• DocumentCode
    1130577
  • Title

    Error Analysis of an Algorithm for Magnetic Compensation of Aircraft

  • Author

    Bickel, S.H.

  • Author_Institution
    Texas Instruments
  • Issue
    5
  • fYear
    1979
  • Firstpage
    620
  • Lastpage
    626
  • Abstract
    The Tolles and Lawson equations were programmed on the IBM 370-65 computer. These equations predict the magnetic signals which are generated by the permanent moments, the induced moments and the eddy-current terms of an aircraft as it maneuvers in the Earth´s magnetic field. The least mean squared (LMS) solution of these equations, which was developed for the microprocessor compensation program, was also simulated on the IBM 370 computer. By measuring the simulated figure of merit (FOM) before and after applying compensation, several types of error were studied. It was found that the error introduced by truncation effects on a 16-bit microprocessor limits the FOM to 50 milligammas. Since this figure is an order of magnitude smaller than the design goal, it is concluded that the algorithm is not limited by the microprocessor capacity. Other studies show that although the baseline model is insensitive to bearing separation, the bearing separation should be 900° ± 7.50° if 3 iterations are used in the post processor and 900° ± 15° if 5 iterations are used. Although the algorithm is robust and relatively insensitive to various types of noise, experimental evidence suggests that hysteresis can cause temporal variations in the Tolles and Lawson model. It is suggested that whitening and/or adaptive techniques could be used to minimize such variations.
  • Keywords
    Aircraft; Computational modeling; Computer errors; Earth; Equations; Error analysis; Magnetic field measurement; Magnetic separation; Microprocessors; Signal generators;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/TAES.1979.308850
  • Filename
    4102217