scholarly journals Coil- and phase-flux-linkage characteristics of dual excited permanent magnet machijnes equipped with different winding configurations

2018 ◽  
Vol 37 (3) ◽  
pp. 758 ◽  
Author(s):  
C.C. Awah ◽  
O.I. Okoro
Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2311
Author(s):  
Mudassir Raza Siddiqi ◽  
Tanveer Yazdan ◽  
Jun-Hyuk Im ◽  
Muhammad Humza ◽  
Jin Hur

This paper presents a novel topology of dual airgap radial flux permanent magnet vernier machine (PMVM) in order to obtain a higher torque per magnet volume and similar average torque compared to a conventional PMVM machine. The proposed machine contains two stators and a sandwiched yokeless rotor. The yokeless rotor helps to reduce the magnet volume by providing an effective flux linkage in the stator windings. This effective flux linkage improved the average torque of the proposed machine. The competitiveness of the proposed vernier machine was validated using 2D finite element analysis under the same machine volume as that of conventional vernier machine. Moreover, cogging torque, torque ripples, torque density, losses, and efficiency performances also favored the proposed topology.


2013 ◽  
Vol 416-417 ◽  
pp. 577-582
Author(s):  
Li Yi Li ◽  
He Zhu ◽  
Ming Na Ma ◽  
C.C. Chan

The thesis systematically researches electromagnetism and mechanical characteristic of primary segmented permanent magnet linear synchronous motor (PS-PMLSM), and discusses the varying rules of coupling flux linkage and inductance of each stator segment. The paper propose the space vector modulation direct thrust control (SVM-DTC) algorithm that based on thrust and flux observer, but also analyzes and builds adaptive slide mode observer (SMO), which adopts multi-segment estimate back-EMF combined method and phase locked loops (PLL) to estimate the position and speed of mover. Owing to the methods above, they are able to efficiently solve application problems in PS-PMLSM, which can't be settled through the conventional SVM-DTC and sensorless controlling method. Finally, the effectiveness of the algorithms is verified by simulation test.


2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Hongchang Ding ◽  
Xiaobin Gong ◽  
Yuchun Gong

For high-speed permanent magnet synchronous motor (PMSM), its efficiency is significantly affected by the performance of permanent magnets (PMs), and the phenomenon of demagnetization will occur with the increase of PM temperature. So, the temperature detection of PMs in rotor is very necessary for the safe operation of PMSM, and direct detection is difficult due to the rotation of rotor. Based on the relationship between permanent magnet flux linkage and its temperature, in this paper, a new temperature estimation method using model reference fuzzy adaptive control (MRFAC) is proposed to estimate PM temperature. In this method, the model reference adaptive system (MRAS) is built to estimate the permanent magnet flux linkage, and the fuzzy control method is introduced into MRAS, which is used to improve the accuracy and applicable speed range of parameters estimated by MRAS. Different permanent magnet flux linkages are estimated in MRFAC based on the variation of stator resistance, which corresponds to different working temperatures measured by thermal resistance, and the PM temperature will be obtained according to the estimated permanent magnet flux linkage. At last, the back electromotive force (BEMF) is measured on the experimental motor, and the flux linkage and PM temperature of the experimental motor are deduced according to the BEMF. Compared with the experimental results, the estimated PM temperature is very close to the actual test value, and the error is less than 5%, which verifies that the proposed method is suitable for the estimation of PM temperature.


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