An Outline of Inertial Navigation

Lawrence, Anthony

doi:10.1007/978-1-4684-0444-9_2

Cited by 20 publications

(25 citation statements)

References 9 publications

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“…The inertial-based gyroscope is a typical application of inertia technology in the field of measurement. Recent years have seen the proliferation of the tool from high-performance space applications (e.g., planes, missiles, and satellites) to the geological mining drilling [1]. The inertial-based gyroscope can measure borehole trajectory under any formation condition, because it is immune to the interference of magnetic material, a major obstacle in geological exploration, and any other kind of external influence.…”

Section: Introductionmentioning

confidence: 99%

Optimization Research on Thermal Error Compensation of FOG in Deep Mining Using Uniform Mixed‐Data Design Method

Liu

Wang²,

Wang

et al. 2019

Mathematical Problems in Engineering

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Suffered from the unsatisfied time consumption of thermal error compensation, this paper aims to realize a faster and more accurate fibre optic gyroscope (FOG) thermal error compensation plan, so that the deep-hole inclinometer using in mining which is based on FOG will make accurate measurement under external thermal field. Using uniform mixed-data design method, it is learned that the temperature compensation experiments only consumed 1/9 the time required for traditional method within the working condition range of 0~120°C. Suffice it to say that our method can markedly enhance the efficiency of FOG temperature compensation. To this end, the finite-element method (FEM) was also applied to explore the thermal conductivity and simulate the complex boundary conditions of the FOG. Then, the Shupe error of the FOG was calculated and used to derive the FOG error compensation formula, and the factors and their levels affecting the Shupe error in thermal field were considered in error compensation experiments. After that, the optimal design of FOG thermal error compensation experiments was created by FOG error compensation formula and uniform mixed-data design table, and this plan significantly reduced the number of experiments compared to before. Finally, the design was compared with the full-scale design and orthogonal design to verify its accuracy and efficiency. The comparison shows that the proposed method can markedly enhance the efficiency of FOG error compensation and elevate the measuring accuracy of FOG. This paper innovatively applies the uniform mixed-data design method to the field of FOG measurement, and this research offers new insights into the error compensation optimization of FOG measurement.

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Section: Introductionmentioning

confidence: 99%

Optimization Research on Thermal Error Compensation of FOG in Deep Mining Using Uniform Mixed‐Data Design Method

Liu

Wang²,

Wang

et al. 2019

Mathematical Problems in Engineering

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“…The interferometric fiber optic gyroscope (IFOG) was proposed in 1968 [1] and has been developed for decades until the technology and understanding of performance limitations has reached sufficient levels for IFOGs to be commercially used. Today IFOG is a mature technology that delivers high sensitivity, high stability and reliability.…”

Section: Introductionsmentioning

confidence: 99%

Integrated optical driver for interferometric optical gyroscopes

Tran¹,

Komljenović²,

Hulme³

et al. 2017

Opt. Express

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“…This integration results in superior accuracy compared to what any of the other systems can provide on their own [ 4 , 5 , 6 , 7 , 8 , 9 ]. A typical aiding source may consist of an inertial navigation system (INS) [ 10 , 11 , 12 , 13 ], speed sensors [ 14 , 15 ], light detection and ranging (LiDAR) [ 16 , 17 , 18 ], vision sensors [ 19 , 20 , 21 ], maps [ 22 , 23 , 24 ] etc. There are two major GPS/INS integration schemes, which are referred to as loosely-coupled (TC) or tightly-coupled (TC).…”

Section: Introductionmentioning

confidence: 99%

An Enhanced Error Model for EKF-Based Tightly-Coupled Integration of GPS and Land Vehicle’s Motion Sensors

Karamat

Atia

Noureldin

2015

Sensors

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Reduced inertial sensor systems (RISS) have been introduced by many researchers as a low-cost, low-complexity sensor assembly that can be integrated with GPS to provide a robust integrated navigation system for land vehicles. In earlier works, the developed error models were simplified based on the assumption that the vehicle is mostly moving on a flat horizontal plane. Another limitation is the simplified estimation of the horizontal tilt angles, which is based on simple averaging of the accelerometers’ measurements without modelling their errors or tilt angle errors. In this paper, a new error model is developed for RISS that accounts for the effect of tilt angle errors and the accelerometer’s errors. Additionally, it also includes important terms in the system dynamic error model, which were ignored during the linearization process in earlier works. An augmented extended Kalman filter (EKF) is designed to incorporate tilt angle errors and transversal accelerometer errors. The new error model and the augmented EKF design are developed in a tightly-coupled RISS/GPS integrated navigation system. The proposed system was tested on real trajectories’ data under degraded GPS environments, and the results were compared to earlier works on RISS/GPS systems. The findings demonstrated that the proposed enhanced system introduced significant improvements in navigational performance.

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An Outline of Inertial Navigation

Cited by 20 publications

References 9 publications

Optimization Research on Thermal Error Compensation of FOG in Deep Mining Using Uniform Mixed‐Data Design Method

Optimization Research on Thermal Error Compensation of FOG in Deep Mining Using Uniform Mixed‐Data Design Method

Integrated optical driver for interferometric optical gyroscopes

An Enhanced Error Model for EKF-Based Tightly-Coupled Integration of GPS and Land Vehicle’s Motion Sensors

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