Design and modeling of a doubly salient variable reluctance machine

Author(s):  
Amar Bentounsi ◽  
R. Rebbah ◽  
H. Djeghloud ◽  
S. Belakehal ◽  
H. Benalla ◽  
...  
Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 228
Author(s):  
Yao Zhao ◽  
Chuanyang Lu ◽  
Dongdong Li ◽  
Xing Zhao ◽  
Fan Yang

The Electrically Excited Doubly Salient Variable Reluctance Machine (EEDSVRM) is a new type of brushless machine designed according to the principle of air gap reluctance change. There is neither permanent magnet steel nor excitation winding on the rotor. The rotor is made of silicon steel sheets, thus the structure of the variable reluctance machine is very simple. There are many optimization methods for this type of machine optimal design, such as novel machine topology optimization, finite element simulation-based optimization, mathematical analysis-based optimization, intelligent algorithm-based optimization, and multiple fusion-based optimization. Firstly, this article introduces the basic structure and working principle of the EEDSVRM and analyzes both its common regularity and individual difference. Then, the different optimization design methods of EEDSVRM are reviewed, the advantages and disadvantages of the different optimization methods are summarized, and the research interests of the optimization design of variable reluctance machines in the future are prospected.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 104921-104932 ◽  
Author(s):  
Qiang Li ◽  
Wei Sun ◽  
Le Sun ◽  
Jian Yu ◽  
Da Xu ◽  
...  

2019 ◽  
Vol 63 (3) ◽  
pp. 202-212 ◽  
Author(s):  
Mahmoud Hamouda ◽  
László Számel

High performance control and analysis of switched reluctance machines (SRMs) require accurate modeling of their magnetic characteristics. However, the doubly salient structure and deep magnetic saturation make it very complicated to accurately model SRMs. This paper presents a high fidelity model development for SRMs. The model is developed based on the experimental measurement of flux-linkage and torque characteristics. The introduced measurement noises / errors are investigated carefully. Then several post-processes are achieved to reduce these noises. The measurement accuracy is verified by three methods: finite element method (FEM), search coil comparison, and LCR meter. The measured data are employed after proper rearrangement to build a dynamic MATLAB simulation model for the tested 8/6 machine. The model accuracy and dependability is achieved experimentally.


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