Loading…
Model-Free Predictive Control of Five-Level T-Type Nested Neutral Point Clamped Converter
Multilevel converters have been turned into a prominent solution for high-power, medium-voltage applications. However, controlling multilevel converters is a complex task, which is typically implemented through Single-Input Single-Output loops or via finite control set model predictive control (FCS-...
Saved in:
Published in: | IEEE journal of emerging and selected topics in power electronics 2025-01, p.1-1 |
---|---|
Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | Multilevel converters have been turned into a prominent solution for high-power, medium-voltage applications. However, controlling multilevel converters is a complex task, which is typically implemented through Single-Input Single-Output loops or via finite control set model predictive control (FCS-PC). Moreover, among the latest proposed multilevel converters, the five-level T-type nested neutral point clamped (5L-T-NNPC) stands out due to its reduced hardware requirements and wide voltage range applications. Although FCS-MPC has good performance with a fast dynamic response for operating this converter, this control strategy requires a detailed model of the converter, where parameter or model mismatch, will degrade its performance. To improve the operation, this paper proposes a novel model-free predictive control (MF-PC) which does not require a detailed model of the converter to operate, and it is robust under parameter mismatch. Indeed it only requires the operation data of the converter to identify the parameters of a general auto-regressive with exogenous input (ARX) model via the least squares algorithm. Experimental and simulation results validate the better performance of the proposed MF-PC over the conventional FCS-MPC for a 5L-T-NNPC converter. |
---|---|
ISSN: | 2168-6777 2168-6785 |
DOI: | 10.1109/JESTPE.2025.3525803 |