标题:Correlation analysis and validation on model predictive control method and SVPWM control method of asynchronous motor
作者:Lv, Changzhi ;Chen, Xiaolin ;Yongkao, Dong ;Geng, Anran ;Wang, Haixia
作者机构:[Lv, Changzhi ;Chen, Xiaolin ;Yongkao, Dong ;Geng, Anran ;Wang, Haixia ] College of Electrical Engineering and Automation, Shandong University of Scie 更多
会议名称:2017 Chinese Automation Congress, CAC 2017
会议日期:October 20, 2017 - October 22, 2017
来源:Proceedings - 2017 Chinese Automation Congress, CAC 2017
出版年:2017
卷:2017-January
页码:2673-2677
DOI:10.1109/CAC.2017.8243228
摘要:Conventional model-predictive control (MPC) achieves good steady-state performance and quick dynamic response. However, a lot of calculations are needed when deciding the best voltage and objective function selected process needs time-consuming tuning work. To solve these problems. In this paper, the objective function of predictive control is analyzed for asynchronous AC motor. By means of mathematical derivation, the predictive control is consistent with SVPWM is proved. Under certain conditions, the SVPWM method obtains the next moment of action vector is the optimal vector of predictive control. Redundant rolling model for optimization is omitted and three-vector synthesis is investigated. It is theoretically proved that predictive control does not require repeated rolling optimization.
© 2017 IEEE.
收录类别:EI
资源类型:会议论文
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