Development of a Hall element displacement sensor with artificial neural network for magnetic levitation control

In this study, we developed a Hall element displacement sensor to control magnetic levitation (maglev) systems. This sensor is devised to achieve lower-cost maglev systems. Furthermore, in order to more accurately obtain the gap between an electromagnet and a levitated object, artificial neural network (ANN) is applied to the developed sensor. Finally, the validity of the developed Hall element displacement sensor with ANN is verified using a real-time measurement software.