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A Parameterized Geometric Magnetic Field Calibration Method for Vehicles with Moving Masses with Applications to Underwater Gliders

机译:具有运动质量的车辆的参数化几何磁场标定方法及其在水下滑翔机中的应用

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摘要

The accuracy of magnetic measurements performed by autonomous vehicles is often limited by the presence of moving ferrous masses. This work presents a parameterized ellipsoid field calibration method for magnetic measurements in the sensor frame. In this manner, the ellipsoidal calibration coefficients are dependent on the locations of the moving masses. The parameterized calibration method is evaluated through field trials with an autonomous underwater glider equipped with a low power precision fluxgate sensor. A first set of field trials were performed in the East Arm of Bonne Bay, Newfoundland, in December 2013. During these trials, a series of calibration profiles with the mass shifting and ballast mechanisms at different locations were performed before and after the survey portion of the trials. Further trials were performed in the Labrador Sea in July 2014 with two reduced sets of calibration runs. The nominal ellipsoidal coefficients were extracted using the full set of measurements from a set of calibration profiles and used as the initial conditions for the polynomials, which define each parameterized coefficient. These polynomials as well as the sensor misalignment matrix were then optimized using a gradient descent solver, which minimizes both the total magnetic field difference and the vertical magnetic field variance between the modeled and measured values. Including the vertical field in this manner allows for convergence in spite of severe limitations on the platform's motion and for. computation of the vehicle's magnetic heading.
机译:由自动驾驶车辆执行的磁性测量的准确性通常受到移动的铁质物质的存在的限制。这项工作提出了一种用于传感器框架中磁测量的参数化椭球场校准方法。以这种方式,椭圆校准系数取决于运动质量的位置。通过使用配备有低功率精密磁通门传感器的自主式水下滑翔机,通过现场试验对参数化的校准方法进行评估。 2013年12月,在纽芬兰的邦纳湾东臂进行了第一批现场试验。在这些试验中,在加利福尼亚州调查部分的前后,进行了一系列标定曲线,以及不同位置的质量转移和压载机理。试验。 2014年7月,在拉布拉多海进行了进一步的试验,减少了两组校准运行。使用从一组校准曲线中获取的全部测量值来提取名义椭球系数,并将其用作多项式的初始条件,以定义每个参数化系数。然后,使用梯度下降求解器优化这些多项式以及传感器失准矩阵,从而将模型值和测量值之间的总磁场差异和垂直磁场差异最小化。尽管对平台的运动有严格的限制,但以这种方式包括垂直场仍然可以收敛。计算车辆的磁航向。

著录项

  • 来源
    《Journal of Field Robotics》 |2017年第1期|209-223|共15页
  • 作者

    Brian Claus; Ralf Bachmayer;

  • 作者单位

    Applied Ocean, Physics and Engineering, Woods Hole Oceanographic Institute, Woods Hole, MA;

    Department of Ocean and Naval Architecture Engineering, Memorial University, St. John's, NL;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 02:49:02

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