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http://dx.doi.org/10.5391/JKIIS.2012.22.3.367

Positioning Accuracy Improvement of Analog-type Magnetic Positioning System using Fuzzy Inference System  

Kim, Jung-Min (부산대학교 전자전기공학과)
Jung, Kyung-Hoon (부산대학교 전자전기공학과)
Jung, Eun-Kook (부산대학교 전자전기공학과)
Cho, Hyun-Hak (부산대학교 로봇관련협동과정)
Kim, Sung-Shin (부산대학교 전자전기공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.22, no.3, 2012 , pp. 367-372 More about this Journal
Abstract
This paper presents a development of an analog type magnetic positioning system and its positioning accuracy improvement using fuzzy inference system. As the magnetic positioning system used on a magnet-gyro guidance system for AGV(automatic guided vehicle), it measures a position of magnet embedded in floor of the work place. The existing product of the magnetic positioning system is very expensive in Korea because it is being sold in a foreign country exclusively. Moreover, the positioning accuracy of the product is low because it uses digital type unipolar hall sensors. Hence, we developed the magnetic positioning system by ourselves and improved the positioning accuracy of the developed magnetic positioning system using fuzzy inference system. For experiment, we used the analog type magnetic positioning system which we have developed, and compared the performance of the proposed method with the performance of the existing positioning method for the magnetic positioning system. In experimental results, we verified that the proposed method improved the positioning accuracy of the magnetic positioning system.
Keywords
magnetic positioning system; magnet-gyro; fuzzy; positioning; automatic guided vehicle;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
연도 인용수 순위
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