Accuracy improvement of magnetic guidance sensor using fuzzy inference system

This paper proposes performance improvement of a magnetic guidance sensor using fuzzy inference system. The magnetic guidance sensor is used in measuring the location of AGV (automated guided vehicle). The magnetic guidance sensor had low positioning accuracy and it is inefficient because it is gene...

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Bibliographic Details
Published inThe 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems pp. 1639 - 1642
Main Authors Jichul Park, Kyunghoon Jung, Jungmin Kim, Sungshin Kim
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2012
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Summary:This paper proposes performance improvement of a magnetic guidance sensor using fuzzy inference system. The magnetic guidance sensor is used in measuring the location of AGV (automated guided vehicle). The magnetic guidance sensor had low positioning accuracy and it is inefficient because it is generally on/off digital type and can measure only N magnetic polarity. To solve those problems, it is improvement of accuracy using by fuzzy inference system, in addition, facilitates in two polarities to measure using by analog magnetic guidance sensor produced directly. For evaluate the improvement of accuracy of proposed method, analog magnetic sensor is necessary to compare it with digital magnetic guidance sensor presently. As a result, the performance of proposed method is more accuracy improvement and analog magnetic guidance sensor is possible to measure in two polarities.
ISBN:9781467327428
1467327425
DOI:10.1109/SCIS-ISIS.2012.6505168