Model Predictive Voltage Control for Linear Induction Machine Without Weighting Factor
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报告开始:2021年07月02日 08:30(Asia/Shanghai)

报告时间:20min

所在会场:[S3] Concurrent Session 3 [S3-1] Oral Session 3 & 6

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摘要
The conventional model predictive thrust control strategy for linear induction machines (LIMs) needs to determine proper weighting factors, and the tuning procedures are tedious by enumerating multiple try cases. In order to solve the aforementioned problems, a finite-set model predictive voltage control (FS-MPVC) is proposed in this work. This new method can eliminate the use of the weighting factor from the cost function and reduce calculation burden. Based on the deadbeat concept, the reference voltage vector is predicted, which can be used to construct a cost function. Whole comparison between the conventional finite set model predictive thrust control (FS-MPTC) and the proposed FS-MPVC has been made by comprehensive simulation and analysis. The results have demonstrated that, proposed FS-MPVC, can get quicker tracing speed and lower thrust ripples in response to those of the FS-MPTC.
关键词
Model Predictive Voltage Control, Linear Machines, Weighting factor less
报告人
Samir Hamad
Huazhong University of Science and Technology

- (31 December 2010 – 7 April 2016) Demonstrator, Department of process control Technology, Faculty of Technology and Education, Beni-Suef University, Beni-Suef, Egypt.
- (April 2016 - Currently) Assistant Lecturer, Department of process control Technology, Faculty of Technology and Education, Beni-Suef University, Beni-Suef, Egypt.
- Currently, working toward the Ph.D. degree with the State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan, China.
- Research interest is in the fields of power electronic converters, electrical machine control and predictive control.

稿件作者
Samir Hamad Huazhong University of Science and Technology
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重要日期
  • 会议日期

    07月01日

    2021

    07月04日

    2021

  • 07月03日 2021

    报告提交截止日期

  • 11月03日 2021

    注册截止日期

主办单位
Huazhong University of Science and Technology, China
协办单位
University of Sydney, Australia
Southwest Jiaotong University, China
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