scholarly journals The brushless doubly fed reluctance machine and the synchronous reluctance machine-a comparison

2000 ◽  
Vol 36 (4) ◽  
pp. 1103-1110 ◽  
Author(s):  
R.E. Betz ◽  
M.G. Jovanovic
Keyword(s):  
Synchronous Reluctance Machine ◽  
Reluctance Machine ◽  
Doubly Fed

scholarly journals Smart Collaborative Performance-Induced Parameter Identification Algorithms for Synchronous Reluctance Machine Magnetic Model

2021 ◽  
Vol 13 (8) ◽  
pp. 4379
Author(s):  
Linjie Ren ◽  
Guobin Lin ◽  
Yuanzhe Zhao ◽  
Zhiming Liao
Keyword(s):  
Low Cost ◽  
Parameter Extraction ◽  
Synchronous Reluctance Machine ◽  
Fitness Evaluation ◽  
Reluctance Machine ◽  
Candidate Solution ◽  
Collaborative Performance ◽  
Magnetic Model ◽  
Quantitative Results ◽  
Cost Characteristics

In rail transit traction, due to the remarkable energy-saving and low-cost characteristics, synchronous reluctance motors (SynRM) may be a potential substitute for traditional AC motors. However, in the parameter extraction of SynRM nonlinear magnetic model, the accuracy and robustness of the metaheuristic algorithm is restricted by the excessive dependence on fitness evaluation. In this paper, a novel probability-driven smart collaborative performance (SCP) is defined to quantify the comprehensive contribution of candidate solution in current population. With the quantitative results of SCP as feedback in-formation, an algorithm updating mechanism with improved evolutionary quality is established. The allocation of computing resources induced by SCP achieves a good balance between exploration and exploitation. Comprehensive experiment results demonstrate better effectiveness of SCP-induced algorithms to the proposed synchronous reluctance machine magnetic model. Accuracy and robustness of the proposed algorithms are ranked first in the comparison result statistics with other well-known algorithms.

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