Effect of Axial Slit on Metallic Tube for Wireless Power Transfer via Magnetic Resonance Coupling

Wireless power transfer using a metallic tube with an axial slit was attempted to demonstrate the wireless power transfer using magnetic resonance coupling to the diagnostics infrastructure. The transmission efficiency with variable distance was measured using the transmission and receiver resonators in the tube. Besides, the transmission and receiver resonators were, respectively, set outside and inside the tube. These experiments are carried out in the computational study using FDTD method.     

Elucidation of mechanism of aminoreductone formation in the Maillard reaction of lactose

The aim of this study was to elucidate the formation mechanism of aminoreductone, an important indicator for estimating the extent of Maillard reaction of lactose and amino compounds. Using the model system of lactose and butylamine, the model solution of lactose and milk proteins, and milks, it was concluded that d ‐galactose was liberated at the same time as the generation of aminoreductone. It was shown that the extent of the Maillard reaction and the lactose degradation during heating depended closely on the concentration ratio of amino group/lactose in the sample solution.     

GCP acquisition using simulated SAR and evaluation of GCP matching accuracy with texture features

Abstract

A method for ground control point (GCP) acquisition using a simulated synthetic aperture radar (SAR) image derived from a digital elevation model (DEM) is proposed. Also proposed is a method for the evaluation of the accuracy of GCP matching with texture features from a reference GCP chip image. Results from experiments with simulated GCP chip images as reference images and geometrically distorted GCP chip images, derived using simulated SAR images as current images, show good coincidence with GCP matching accuracy in terms of pixel distances between matched GCP points in reference and current chip images and texture features. In particular, the correlation coefficient between the angular second moment (ASM) and the matching accuracy is 0.757, followed by Ent (entropy), Horn (homoginiety), Dis (dissimilarity), Con (contrast), Var (variability coefficient) and Chi (Chi-square), for the skewed images while for the rotated images, Dis shows the highest correlation of 0.628, followed by Horn, Asm, Con, Ent, Chi and Var. Based on the proposed methods, one can easily generate GCP chips images from a DEM, and also evaluate GCP matching accuracy with texture features of simulated SAR from a GCP chip image.     

High‐Precision Sensorless Force Control by Mode Switching Controller for Positioning Devices with Contact Operation

This paper presents an approach to high‐precision sensorless force control for positioning devices that engage in a contact operation. The sensorless force control is designed with a sliding mode controller and contact model that provide the required control specifications to compensate for the nonlinear spring characteristics of the contact mechanism. The effectiveness of the proposed control approach was verified through numerical simulations and experiments using a prototype.     

Unscented Kalman Filtering for Self‐Sensing Magnetic Levitation against Magnetic Saturation

This paper investigates the magnetic saturation problem of self‐sensing electromagnetic levitation system and presents a novel self‐sensing scheme. The proposed approach employs a demodulation technique. By superimposing a high‐frequency voltage, the resulting electromagnet coil currents have ripples that can be used for gap sensing. This paper shows that the gap length is not uniquely estimated when using only the relation between the ripple, the control currents, and the gap. The constraint conditions are to be determined to solve the problem. The proposed approach utilizes the dynamical motion model of the electromagnetic levitation system to uniquely identify the gap. Introducing the system behavior dynamics, the gap can be exactly estimated. To incorporate the system model with the gap sensing algorithm, a nonlinear filtering methodology is employed. The proposed estimator is demonstrated by the experiments. The results show that it is possible to address magnetic saturation with the proposed gap sensing scheme. The estimator has a good accuracy in a wider gap range compared to the conventional methods.