Asynchronous Particle Swarm Optimization-Genetic Algorithm (APSO-GA) Based Selective Harmonic Elimination in a Cascaded H-Bridge Multilevel Inverter

In this article, a hybrid asynchronous particle swarm optimization-genetic algorithm (APSO-GA) is proposed for the removal of unwanted lower order harmonics in the cascaded H-bridge multilevel inverter (MLI). The APSO-GA is applicable to all levels of MLI. In the proposed method, ring topology based...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on industrial electronics (1982) Jg. 69; H. 2; S. 1477 - 1487
Hauptverfasser:	Memon, Mudasir Ahmed, Siddique, Marif Daula, Mekhilef, Saad, Mubin, Marizan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.02.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Convergence Evolutionary algorithms Evolutionary computation Genetic algorithm (GA) Genetic algorithms Harmonic analysis Harmonics Inverters Machine learning multilevel inverter (MLI) Multilevel inverters Optimization Particle swarm optimization particle swarm optimization (PSO) Rings (mathematics) selective harmonic elimination pulsewidth modulation (SHEPWM) Switches Switching Topology
ISSN:	0278-0046, 1557-9948
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!