A Novel Continuous Control Set Model Predictive Control of Three-Phase Single-Stage Differential Boost Inverter

The three-phase differential boost inverter (DBI) is a specialized category of power inverters which provides singlestage boosting functionality, characterized by high efficiency, costeffectiveness, and compact size. However, it is complicated to control due to its non-linearity and non-minimum phase characteristics. This paper presents the modeling method of three phase DBI. Then, a novel continuous control set model predictive control (CCS-MPC) method of the three-phase DBI is proposed. Based on the established predictive models of circuits currents and voltages, the appropriate duty cycle for the next sampling period can be predicted. Complex parameter design is avoided compared to PI-based control. Simulation experiments are conducted to verify the efficacy of the proposed CCS-MPC for the three-phase DBI.

Authors

Institutions

Publication Details

Published
2025-05-20
DOI
https://doi.org/10.1109/cpe-powereng63314.2025.11027215
Primary Topic
Catalytic Processes in Materials Science
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

A Novel Continuous Control Set Model Predictive Control of Three-Phase Single-Stage Differential Boost Inverter

Patrick Wheeler, Marco Rivera, Yushan Liu, Xiangkai Feng et al.
Catalytic Processes in Materials Science
article

A Novel Continuous Control Set Model Predictive Control of Three-Phase Single-Stage Differential Boost Inverter

Patrick Wheeler, Marco Rivera, Yushan Liu, Xiangkai Feng, Baoming Ge, Yupeng Liu
article en

Abstract

The three-phase differential boost inverter (DBI) is a specialized category of power inverters which provides singlestage boosting functionality, characterized by high efficiency, costeffectiveness, and compact size. However, it is complicated to control due to its non-linearity and non-minimum phase characteristics. This paper presents the modeling method of three phase DBI. Then, a novel continuous control set model predictive control (CCS-MPC) method of the three-phase DBI is proposed. Based on the established predictive models of circuits currents and voltages, the appropriate duty cycle for the next sampling period can be predicted. Complex parameter design is avoided compared to PI-based control. Simulation experiments are conducted to verify the efficacy of the proposed CCS-MPC for the three-phase DBI.

Ford Motor Company (United States) (US), University of Nottingham (GB), Beihang University (CN)
British Council, National Natural Science Foundation of China, Chunhui Project Foundation of the Education Department of China
Affordable and clean energy
Openalex Percentile: Top 90%
Catalytic Processes in Materials Science
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.

A Novel Continuous Control Set Model Predictive Control of Three-Phase Single-Stage Differential Boost Inverter — Patrick Wheeler, Marco Rivera, et al. · (2025) | TGRS Research Map | TGRS