Improvement of Position Accuracy of Magnetic Guide Sensor Using Kalman Filter

  • Eunkook Jung
  • Jungmin Kim
  • Hyunhak Cho
  • Junha Lee
  • Sungshin Kim
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 193)

Abstract

This paper is represented to research of method to improve the performance of magnetic guide sensor using Kalman filter. The magnetic guide sensor is calculating the center position of the AGV (Automatic Guided Vehicle) by to measure the magnetic information of a magnetic substance that is magnetic tape, magnet spot. The existing magnetic guide sensor is the device that calculates the center position of the AGV using the magnetic force of the measured data that is one pole to measure each axis at the histogram algorithm. But, the existing method is unfit for requiring the high accuracy such as industrial setting because of interference between sensors and the effect by disturbance. Therefore, in this paper proposed method that increases the position accuracy of the magnetic guide sensor using Kalman filter. To verify the proposed method, we use the AGV to install magnetic guide sensor. And it compare the positioning accuracy of the propose method and the commercialized magnetic guide sensor. As a result, the proposed method was found 24.78% to improve the positioning accuracy of the proposed method than that of the commercialized magnetic guide sensor.

Keywords

magnetic guide sensor Kalman filter AGV 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Eunkook Jung
    • 1
  • Jungmin Kim
    • 1
  • Hyunhak Cho
    • 2
  • Junha Lee
    • 2
  • Sungshin Kim
    • 1
  1. 1.Dept. of Electrical EngineeringPusan National UniversityGeumjeongKorea
  2. 2.Interdisciplinary Cooperative Course: RobotPusan National UniversityGeumjeongKorea

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