A Novel Capacitance Estimation Method of Modular Multilevel Converters for Motor Drives Using Recurrent Neural Networks with Long Short-Term Memory

A Novel Capacitance Estimation Method of Modular Multilevel Converters for Motor Drives Using Recurrent Neural Networks with Long Short-Term Memory

Accurate estimation of submodule capacitance in modular multilevel converters (MMCs) is essential for optimal performance and reliability, particularly in motor drive applications such as permanent magnet synchronous motor (PMSM) drives. This paper presents a novel approach utilizing recurrent neura...

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Bibliographic Details
Main Authors: Mehdi Syed Musadiq, Dong-Myung Lee
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Energies
Subjects:
capacitance estimation
control optimization
long short-term memory
LSTM
modular multilevel converter
MMC
Online Access:https://www.mdpi.com/1996-1073/17/22/5577
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