An extensive critique on Intelligent-based control techniques for the performance improvement in multilevel inverters | Zendy

N Subramanian | Zendy; Albert Alexander Stonier | Zendy

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An extensive critique on Intelligent-based control techniques for the performance improvement in multilevel inverters

Author(s) -

N Subramanian,

Albert Alexander Stonier

Publication year - 2025

Publication title -

ieee access

Language(s) - English

Resource type - Magazines

SCImago Journal Rank - 0.587

H-Index - 127

eISSN - 2169-3536

DOI - 10.1109/access.2025.3576380

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

Multilevel inverters have become an essential technology in modern power electronics, offering benefits like reduced harmonic distortion with lower electromagnetic interference and enhanced efficiency applicable to electric vehicles, industrial drives, and renewable energy systems. Various considerations, such as fault tolerance, harmonic mitigation, and switching techniques, complicate the control of multilevel inverters. Soft computing approaches like fuzzy logic, artificial neural networks, and bio-inspired optimization techniques will successfully resolve these issues. Recent developments have highlighted the significance of intelligent computational approaches in improving the inverter’s efficiency. This review will delve into the application of soft computing techniques in various sectors, thereby enabling researchers and industrial professionals to know the current trends adopted in multilevel inverters.

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