From <italic>MPC</italic>-Based to End-to-End <italic>(E2E)</italic> Learning-Based Control Policy for Grid-Tied <italic>3L-NPC</italic> Transformerless Inverter

From <italic>MPC</italic>-Based to End-to-End <italic>(E2E)</italic> Learning-Based Control Policy for Grid-Tied <italic>3L-NPC</italic> Transformerless Inverter

This paper proposes an end-to-end (<inline-formula> <tex-math notation="LaTeX">$E2E$ </tex-math></inline-formula>) learning-based control policy to directly control a transformerless grid-tied three-level neutral-point-clamped (<italic>3L-NPC</italic>) i...

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Bibliographic Details
Main Authors: Sherif A. Zaid, Ihab S. Mohamed, Abualkasim Bakeer, Lantao Liu, Hani Albalawi, Mohamed E. Tawfiq, Ahmed M. Kassem
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
End-to-end (E2E) control policy
artificial neural network (ANN)
time-delay neural network (TDNN)
neutral-point-clamped (NPC) inverter
model predictive control (MPC)
photovoltaic (PV) applications
Online Access:https://ieeexplore.ieee.org/document/9771222/

Internet

https://ieeexplore.ieee.org/document/9771222/

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