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  1. National Taiwan Ocean University Research Hub
  2. 電機資訊學院
  3. 電機工程學系
請用此 Handle URI 來引用此文件: http://scholars.ntou.edu.tw/handle/123456789/18143
標題: Model-Free Predictive Current Control for SynRM Drives Based on Optimized Modulation of Triple-Voltage-Vector
作者: Agustin, Crestian Almazan
Yu, Jen-Te
Cheng, Yu-Shan 
Lin, Cheng-Kai 
Huang, Hao-Qun
Lai, Yen-Shin
關鍵字: Predictive models;Switches;Optimized production technology;Modulation;Current control;Stator windings;Cost function;Model predictive current control;model-free predictive current control;optimal duty ratio modulation;synchron
公開日期: 1-一月-2021
出版社: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
卷: 9
起(迄)頁: 130472-130483
來源出版物: IEEE ACCESS
摘要: 
A model-free predictive current control for synchronous reluctance motor drives based on triple-voltage-vector with optimized duty ratio modulation is presented in this paper. The proposed scheme introduces an effective and low complexity strategy of selecting candidate voltage vectors to largely reduce computational loadings. First, the basic voltage vectors are organized to apportion six regions, representing six composite switching modes. Each region comprises two active voltage vectors and a zero voltage vector modulated by distinct duty ratios. The scheme starts from the selection of an initial basic voltage vector corresponding to a predefined cost function. The second candidate voltage vector then follows, which is chosen from the region adjacent to the initial one. The third vector is a default zero voltage vector. As a result, voltage vectors outside the selected regions are excluded from the process. Moreover, the adjustable feature makes the optimization of duty ratios adaptive. Finally, the proposed method is experimentally put to tests under various operating conditions utilizing the synchronous reluctance motor drives. Experimental results are presented to demonstrate the effectiveness of the proposal.
URI: http://scholars.ntou.edu.tw/handle/123456789/18143
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2021.3113568
顯示於:電機工程學系

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