An Improved Triple-Vector Modulated Model Predictive Control Method for Permanent Magnet Synchronous Motor
编号:92 访问权限:公开 更新:2023-06-13 18:37:03 浏览:421次 张贴报告

报告开始:2023年06月19日 09:00(Asia/Shanghai)

报告时间:0min

所在会场:[E] Poster Session [E2] Poster Session 2

摘要
Model predictive control (MPC) has been widely used in motor control, and modulated model predictive control (MMPC) has been derived. However, in the conventional MMPC, the action time of the basic voltage vector is calculated by the inverse ratio of the cost function, which lacks a strictly theoretical basis. To enhance the theoretical basis of the MMPC, an improved triple-vector MMPC is proposed. First, two adjacent dual-vectors are synthesized by the conventional method. Then, the Helen's formula and geometric relationship between the two dual-vectors are used to scale and synthesize the triple-vectors. Finally, the simulation verifies the effectiveness of the proposed method.
关键词
modulated model predictive control;cost function;triple-vector;theoretical basis;Helen
报告人
Leilei Guo
Associate professor College of Electrical and Information Engineering, Zhengzhou University of Light Industry

Pu Zhong

Han Xiao
Zhengzhou University of Light Industry

Xu Wei

Liu Dong

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重要日期
  • 会议日期

    06月16日

    2023

    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
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