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AIDED INERTIAL MEASUREMENT SYSTEM APPLIED TO TORPEDO PILE TRAJECTORY RECONSTRUCTION

机译:应用于鱼雷桩弹道重建的辅助惯性测量系统

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Torpedo pile has become one of the most popular foundation systems in Brazil's offshore oil exploitation, mostly, due to its low installation cost. Additionally, torpedo piles have shown good fixation capability even when applied in mooring configuration such as taut leg with relatively close angles to the vertical. This fixation capability is closely dependent to the depth of penetration and the final attitude of the pile. In order to determine these parameters, MEMS-based Inertial Measurement Units have been used. Units of this kind are known for high noise density and, alone, are not adequate to any kind of navigation. Concerning these limitations, other sources of data are added to the inertial measurements, in order to improve the system state estimation. This data fusion is carried out by the Kalman Filtering and is also called Aided Inertial Measurement Units.This paper presents the Kalman Filter implementation and the results obtained from the fusion of the pressure gage signal, alternative pitch and roll measurements and the inertial measurements applied to the torpedo pile deployment.
机译:鱼雷桩由于安装成本低而已成为巴西近海石油开采中最受欢迎的地基系统之一。另外,鱼雷桩即使在系泊构造中使用时也显示出良好的固定能力,例如在与垂直方向相对较近的角度的拉紧腿中。这种固定能力与穿透深度和桩的最终姿态密切相关。为了确定这些参数,已经使用了基于MEMS的惯性测量单元。这种单元以高噪声密度而著称,仅此一项就不足以进行任何类型的导航。关于这些限制,为了改进系统状态估计,将其他数据源添加到惯性测量中。这种数据融合是由卡尔曼滤波执行的,也称为辅助惯性测量单元。本文介绍了卡尔曼滤波器的实现以及压力计信号,可选的俯仰和侧倾测量以及惯性测量的融合结果。鱼雷桩的部署。

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