Magnetic Induction Tomography

- Over View -

Magnetic induction tomography is diagnosis instruments, such as MRI
Form the exciter coil, magnetic field is generated on object.
Eddy current is induced in accordance with object conductivity.
From the secondary magnetic field, conductivity can be evaluated.

[1] J. Jeon and H. Son, “Design improvement of magnetic induction tomography using the extended multi-poles and equivalent circuit modeling,” IEEE Int. Conf. Advanced Intelligent Mechatronics (AIM), 2017

[2] J. Jeon and H. Son, “Active Control of Magnetic Field using eDMP model for Bio-medical Applications,” IEEE/ASME Trans. Mechatronics, 2018

[3] C. Park, J. Jeon, B. Oh,  H. Chae, K. Park, H. Son, and J. Kim, “A Portable Phase-Domain Magnetic Induction Tomography Transceiver with Phase-Band Auto-Tracking and Frequency-Sweep Capabilities,” Sensors, 2018

[4] J. Jeon, W. Chung, and H. Son, “Magnetic Induction Tomography Using Magnetic Dipole and Lumped Parameter Model,” IEEE Access, 2019

Orientation and Torque measurement for Spherical wheel motor

- Over View -

As one of the novel motors capable of multi-DOF manipulation, permanent magnet spherical motors (PMSMs) that can provide continuous and dexterous motion in one joint have been widely studied for their advantages in structure and energy efficiency. However, it is challenging to measure the three highly-coupled rotational motions in real time. Unlike some previous contact sensing systems using optical encoders to measure rotation along each axis separately, non-contact sensing system using magnetic field(MF) and neural network have been studied so as to avoid friction and additional moment inertia, which may damage dynamic performance. But in neural networks based sensing system, the relation between orientation/position of dynamic system and MF must be unique to solve the inverse computation. To determine bijective relation, inverse model plot is proposed using a combination of magnetic field.

[1] J. Gou, C. Bak, and H. Son, “Design of sensing system for a spherical motor based on Hall Effect sensors and neural networks,” IEEE Int. Conf. Advanced Intelligent Mechatronics (AIM), 2015

[2] J. Kim and H. Son, “Two-DOF orientation measurement system for a magnet with single magnetic sensor and neural network,” Int. Conf. Ubiquitous Robots and Ambient Intelligence (URAI), 2017