Extended Park Model for Torque Ripples Minimization of a Permanent-Magnet Synchronous Machine

2017 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Yazid Aït-Gougam ◽  
Rachid Ibtiouen ◽  
Omar Touhami ◽  
J.-P. Louis
2011 ◽  
Vol 301-303 ◽  
pp. 1676-1681
Author(s):  
Zhao Huang ◽  
Han Xiang Cheng

Permanent magnet synchronous machines (PMSM) are appealing candidates for many high-performance applications such as robotics, machine tools and other electrical propulsion system because of their attractive characteristics. PMSM have advantages of high power density, high torque-to-inertia ratio, and high electrical efficiency. However, the main disadvantage of PMSM is the torque ripples. Therefore, the study of how to compensate the torque ripples so as to improve the tracking performance of PMSM is very meaningful and necessary. In this paper, we focus on the control of a non-sinusoidal permanent magnet synchronous machine. First, we compare the various methods which to reduce the torque ripple. Then, we built a basic PMSM model. After that the Iterative Learning Control (ILC) algorithm is applied to compensate the torque ripple, and improve the tracking performance of the PMSM. The effectiveness of using ILC method to reduce torque ripple is demonstrated by simulink results.


Author(s):  
DJAMEL DIFI ◽  
KHALED HALBAOUI ◽  
DJAMEL BOUKHETALA

This paper aims to study the hybrid control of a five-phase permanent-magnet synchronous machine improved by the space vector modulation (SVM) technique. The torque ripples and currents will therefore be reduced. This control is based on the theory of hybrid dynamic systems (HDS), its discrete component is the voltage inverter which has a finite number of states controlling the continuous component that represents the machine. The results of the simulation made on MATLAB/Simulink are presented and discussed in order to check the performance of the strategy of the studied control. They show, in particular, the main advantages of this control manifesting the good dynamic of the electromagnetic torque and the robustness against the parametric variations.


2019 ◽  
Vol 102 (1) ◽  
pp. 481-491
Author(s):  
Juan Torres ◽  
Rubén Peña ◽  
Javier Riedemann ◽  
Juan Tapia ◽  
Roberto Moncada ◽  
...  

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