Today’s automotive industry has focused its studies on electric vehicles (EVs) or hybrid electric vehicles (HEVs) rather than gasoline-powered vehicles. For this reason, more investment has been made in electric motors with high efficiency, high torque density, and high-power factor to be used in both EVs and HEVs. In this study, an outer-rotor permanent-magnet-assisted synchronous reluctance motor (PMaSynRM) with a new rotor topology was designed for use in an EV. The design has a transversally laminated anisotropic (TLA) rotor structure. In addition, neodymium-iron-boron (NdFeB) magnets were used in rotor topology. The stator slots were designed as distributed windings, so torque ripples are minimized. At the same time, the maximum electromagnetic torque was achieved. The analysis of the designed motor was carried out using the finite element method (FEM). Optimal values of motor parameters were obtained by improving the rotor geometry of the three-phase PMaSynRM in order to obtain maximum torque and minimum torque ripple in the design. The motor is in a 48/8 slot/pole combination, a speed of 750 rpm and a power of 1 kW. The simulation results showed that the design achieved maximum torque and minimum torque ripple.

High-frequency signal injection (HFI) is widely used for sensorless motor control but has mostly been studied in machines with high saliency ratios. In outer-rotor permanent magnet-assisted synchronous reluctance motors (OR-PMaSynRMs), the external rotor extends the magnetic flux path and increases the symmetry of the reluctance barriers. This reduces the inductance difference between the dq-axes, thereby lowering the saliency and weakening the effectiveness of conventional HFI methods in position estimation. Hence, advanced sensorless control strategies are required for such motors. This study presents an adaptive HFI control strategy that combines frequency, amplitude and filter adaptation with a proposed voltage limiting mechanism. The algorithm has been experimentally implemented for the first time on an OR-PMaSynRM. The results confirm the applicability of the HFI technique to low-saliency motors and its ability to provide reliable and robust sensorless control.

Aortitis, inflammation of the aortic tissue, is most commonly caused by vasculitic rheumatic conditions, and less frequently infectious organisms. Involvement of the aorta is well defined in HLA-B27-associated spondyloarthropathies such as long-standing ankylosing spondylitis and Reiter’s syndrome. However, unlike other spondyloarthropathies, aortic involvement or true aortitis is not a feature of psoriatic arthritis and has been reported in only a few cases. Herein, we report the case of a 22 year-old woman with psoriatic arthritis who developed descending aortitis while using tumor necrosis factor inhibitors.

3D Magnetic Analysis of Permanent Magnets in Spherical Configuration Spherical magnet;Spherical motor;3D magnetic analysis; The present study aims to increase the amount of surface flux by changing the magnetic directions of a spherical magnet (NdFeB) consisting of four poles. For this purpose, the magnetic directions of quartile spherical slices constituting the spherical magnet are manipulated and their three-dimensional analyses are carried out by using finite-element method via Maxwell environment. The analysis of the magnetic quartile spheres with four different magnetic directions are compared to the each other, and then the quartile sphere with the best surface flux distribution is suggested for rotor structure. It is clear emphasized that the induced torque of the spherical motor, in which such a rotor is used, will be improved as well.