. By comparing and matching with the drilling trajectory drawn in the logging process, the overall positioning accuracy of the combined positioning method is as high as 90.8%, yielding positioning results that are highly authentic and effective, thereby meeting the on-site usage requirements.

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Section: Principle Of Geomagnetic/inertial Navigation Integrated Posi...mentioning

confidence: 99%

A drilling combination positioning method based on geomagnetic/inertial navigation combined with PSD improved unscented Kalman filtering algorithm*

Yang,

Qin,

Wei

et al. 2023

Meas. Sci. Technol.

View full text Add to dashboard Cite

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An Improved Geomagnetic Navigation Method Based on Two-Component Gradient Weighting

Chen

Liu

Zhang

et al. 2022

IEEE Geosci. Remote Sensing Lett.

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Leap trajectory tracking control based on sliding mode theory for hypersonic gliding vehicle

Guo

Huang

et al. 2022

J. Zhejiang Univ. Sci. A

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Multi-geomagnetic-component assisted localization algorithm for hypersonic vehicles

Cited by 5 publications

References 30 publications

A drilling combination positioning method based on geomagnetic/inertial navigation combined with PSD improved unscented Kalman filtering algorithm*

A drilling combination positioning method based on geomagnetic/inertial navigation combined with PSD improved unscented Kalman filtering algorithm*

An Improved Geomagnetic Navigation Method Based on Two-Component Gradient Weighting

Leap trajectory tracking control based on sliding mode theory for hypersonic gliding vehicle

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