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相关概念视频

Compass01:23

Compass

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The compass is a fundamental instrument that operates by aligning its magnetic needle with Earth's magnetic field. This alignment facilitates navigation and orientation, offering a means to determine direction relative to magnetic north. However, the magnetic needle points to magnetic north, which differs slightly from true geographic north due to magnetic declination, which is the angular deviation between these two points. Declination varies based on geographic location and shifts over time...
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Gyroscope: Precession01:24

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Precession can be demonstrated effectively through a spinning top. If a spinning top is placed on a flat surface near the surface of the Earth at a vertical angle and is not spinning, it will fall over due to the force of gravity producing a torque acting on its center of mass. However, if the top is spinning on its axis, it precesses about the vertical direction, rather than topple over due to this torque. Precessional motion is a combination of a steady circular motion of the axis and the...
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Gyroscope01:02

Gyroscope

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A gyroscope is defined as a spinning disk in which the axis of rotation is free to assume any orientation. When spinning, the orientation of the spin axis is unaffected by the orientation of the body that encloses it. The body or vehicle enclosing the gyroscope can be moved from place to place, while the orientation of the spin axis remains the same. This makes gyroscopes very useful in navigation, especially where magnetic compasses cannot be used, such as in crewed and crewless spacecraft,...
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Introduction to Global Positioning System01:30

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The Global Positioning System (GPS) revolutionized positioning on Earth, providing precise location data through satellite ranging. The GPS system was developed in 1978 by the U.S. Department of Defense  for military use, and it became available for civilian applications in 1983, transforming fields including navigation, fleet management, and time synchronization for telecommunications systems.GPS consists of satellites in medium Earth orbit, about 20,200 kilometers above the surface,...
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Polar and Cylindrical Coordinates01:22

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The Cartesian coordinate system is a very convenient tool to use when describing the displacements and velocities of objects and the forces acting on them. However, it becomes cumbersome when we need to describe the rotation of objects. So, when describing rotation, the polar coordinate system is generally used.
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Inertial Frames of Reference01:03

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Newton’s first law is usually considered to be a statement about reference frames. It provides a method for identifying a special type of reference frame: the inertial reference frame. In principle, we can make the net force on a body zero. If its velocity relative to a given frame is constant, then that frame is said to be inertial. So, by definition, an inertial reference frame is a reference frame where Newton's first law holds valid. Newton's first law applies to objects with...
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无微电机系统-惯性导航系统/偏振指南针导航方法与数据和模型双驱动方法.

Huijun Zhao1, Chong Shen1, Huiliang Cao1

  • 1The State Key Laboratory of Dynamic Measurement Technology, The School of Instrument and Electronics, North University of China, Taiyuan 030051, China.

Micromachines
|February 24, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了一种双重数据和模型驱动的方法,以增强与偏振指南针 (PC) 集成的微电机系统-惯性导航系统 (MEMS-INS). 这种方法可以在具有挑战性的物联网环境中提高导航精度.

关键词:
纳克斯 (NARX) 是一种毒品.立方体卡尔曼波器的过器综合导航系统 综合导航系统变量贝叶斯式方法的贝叶斯式方法.

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科学领域:

  • 机器人技术和自主系统
  • 传感器融合式传感器
  • 导航技术 导航技术 导航技术

背景情况:

  • 与偏振指南针 (PC) 集成的微电机系统-惯性导航系统 (MEMS-INS) 对于物联网 (IoT) 应用中的车辆导航至关重要.
  • 这些集成系统在复杂,动态和封闭的环境中面临着诸如累积错误和时间变化的噪声共变等挑战.
  • 现有的方法在这种不利条件下难以保持准确性和可靠性.

研究的目的:

  • 为MEMS-INS/PC集成系统提出一种新的双数据和模型驱动的无导航方法.
  • 为了解决累积误差和时间变化的测量噪声共变的局限性.
  • 为了提高整体性能,稳定性和在充满挑战的环境中导航的准确性.

主要方法:

  • 一个非线性自回归神经网络 (NARX) 与高斯-牛顿贝叶斯规范化列车来建模MEMS-INS输出和PC标题增量以实现数据驱动的操作.
  • 为模型驱动组件建立了一个非线性MEMS-INS/PC松散合导航模型.
  • 变量贝叶斯方法估计时间变化的测量噪声共变率,立方卡尔曼波器解决了非线性导航问题.

主要成果:

  • 拟议的双重数据和模型驱动方法在实验验证中表现出了稳定性和有效性.
  • 该系统成功地模拟了集成导航系统的动态特征.
  • 高精度定位信息即使在复杂,封闭和动态的环境中也可稳定提供.

结论:

  • 开发的双数据和模型驱动方法显著提高了MEMS-INS/PC集成导航系统的性能.
  • 该方法有效地减轻累积错误,并处理随时间变化的噪声共变性.
  • 这一进步为高精度车辆导航提供了可靠的解决方案,用于挑战现实世界的物联网应用.