Model Predictive Control of Three-Phase Single-Stage Differential Boost Inverter

The three-phase differential boost inverter is a special type of power inverter that offers single-stage boosting capability, combining high efficiency, low cost and compact size. However, it is complicated to control due to its non-linearity. Conventional open-loop control and dual-loop proportional-integral (PI) control is realized through the pulse width modulation (PWM). This paper reviews the basic principles and conventional control methods of the three-phase differential boost inverter. Then, a model predictive control (MPC) method of the three-phase DBI is proposed. Based on the established discrete models of circuits currents and voltages, the optimal switching state can be selected relying on a predefined cost function. Simulation studies are carried out to verify effectiveness of the proposed MPC of three-phase DBI.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10905113
Citations
4
Primary Topic
Catalytic Processes in Materials Science
Type
article
Field-Weighted Citation Impact
0.47

Funders

Controls
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article

Model Predictive Control of Three-Phase Single-Stage Differential Boost Inverter

Patrick Wheeler, Marco Rivera, Yushan Liu, Xiangkai Feng et al.
4 citations
Catalytic Processes in Materials Science
0.47
article

Model Predictive Control of Three-Phase Single-Stage Differential Boost Inverter

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

Abstract

The three-phase differential boost inverter is a special type of power inverter that offers single-stage boosting capability, combining high efficiency, low cost and compact size. However, it is complicated to control due to its non-linearity. Conventional open-loop control and dual-loop proportional-integral (PI) control is realized through the pulse width modulation (PWM). This paper reviews the basic principles and conventional control methods of the three-phase differential boost inverter. Then, a model predictive control (MPC) method of the three-phase DBI is proposed. Based on the established discrete models of circuits currents and voltages, the optimal switching state can be selected relying on a predefined cost function. Simulation studies are carried out to verify effectiveness of the proposed MPC of three-phase DBI.

University of Nottingham (GB), Beihang University (CN), Texas A&M University (US)
National Natural Science Foundation of China, Beijing Nova Program
Affordable and clean energy
Openalex Percentile: Top 37%
Catalytic Processes in Materials Science
0.47
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