Development of Magnetic Levitation System for Science and Technology Education: Magnetic Levitation Control by Using a Hall Element Displacement Sensor with Neural Network |
| |
| Authors: | KENTARO ASATO KOHMEI TERUYA TSUTOMU NAGADO SHIRO TAMAKI |
| |
| Affiliation: | 1. Department of Mechanical Systems EngineeringOkinawa College, National Institute of Technology;2. Faculty of EngineeringUniversity of the Ryukyus |
| |
| Abstract: | 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. |
| |
| Keywords: | magnetic levitation system science and technology educational material Hall element, neural network |
|
