dc.citation.conferencePlace |
KO |
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dc.citation.conferencePlace |
Maison Glad Jeju Jeju |
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dc.citation.endPage |
453 |
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dc.citation.startPage |
448 |
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dc.citation.title |
14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017 |
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dc.contributor.author |
Kim, Junguk |
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dc.contributor.author |
Son, Hungsun |
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dc.date.accessioned |
2023-12-19T18:39:12Z |
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dc.date.available |
2023-12-19T18:39:12Z |
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dc.date.created |
2017-12-14 |
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dc.date.issued |
2017-06-28 |
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dc.description.abstract |
This paper presents to develop measuring a two degree-of-freedom (DOF) orientation of a permanent magnet with a three dimensional Hall-effect sensor. Using magnetic field of a permanent magnet, the orientation of an object embedded with the magnetic sources can be tracked in real-time. Orientation tracing method based on magnetic field has advantages such as contact-free measurement without any extra mechanics and no requirement of line-of-sight problem. However, it is challenging to calculate orientation from a magnetic field because the field depending on rotational angles is highly nonlinear and has uncertainties with a non-unique solution. In this paper, a cylindrical permanent magnet is used as the excitation source and artificial neural network(ANN) have been applied to compensate the difficulties. In both simulation and experiment, the measurement accuracy according to a motion range is validated. It can be expected to explore various permanent magnet-based systems such as joystick application, spherical motor. |
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dc.identifier.bibliographicCitation |
14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017, pp.448 - 453 |
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dc.identifier.doi |
10.1109/URAI.2017.7992773 |
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dc.identifier.isbn |
978-150903055-2 |
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dc.identifier.scopusid |
2-s2.0-85034254000 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/37289 |
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dc.identifier.url |
http://ieeexplore.ieee.org/document/7992773/ |
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dc.language |
영어 |
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dc.publisher |
14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017 |
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dc.title |
Two-DOF orientation measurement system for a magnet with single magnetic sensor and neural network |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2017-06-28 |
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