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Enhanced Subsea Acoustically Aided Inertial Navigation

机译:增强的海底声学辅助惯性导航

摘要

This thesis deals with enhancing state-of-the-art underwater acoustic–inertial navigation systems that are necessary for deep water robotic operations. Throughout the project intelligent and simple operational solutions to complex real-world problems was emphasized.Offshore hydrocarbon, oil and gas, exploration is advancing further into treacherous territories such as deeper waters and arctic region. Deep underwater navigation poses a deluge of challenges; there is no such luxury as Global Navigation Satellite Systems (GNSS) underwater. Many of these challenges have been solved, but vessel time is expensive so lots of effort is put into cutting down on time spent on all tasks. Accuracy demanding tasks such as subsea construction and surveying are subject to strict quality control requirements taking up a lot of time. Offshore equipment is rugged and sturdy as the environmental conditions are harsh, likewise should the use of it be simple and robust to ensure that it actually works.The contributions of this thesis are all focused on enhancing accuracy and time efficiency while bearing operational reliability and complexity strongly in mind. The basis of inertial navigation, the inertial sensors are treated in a calibration study with three scenarios: factory, in-field and at-sea calibration. Factory calibration compensates for sensor misalignments during the manufacturing process and for intrinsic sensor biases etc. For calibration a precise two-axis turn-table is required. It is shown that long-term effects on inertial sensors can be calibrated and assessed in-field, on land without specialized equipment, or at sea with certain realistic limitations and assumptions.Automatic calibration of complex multi-sensor acoustic-inertial navigation systems, using parameter estimation, is employed on unprecedented high dynamic trajectories collected from sea-trials. These are needed to increase navigation accuracy to the cm-level and beyond. The same techniques can also be used for regular navigation in order to minimize both time and human error in parameter measurements.In a unifying litmus test, the entire body of work is applied in a novel and potentially revolutionary methodology for the most challenging of all subsea survey and construction tasks: spool piece and jumper metrology. Two distinct approaches are investigated: One seeks to eliminate acoustic seabed transponders, but keep transponders at desired survey points; the other uses a mapping sensor such as subsea lidar to simply map the area in question. Both approaches are shown to work in practice. Generating high resolution maps, as the latter approach, is how the author anticipates all subsea surveys will be conducted in the near future.
机译:本文致力于增强深水机器人操作所必需的最新水下声惯性导航系统。在整个项目中,强调了针对复杂现实问题的智能,简单的操作解决方案。海上油气,石油和天然气的勘探正在进一步推进到诸如深水区和北极地区等危险地区。深度水下航行带来了巨大的挑战。水下没有全球导航卫星系统(GNSS)这样的奢侈品。这些挑战中的许多已经解决,但是船只的时间昂贵,因此要花很多精力来减少在所有任务上花费的时间。诸如海底施工和测量之类的对精度要求很高的任务需要严格的质量控制要求,这需要花费大量时间。当环境条件恶劣时,海上设备也要坚固耐用,同样,应使用简单,耐用的设备以确保其实际工作。本文的贡献都集中在提高准确性和时间效率上,同时还要承受操作的可靠性和复杂性。强烈考虑。在惯性导航的基础上,惯性传感器在以下三种情况下的校准研究中得到处理:工厂校准,现场校准和海上校准。工厂校准可以补偿制造过程中的传感器失准以及传感器固有的偏差等。为进行校准,需要一个精确的两轴转台。结果表明,对惯性传感器的长期影响可以在现场,没有专用设备的情况下或在海上以某些现实的限制和假设进行校准和评估。使用复杂的多传感器声惯性导航系统进行自动校准参数估计用于从海试中收集到的空前的高动态轨迹。这些是将导航精度提高到cm级及更高级别所必需的。相同的技术也可以用于常规导航,以最大程度地减少参数测量中的时间和人为错误。在统一的石蕊试纸中,整个工作体都采用了新颖且具有潜在革命性的方法来应对所有海底最具挑战性的方法勘测和施工任务:线轴件和跳线测量。研究了两种不同的方法:一种试图消除声学海底应答器,但将应答器保持在所需的测量点;另一个则使用诸如海底激光雷达的地图传感器来简单地映射所讨论的区域。两种方法都显示出实际的作用。作为后一种方法,生成高分辨率地图是作者期望所有海底勘测将在不久的将来进行的方式。

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