Hybrid Decision Based on DNN and DTC for Model Predictive Torque Control of PMSM

Hybrid Decision Based on DNN and DTC for Model Predictive Torque Control of PMSM

To address the issue of poor real-time performance caused by the heavy computational burden of the finite control set model predictive torque control (MPTC) of a permanent magnet synchronous motor (PMSM), a data-driven control method using a deep neural network (DNN) is proposed in this paper. The D...

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Bibliographic Details
Main Authors: Yao-Hua Li, Ting-Xu Wu, Deng-Wang Zhai, Cheng-Hui Zhao, Yi-Fan Zhou, Yu-Gui Qin, Jin-Shi Su, Hui Qin
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Symmetry
Subjects:
model predictive control
data-driven control
deep neural network
hybrid decision
Online Access:https://www.mdpi.com/2073-8994/14/4/693

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https://www.mdpi.com/2073-8994/14/4/693

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