• DocumentCode
    2692231
  • Title

    Rapid Rough North-Finding Method of Gyrotheodolite in Any Initial Orientation

  • Author

    Dong, Guimei ; Zhang, Weiyu ; Lin, Yuchi

  • Author_Institution
    Dept. of Electromech. Eng., Tianjin Agric. Univ., Tianjin, China
  • fYear
    2012
  • fDate
    7-9 July 2012
  • Firstpage
    433
  • Lastpage
    436
  • Abstract
    Advanced high-efficiency rough north-finding method is the crux of rapid accurate measurement of gyrotheodolite. Based on gyroscope working principle, a formula to determine azimuth in any initial orientation was derived through analyzing a mathematic model of gyro motions. In combination with trend forecast method, the cursor data of gyro motion captured by CCD sensor for short moment was used to predict the whole period of data, which could calculate the measurement result rapidly. According to the regularity of prediction results in different orientation of 360°, a multiple-stepping north-finding method based on distribution characteristics of prediction results was proposed, which made the gyroscope approach the true north gradually in short time. The experiments demonstrate that this rough north-finding method can reach within ±30´ precision only in 1min of gyro´s working time. It provides a new idea for gyroscope to achieve rapid high-accuracy north-finding, which is a major breakthrough in improving speed of rough north-finding.
  • Keywords
    CCD image sensors; geophysical equipment; gyroscopes; navigation; theodolites; Any initial orientation; CCD sensor; gyroscope; gyrotheodolite; rapid rough north finding method; Charge coupled devices; Charge measurement; Educational institutions; Gyroscopes; Instruments; Rotation measurement; Time measurement; any initial orientation; gyrotheodolite; multiple-stepping; rapid rough north-finding; trend forecast;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Measurement, Control and Sensor Network (CMCSN), 2012 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4673-2033-7
  • Type

    conf

  • DOI
    10.1109/CMCSN.2012.106
  • Filename
    6245892