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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
Author(s) -
ASATO KENTARO,
TERUYA KOHMEI,
NAGADO TSUTOMU,
TAMAKI SHIRO
Publication year - 2017
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.22975
Subject(s) - hall effect sensor , levitation , magnetic levitation , displacement (psychology) , engineering , electromagnet , electrodynamic suspension , feed forward , magnet , electrical engineering , mechanical engineering , control theory (sociology) , acoustics , physics , magnetic field , control engineering , computer science , magnetic energy , control (management) , artificial intelligence , psychology , magnetization , quantum mechanics , psychotherapist
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 precision of the Hall element displacement sensor. Finally, operation verification of the developed magnetic levitation system was conducted by designing state feedback regulator with observer.