Self-calibration and compensation of residual gyro drifts for rotation inertial navigation system with fibre optic gyro

Sui, Jie; Wang, Lei; Wang, Wei; Song, Tianxiao

doi:10.1080/09500340.2018.1514472

Cited by 8 publications

(3 citation statements)

References 17 publications

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“…where, in Eq. (22), δβ m is the installation angle error vector of SINS in the bit. The state vector of drill SINS in motion is extended to…”

Section: Rilling Bit Kc Algorithmsmentioning

confidence: 99%

“…So it is very important to suppress angular velocity drift. At present, many international scholars have proposed different compensation methods for the error of inertial devices, such as Suij's position recursive estimation method based on least squares to reduce the error [22]. Liu et al adopted the second harmonic demodulation scheme of light-emphasized modulation signal to compensate for laser intensity fluctuation in fiber optic gyroscope [23].…”

Section: Introductionmentioning

confidence: 99%

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Research on Drilling Bit Positioning Strategy Based on SINS MWD System

Yang

Luo

et al. 2019

IEEE Access

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Accurate measurement of drill bit position and direction is the main technology to realize automation and intelligence in oil drilling field. In recent years, with the rapid development of complex drilling technologies such as high deviation wells, directional wells and horizontal wells, higher requirements have been put forward for measurement technology, especially for real-time monitoring of bit attitude and position during the drilling process. Therefore, for the past few years, the measurement while drilling (MWD) system has been widely recognized and developed rapidly in precision targeted drilling. among them, strapdown inertial navigation system (SINS) consisting of accelerometer and gyroscope is the key of down-hole measurement while drilling. To solve the problem of accumulated errors in SINS, in this paper, a positioning error correction method based on kinematic constraint-aided (KC) SINS zero velocity updated (ZUPT) model is proposed. Firstly, based on the acceleration and angular velocity information measured by SINS, empirical mode decomposition (EMD) and wavelet de-noising reconstruction are performed for MWD signals. Secondly, the static detection model of the drill bit is established by using the reconstructed signal. Thirdly, using drilling technology to analyze the motion attitude of the bit, the KC model of the down-hole bit is established. By analysis the alternating effect of the KC model and the ZUPT model in the process of the bit movement and stop, the ZUPT model of the SINS is established. Finally, experimental verification is performed by building a drilling platform. The experimental results show that the maximum positioning error of the proposed positioning model is 0.15 m within 300 s. Comparing with a single KC model and a single ZUPT model, the bit positioning accuracy is improved to 92.6%, which effectively suppresses the original cumulative error, and verifies the feasibility of the proposed method. INDEX TERMS Measurement while drilling system, strap-down inertial navigation system, empirical mode decomposition, kinematic constraint-aided, zero velocity updated.

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“…where, in Eq. (22), δβ m is the installation angle error vector of SINS in the bit. The state vector of drill SINS in motion is extended to…”

Section: Rilling Bit Kc Algorithmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on Drilling Bit Positioning Strategy Based on SINS MWD System

Yang

Luo

et al. 2019

IEEE Access

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show abstract

“…They designed an improved method for dual-position alignment to improve the accuracy of initial alignment, but it increases the alignment time and is only applicable to dual-position alignment. A calibration method based on the navigation process for residual gyro drifts was proposed in [17], which can effectively compensate for the residual drifts and improve navigation accuracy. However, this method makes the errors involved fuzzy, and one calibration process takes hundreds of hours.…”

Section: Introductionmentioning

confidence: 99%

Analysis and compensation of residual gyro drifts on azimuth alignment accuracy in the RINS

Wang¹,

Liu²,

Yan³

2022

Meas. Sci. Technol.

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The rotational inertial navigation system (RINS) could use rotational alignment to improve azimuth alignment accuracy significantly. However, due to the existence of magnetic drifts of fiber optic gyros, under the comprehensive influence of the outside world, there will be residual drifts that are unable to be averaged out along the body frame or the geographic frame, which will have a significant impact on the azimuth alignment accuracy. An innovative and effective calibration compensation strategy is proposed by analyzing the generation mechanism of the residual drift and its influence on alignment accuracy, which can significantly improve the azimuth alignment accuracy. With the aid of a high-precision total station, the experimental results of the initial alignment in four directions show that the accuracy of azimuth alignment is improved from 16.5'' to 10.3'' by compensating the residual drifts, which has significant theoretical significance and practical value of engineering application for improving the overall performance of inertial navigation.

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The Influence of Proportions of Different Rotation Modes on Navigation in a Dual-Axis Rotation Scheme

Liang

et al. 2023

Lecture Notes in Electrical Engineering

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Self-calibration and compensation of residual gyro drifts for rotation inertial navigation system with fibre optic gyro

Cited by 8 publications

References 17 publications

Research on Drilling Bit Positioning Strategy Based on SINS MWD System

Research on Drilling Bit Positioning Strategy Based on SINS MWD System

Analysis and compensation of residual gyro drifts on azimuth alignment accuracy in the RINS

The Influence of Proportions of Different Rotation Modes on Navigation in a Dual-Axis Rotation Scheme

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