A Lyapunov-Based Model Predictive Control Design with Reduced Sensors for a PUC7 Rectifier

Hamza Makhamreh; Mohamed Trabelsi; Osman Kükrer; Haitham Abu-Rub

doi:10.1109/TIE.2020.2969122

A Lyapunov-Based Model Predictive Control Design with Reduced Sensors for a PUC7 Rectifier

Hamza Makhamreh^*, Mohamed Trabelsi, Osman Kükrer, Haitham Abu-Rub

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

38 Citations (Scopus)

Abstract

This article proposes a Lyapunov-based model predictive control (MPC) design for a dual output multilevel rectifier. The investigated topology, a seven-level packed U-cell (PUC7) converter, is selected based on its high reliability, compactness, and low cost. The proposed controller has the following advantages over the conventional MPC controllers: First, no gain tuning is required; second, easy implementation; and third, reduced number of sensors (the load currents are estimated using the mathematical model of the PUC7 rectifier). Simulation and experimental results are provided to show the high dynamic performance and effectiveness of the Lyapunov-based MPC controller in tracking the output voltage references under grid change and parameters mismatch conditions.

Original language	English
Article number	8974603
Pages (from-to)	1139-1147
Number of pages	9
Journal	IEEE Transactions on Industrial Electronics
Volume	68
Issue number	2
DOIs	https://doi.org/10.1109/TIE.2020.2969122
Publication status	Published - Feb 2021
Externally published	Yes

Keywords

Lyapunov function
model predictive control (MPC)
multilevel rectifier
packed U-Cell (PUC) converter

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10.1109/TIE.2020.2969122

Cite this

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title = "A Lyapunov-Based Model Predictive Control Design with Reduced Sensors for a PUC7 Rectifier",

abstract = "This article proposes a Lyapunov-based model predictive control (MPC) design for a dual output multilevel rectifier. The investigated topology, a seven-level packed U-cell (PUC7) converter, is selected based on its high reliability, compactness, and low cost. The proposed controller has the following advantages over the conventional MPC controllers: First, no gain tuning is required; second, easy implementation; and third, reduced number of sensors (the load currents are estimated using the mathematical model of the PUC7 rectifier). Simulation and experimental results are provided to show the high dynamic performance and effectiveness of the Lyapunov-based MPC controller in tracking the output voltage references under grid change and parameters mismatch conditions.",

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author = "Hamza Makhamreh and Mohamed Trabelsi and Osman K{\"u}krer and Haitham Abu-Rub",

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AU - Kükrer, Osman

AU - Abu-Rub, Haitham

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AB - This article proposes a Lyapunov-based model predictive control (MPC) design for a dual output multilevel rectifier. The investigated topology, a seven-level packed U-cell (PUC7) converter, is selected based on its high reliability, compactness, and low cost. The proposed controller has the following advantages over the conventional MPC controllers: First, no gain tuning is required; second, easy implementation; and third, reduced number of sensors (the load currents are estimated using the mathematical model of the PUC7 rectifier). Simulation and experimental results are provided to show the high dynamic performance and effectiveness of the Lyapunov-based MPC controller in tracking the output voltage references under grid change and parameters mismatch conditions.

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A Lyapunov-Based Model Predictive Control Design with Reduced Sensors for a PUC7 Rectifier

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Keywords

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