Concept and Implementation of a Rotor Position Detection Method for Permanent Magnet Synchronous Machines Based on Linear Halls

2020 ◽  
pp. 31-43
Author(s):  
Yuchen Wang ◽  
Kai Liu ◽  
Wei Hua ◽  
Xiaofeng Zhu ◽  
Baoan Wang
Keyword(s):  
Permanent Magnet ◽  
Detection Method ◽  
Synchronous Machines ◽  
Permanent Magnet Synchronous Machines ◽  
Rotor Position ◽  
Position Detection

scholarly journals Torque characteristics of double-stator permanent magnet synchronous machines

2017 ◽  
Vol 66 (4) ◽  
pp. 815-828
Author(s):  
Chukwuemeka Chijioke Awah ◽  
Ogbonnaya Inya Okoro
Keyword(s):  
Comparative Study ◽  
Permanent Magnet ◽  
Magnetic Force ◽  
Fault Tolerant ◽  
Synchronous Machine ◽  
Synchronous Machines ◽  
Permanent Magnet Synchronous Machines ◽  
Rotor Position ◽  
Rotor Pole ◽  
Static Torque

Abstract The torque profile of a double-stator permanent magnet (PM) synchronous machine of 90 mm stator diameter having different rotor pole numbers as well as dual excitation is investigated in this paper. The analysis includes a comparative study of the machine’s torque and power-speed curves, static torque and inductance characteristics, losses and unbalanced magnetic force. The most promising flux-weakening potential is revealed in 13- and 7-rotor pole machines. Moreover, the machines having different rotor/stator (Nr/Ns) pole combinations of the form Nr = Ns ± 1 have balanced and symmetric static torque waveforms variation with the rotor position in contrast to the machines having Nr = Ns ± 2. Further, the inductance results of the analyzed machines reveal that the machines with odd rotor pole numbers have better fault-tolerant capability than their even rotor pole equivalents. A prototype of the developed double-stator machine having a 13-pole rotor is manufactured and tested for verification.

scholarly journals Design Optimization of Multi-Layer Permanent Magnet Synchronous Machines for Electric Vehicle Applications

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7116
Author(s):  
Koua Malick Cisse ◽  
Sami Hlioui ◽  
Mhamed Belhadi ◽  
Guillaume Mermaz Rollet ◽  
Mohamed Gabsi ◽  
...  
Keyword(s):  
Finite Element ◽  
Permanent Magnet ◽  
Synchronous Machines ◽  
Design Stage ◽  
Electrical Machine ◽  
Abc Model ◽  
Permanent Magnet Synchronous Machines ◽  
Flux Linkage ◽  
Rotor Position ◽  
Iron Losses

This paper presents a comparison between two design methodologies applied to permanent magnet synchronous machines for hybrid and electric vehicles (HEVs and EVs). Both methodologies are based on 2D finite element models and coupled to a genetic algorithm to optimize complex non-linear geometries such as multi-layer permanent magnet machines. To reduce the computation duration to evaluate Induced Voltage and Iron Losses for a given electrical machine configuration, a new methodology based on geometrical symmetries and magnetic symmetries are used and is detailed. Two electromagnetic models have been developed and used in the design stage. The first model was the stepped rotor position finite element analysis called abc model which considered the spatial harmonics without any approximation of the waveform of flux linkage inside the stator, and the second model was based on a fixed rotor position called dq model, with the approximation that the waveform of flux linkage inside the stator was sinuous. These two methodologies are applied to the design of a synchronous machine for HEVs and EVs applications. Design results and performances are analyzed, and the advantages and drawbacks of each methodology are presented. It was found that the dq model is at least 5 times faster than the abc model with high precision for both the torque and induce voltage evaluation in most cases. However, it is not the case for the iron losses computation. The iron loss model based on dq model is less accurate than the abc model with a relative deviation from the abc model greater than 70% at high control angle. The choice of the electromagnetic model during the optimization process will therefore influence the geometry and the performances of the obtained electrical machine after the optimization.

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