scholarly journals Performance evaluation of multi-phase permanent magnet synchronous motor based on different winding configurations and magnetization patterns

Author(s):  
M. Rezal ◽  
D. Ishak

Permanent magnet synchronous motor (PMSM) is the most reliable and efficient machine that widely used in robotics and automation, industrial applications, electric vehicles, home appliances, aircraft and aerospace technology due to its high efficiency, good dynamic performance and high torque density. In this paper, the influence of various types of winding configuration and different magnetization patterns in the performance of a five-phase PMSM is investigated. Three types of magnetization patterns such as radial magnetization (RM), parallel magnetization (PaM), and multi-segmented Halbach magnetization (SH) are applied to the five-phase 10-slot/4-pole PMSM during open-circuit and on-load conditions. A 2D finite element method (FEM) is intensively used in this investigation to model and predict the electromagnetic characteristics and performance of the PMSM. The detailed results from the finite-element analysis (FEA) on the cogging torque, induced back-emf, airgap flux density and electromagnetic torque are analysed. The induced back-emf of the machine is computed further into its harmonic distortions. Additionally, the skewing method for minimization of cogging torque of PMSM is proposed. From the results, it is observed that the five-phase, 10-slot/4-pole PMSM with double layer distributed winding and parallel magnetization gives the best machine performance.

2019 ◽  
Vol 38 (2) ◽  
pp. 352-362 ◽  
Author(s):  
Zheng Li ◽  
Qiushuo Chen ◽  
Feihong Yue ◽  
Qunjing Wang

The spherical shell rotor is contained in the multi-degree-of-freedom permanent magnet synchronous motor. When the rated speed of motor is close to the critical speed, the motor will generate multiple resonances, which will affect the normal operation of the motor. The motor rotor must pass through the first-order critical speed and work at the safety range between 1-order and 2-order critical speed. According to the dynamic characteristics of rotor system, a mathematical model of rotor under free state is established, and the result between finite element and analytical methods is comparison. The influence of rotor gyroscope effect on critical speed is analyzed, and the finite element analysis of whether the rigidity of rotor material affects the critical speed is also carried out. The relationship between bending modal and deformation displacement is tested under different rigidity conditions and the stator deformation caused by rotor rotation is analyzed when the stator is filled with different liquids. The relationship between the rotational speed and the amplitude of the spherical rotor is verified by experiments, and the corresponding rules are summarized. The results of the simulation and analysis are referenced by the optimal design of motor.


Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2240
Author(s):  
Sajjad Ahmadi ◽  
Thierry Lubin ◽  
Abolfazl Vahedi ◽  
Nasser Taghavi

This paper presents a multi-objective optimal rotor design for an interior permanent magnet synchronous motor (IPMSM) based on finite element analysis. Due to the importance of torque characteristic in electromagnetic design of IPMSMs, the main efforts of this study are focused on finding a proper trade-off for its torque profile challenges. In this regard, in order to attain high average torque and low torque ripple, the influence of several key factors, such as the permanent magnet (PM) arrangements, PM positions and PM sizes, are examined. Subsequently, according to the outcomes of the performed sensitivity analysis, the appropriate variation interval of the parameters as well as their initial values is determined. Employing such a deterministic optimization algorithm, which does not need large sample points, minimizes the finite element computational cost and leads to accelerate the convergence process. The two-dimensional finite element model (FEM) of an IPMSM is used to perform a sensitivity analysis and establish a multi-objective FEM-based optimization.


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