报告详情
Low-Complexity Three-Vector Based Model Predictive Flux Control for Induction Motors
编号：44
访问权限：私有
更新：2023-06-14 10:47:54
浏览：366次
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摘要
In this paper, a low-complexity model predictive flux control (MPFC) with a fixed switching frequency is proposed for induction motors (IMs) fed by a two-level voltage source inverter. The appropriate active voltage vectors (AVVs) are determined according to estimated torque derivation. The generalized discrete space vector is used for improving the controller performance, and the computation time is mitigated by derivation of the extremum of the flux control objective. To ensure the controller switching frequency is fixed, the synthesized control voltage vector is implemented using a symmetrical three-vector method. The proposed controller is evaluated at 5 kHz sampling frequency and the achieved results validate the effectiveness of the strategy for improving the steady-state performance while maintaining a constant switching frequency around 5 kHz over a wide range of operating conditions.
关键词
Model predictive flux control (MPFC), active voltage vector (AVV), induction motors (IMs), steady-state performance, switching frequency (SF).
报告人
Huiqing Song
Tao Jin
Fuzhou University Ipoum-Ngome Paul Gistain
Jinquan Tang
Mon-Nzongo Daniel Legrand
Jose Rodriguez
Universidad San Sebastian全部评论
重要日期
-
会议日期
06月16日
2023
至06月19日
2023
-
06月15日 2023
报告提交截止日期
-
07月02日 2023
注册截止日期
主办单位
Huazhong University of Science and Technology, China
(IEEE PELS)
IEEE
(IEEE PELS)
IEEE
联系方式
- Organizing Committee
- pr******@hust.edu.cn
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