Low Complexity MPC-DSVPWM for Current Control of PMSM Using Neural Network Approach

Low Complexity MPC-DSVPWM for Current Control of PMSM Using Neural Network Approach

Multilayer neural network-based model predictive control (MLNN-MPC) has received a lot of attention in different power electronic applications. However, the computational burden often imposes limitations in low-order DSPs especially if a large number of voltage vectors (VVs) are used. The execution...

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Bibliographic Details
Main Authors: Hasan Ali Gamal Al-Kaf, Kyo-Beum Lee
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Artificial neural network (ANN)
discrete space vector pulse width modulation (DSVPWM)
execution time
model predictive control (MPC)
permanent magnet synchronous motor (PMSM)
Online Access:https://ieeexplore.ieee.org/document/9992004/

Internet

https://ieeexplore.ieee.org/document/9992004/

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