Torque ripple control in faulty surface permanent magnet synchronous motor

2016 ◽  
Author(s):  
Elmehdi Bahri ◽  
Driss Belkhayat ◽  
Remus Pusca ◽  
Raphael Romary
Keyword(s):  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Torque Ripple ◽  
Synchronous Motor ◽  
Ripple Control

The Implementation of Permanent Magnet Synchronous Motor Direct Torque Control

2013 ◽  
Vol 712-715 ◽  
pp. 2757-2760
Author(s):  
Jun Li Zhang ◽  
Yu Ren Li ◽  
Long Fei Fu ◽  
Fan Gao
Keyword(s):  
Coordinate System ◽  
Permanent Magnet ◽  
Control Method ◽  
Block Diagram ◽  
Permanent Magnet Synchronous Motor ◽  
Direct Torque Control ◽  
Torque Ripple ◽  
Synchronous Motor ◽  
Torque Control ◽  
Two Phase

In order to deeply understand the characteristics of the permanent magnet synchronous motor direct torque control method, its mathematical models were established in the two-phase stationary coordinate system, the two-phase synchronous rotating coordinate system, and x-y stator synchronous rotating coordinate system. The implementation process of direct torque control method in varied stator winding connection was analyzed in detail. In order to improve the speed and torque performance of the permanent magnet synchronous motor, the direct torque control block diagram and the space voltage vector selection table were given. Finally, the summary and outlook of reducing torque ripple in the permanent magnet synchronous motor direct torque control methods.

scholarly journals Design and Performance Analysis of Permanent Magnet Synchronous Motor for Electric Vehicles Application

2021 ◽  
Vol 39 (3A) ◽  
pp. 394-406
Author(s):  
Mustafa Y. Bdewi ◽  
Ahmed M. Mohammed ◽  
Mohammed M. Ezzaldean
Keyword(s):  
Permanent Magnet ◽  
Electric Vehicles ◽  
Permanent Magnet Synchronous Motor ◽  
Optimization Procedure ◽  
Torque Ripple ◽  
Synchronous Motor ◽  
The Other ◽  
Torque Density ◽  
Finite Element Software ◽  
Machine Performance

In electrical vehicle applications, power density plays a significant role in improving machine performance. The main objective of this paper is to design and analyze the performance of in-wheel outer rotor permanent magnet synchronous motor (PMSM) used in electric vehicles based on a previously designed model. The key challenge is to achieve the best machine performance regarding the highest torque density and lowest torque ripple. This work also aims at reducing the machine cost by using permanent magnet (PM) material, which has less energy density than the PM used in the previously designed model. An optimization procedure is carried out to improve the generated torque, keeping the same aspects of size and volume of the selected machine. On the other hand, the other specifications of the machine are taken into consideration and are maintained within the acceptable level. According to their major impact on the machine’s performance, the most important parameters of machine designing is selected during the optimization procedure. This proposed machine is implemented and tested using the finite element software package “MagNet 7.4.1” with Visual Basic 16.0 programming language and MATLAB 9.5 Simulink for post-processing.

scholarly journals Feedforward Neural Network-DTC of Multi-phase Permanent Magnet Synchronous Motor Using Five-Phase Neural Space Vector Pulse Width Modulation Strategy

2021 ◽  
Vol 54 (2) ◽  
pp. 345-354
Author(s):  
Fayçal Mehedi ◽  
Habib Benbouhenni ◽  
Lazhari Nezli ◽  
Djamel Boudana
Keyword(s):  
Permanent Magnet ◽  
Pulse Width ◽  
Pulse Width Modulation ◽  
Permanent Magnet Synchronous Motor ◽  
Direct Torque Control ◽  
Torque Ripple ◽  
Synchronous Motor ◽  
Torque Control ◽  
Space Vector ◽  
Stator Current

In this work, the direct torque control (DTC) is applied to the five-phase permanent magnet synchronous motor (FP-PMSM). The DTC method based on classical space vector pulse width modulation (SVPWM) is a common solution used to overcome traditional problems; such as stator flux ripple, electromagnetic torque ripple and gives more total harmonic distortion (THD) of the stator current. The actual paper is based on improving the performance of DTC-SVPWM by using the feedforward neural networks (FNNs) instead of the proportional-integral (PI) regulators and hysteresis comparators (HCs) of the conventional SVPWM strategy. This algorithm can solve the traditional PI regulators and HCs problems which are represented in responses dynamic and reduce the torque ripple, flux ripple, and the THD of stator current of FP-PMSM drives. The proposed strategy was tested in different tests with simulation using Matlab software.

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