Real Time Selective Harmonic Control—PWM Based on Artificial Neural Networks-Reference-Cited by-同舟云学术

Real Time Selective Harmonic Control—PWM Based on Artificial Neural Networks

Published:2024-01 Issue:1 Volume:39 Page:768-783
ISSN:0885-8993
Container-title:IEEE Transactions on Power Electronics
language:
Short-container-title:IEEE Trans. Power Electron.

Author:

Ibanez-Hidalgo Irati¹^ORCID,Sanchez-Ruiz Alain²^ORCID,Perez-Basante Angel¹^ORCID,Zubizarreta Asier³^ORCID,Ceballos Salvador¹^ORCID,Gil-Lopez Sergio¹^ORCID,Aguilera Ricardo P.⁴^ORCID

Affiliation:

1. Tecnalia, Basque Research and Technology Alliance (BRTA), Derio, Spain

2. Department of Electronic Technology, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain

3. Department of Automatic Control and Systems Engineering, University of the Basque Country (UPV/EHU), Bilbao, Spain

4. School of Electrical and Data Engineering, University of Technology Sydney, Broadway, NSW, Australia

Funder

ELKARTEK

BIKAINTEK

Eusko Jaurlaritza

Australian Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/63/10339150/10273431.pdf?arnumber=10273431

Reference34 articles.

1. Real-Time Switching Angle Computation for Selective Harmonic Control

2. Design and Real-Time Implementation of SHEPWM in Single-Phase Inverter Using Generalized Hopfield Neural Network

3. Cascaded- and Modular-Multilevel Converter Laboratory Test System Options: A Review

4. Robust method for optimal PWM harmonic elimination based on the Chebyshev functions

5. Solving nonlinear equations of harmonic elimination PWM in power control

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