Modeling Temperature Data of RLG's Scale Factor Using LS-SVM

Jia-he, Xia; Yongyuan, Qin; Li, Rui

doi:10.1109/kamw.2008.4810536

Cited by 1 publication

(1 citation statement)

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“…As a result, existing schemes have different error modulation effects for IMU with different precision. For example, the scale factor error of the existing fiber optical gyroscope (FOG) is usually larger than that of ring laser gyroscope (RLG) [20,21]. The influence of the scale factor error needs to be mainly considered for FOG, but this error term may be a secondary factor for RLG in the process of designing the rotational scheme.…”

Section: Numbermentioning

confidence: 99%

A novel error modulation rotation scheme for dual-axis rotational inertial navigation system

Wei,

Guan,

et al. 2024

Meas. Sci. Technol.

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Dual-axis rotational inertial navigation system (RINS) can effectively suppress the error accumulation of inertial navigation system, thereby improve the long-term navigation accuracy through rotating inertial measurement unit (IMU) according to corresponding rotation scheme. The navigation accuracy of RINS is predominantly contingent on the IMU rotation scheme. A reasonable rotation scheme can effectively attenuate or even obviate the navigation errors stemming from IMU errors, whereas an ill-considered scheme may lead to swift divergence of navigation errors. In this paper, the principle of IMU errors suppression is meticulously analyzed during rotation. By comprehensively evaluating the impact of individual IMU errors on navigation accuracy alongside their corresponding error modulation characteristics, a novel 32-position rotation scheme is devised. The proposed scheme demonstrates a notable capacity to minimize the adverse effects of IMU errors on navigation accuracy and to enhance error suppression efficacy within a modulation cycle. Meanwhile, the long-endurance navigation accuracy of RINS is substantially enhanced. The efficacy of the 32-position scheme posited herein is empirically substantiated through a 24-hour simulation and navigation experiment.

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Section: Numbermentioning

confidence: 99%