Offset-Free Optimal Control of Cascaded H-Bridge Converters Based on a Kalman Filter Harmonic Compensator

Cascaded H-bridge (CHB) converters are suitable candidates for numerous applications, including electrical drives, static synchronous compensators, and battery energy storage inverters. Optimal control strategies for CHB converters have attracted significant interest in recent decades due to their flexibility in including multiple control objectives and their simple design process. However, the steady-state performance of these control strategies deteriorates if the CHB converter model has parameter mismatches and/or the submodule (SM) capacitor voltage ripples are not measured. This work proposes a Kalman filter (KF) based strategy to eliminate the steady-state error and undesired low-frequency harmonic components in the CHB converter output currents. The proposed KF strategy estimates the instantaneous arm voltage harmonics representing the converter modeling errors and unaccounted disturbances. Then, these estimated voltage harmonics are used to improve the arm current predictions and obtain a compensation term for the steady-state arm voltage references to be used by the optimal control strategy. Experimental results for three different optimal control schemes are provided for a three-phase CHB converter with nine SMs to confirm the effectiveness of the proposed KF strategy.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Power Electronics
Published
2024-10-02
DOI
https://doi.org/10.1109/tpel.2024.3472451
Citations
4
Primary Topic
Advanced DC-DC Converters
Type
article
Field-Weighted Citation Impact
0.83

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Offset-Free Optimal Control of Cascaded H-Bridge Converters Based on a Kalman Filter Harmonic Compensator

Pablo Poblete, Ricardo P. Aguilera, Dylan Dah‐Chuan Lu, Yam P. Siwakoti et al.
4 citations
IEEE Transactions on Power Electronics
Advanced DC-DC Converters
0.83
article

Offset-Free Optimal Control of Cascaded H-Bridge Converters Based on a Kalman Filter Harmonic Compensator

Pablo Poblete, Ricardo P. Aguilera, Dylan Dah‐Chuan Lu, Yam P. Siwakoti, Pablo Acuna, Javier Pereda, Rodrigo H. Cuzmar, Abraham Marquez
article en
4 citations

Abstract

Cascaded H-bridge (CHB) converters are suitable candidates for numerous applications, including electrical drives, static synchronous compensators, and battery energy storage inverters. Optimal control strategies for CHB converters have attracted significant interest in recent decades due to their flexibility in including multiple control objectives and their simple design process. However, the steady-state performance of these control strategies deteriorates if the CHB converter model has parameter mismatches and/or the submodule (SM) capacitor voltage ripples are not measured. This work proposes a Kalman filter (KF) based strategy to eliminate the steady-state error and undesired low-frequency harmonic components in the CHB converter output currents. The proposed KF strategy estimates the instantaneous arm voltage harmonics representing the converter modeling errors and unaccounted disturbances. Then, these estimated voltage harmonics are used to improve the arm current predictions and obtain a compensation term for the steady-state arm voltage references to be used by the optimal control strategy. Experimental results for three different optimal control schemes are provided for a three-phase CHB converter with nine SMs to confirm the effectiveness of the proposed KF strategy.

IEEE Transactions on Power ElectronicsVol. 40(1)
University of Technology Sydney (AU), University of Talca (CL), Pontificia Universidad Católica de Chile (CL), Universidad de Sevilla (ES)
Australian Government, Agencia Nacional de Investigación y Desarrollo, Australian Research Council
Affordable and clean energy
Openalex Percentile: Top 27%
Advanced DC-DC Converters
0.83
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.