Robust Design and Controllability Analysis for Voltage Mode Controlled Multiport Converter With Structured Uncertainties

ABSTRACT This paper presents a robust voltage‐mode controlled (VMC) strategy and controllability analysis of a time‐multiplexed dc‐dc multiport (TMDCM) converter for non‐minimum phase (NMP) conditions. The instability mitigation is presented using a systematically designed PI controller using the stability boundary locus (SBL) method and Kharitonov's theorem, incorporating structured uncertainties and external disturbances. A robust stability region is defined within the K p and K i plane, and a section with optimal gain values to meet the desired performance criteria. The proposed approach uses voltage feedback from both the output ports of the TMDCM converter. Additionally, it inherently accounts for input and load variations, enhancing voltage regulation performance. A robust single‐loop voltage‐mode controller with structured uncertainties is analytically designed for a time‐multiplexed switched‐boost converter exhibiting a right‐half‐plane (RHP) zero. The switched‐boost mechanism, combined with time‐multiplexed control, enables a multiport converter output that provides bidirectional functionality for charging and discharging management of the battery energy storage system, along with other load output ports. The laboratory prototype is developed, and the real‐time performance of the converter is demonstrated for effective voltage regulation under varying source and load conditions, confirming controller robustness, non‐fragility, and improved disturbance rejection.

Authors

Institutions

Publication Details

Journal
International Journal of Circuit Theory and Applications
Published
2025-12-17
DOI
https://doi.org/10.1002/cta.70261
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robust Design and Controllability Analysis for Voltage Mode Controlled Multiport Converter With Structured Uncertainties

Mayank Kumar, Md. Modassir Masoom, Narendra Kumar
International Journal of Circuit Theory and Applications
Microgrid Control and Optimization
article

Robust Design and Controllability Analysis for Voltage Mode Controlled Multiport Converter With Structured Uncertainties

Mayank Kumar, Md. Modassir Masoom, Narendra Kumar
article en

Abstract

ABSTRACT This paper presents a robust voltage‐mode controlled (VMC) strategy and controllability analysis of a time‐multiplexed dc‐dc multiport (TMDCM) converter for non‐minimum phase (NMP) conditions. The instability mitigation is presented using a systematically designed PI controller using the stability boundary locus (SBL) method and Kharitonov's theorem, incorporating structured uncertainties and external disturbances. A robust stability region is defined within the K p and K i plane, and a section with optimal gain values to meet the desired performance criteria. The proposed approach uses voltage feedback from both the output ports of the TMDCM converter. Additionally, it inherently accounts for input and load variations, enhancing voltage regulation performance. A robust single‐loop voltage‐mode controller with structured uncertainties is analytically designed for a time‐multiplexed switched‐boost converter exhibiting a right‐half‐plane (RHP) zero. The switched‐boost mechanism, combined with time‐multiplexed control, enables a multiport converter output that provides bidirectional functionality for charging and discharging management of the battery energy storage system, along with other load output ports. The laboratory prototype is developed, and the real‐time performance of the converter is demonstrated for effective voltage regulation under varying source and load conditions, confirming controller robustness, non‐fragility, and improved disturbance rejection.

International Journal of Circuit Theory and Applications
Delhi Technological University (IN)
Openalex Percentile: Top 50%
Microgrid Control and Optimization
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.