2016
DOI: 10.1541/ieejias.136.744
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Development of Magnetic Levitation System for Science and Technology Education: Magnetic Levitation Control by Using a Hall Element Displacement Sensor with Neural Network

Abstract: SUMMARY In this study, we developed a magnetic levitation system using a Hall element displacement sensor with neural network for science and technology education. The sensor configured with three Hall elements was devised in order to measure displacement from an electromagnet to a levitated object with a permanent magnet. Use of the Hall element displacement sensor achieves a lower cost magnetic levitation system. Furthermore, three‐layered feedforward neural network was utilized in order to improve the preci… Show more

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Cited by 3 publications
(7 citation statements)
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“…5 to derive displacement of a levitated object from output voltage of each Hall element [7,8]. 5 to derive displacement of a levitated object from output voltage of each Hall element [7,8].…”
Section: Displacement Calculation Using Neural Networkmentioning
confidence: 99%
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“…5 to derive displacement of a levitated object from output voltage of each Hall element [7,8]. 5 to derive displacement of a levitated object from output voltage of each Hall element [7,8].…”
Section: Displacement Calculation Using Neural Networkmentioning
confidence: 99%
“…Specifically, we employed the sensor head ZX2-LD50L and amplifier unit ZX2-LDA11 by OMRON Corp.; however, this sensor adds a cost about 80,000 yen. Thus, in this study we developed a maglev system using a Hall element displacement sensor [7,8] that can be manufactured for just several hundred yen, thus meeting Requirement 3. Here, we explain about the system configuration and derivation of its mathematical model.…”
Section: Maglev Systemmentioning
confidence: 99%
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