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Disturbance Observer-Based Robust Model Predictive Control for a Voltage Sensorless Grid-Connected Inverter With an LCL Filter

This paper proposes a disturbance observer-based robust model predictive control (MPC) for a voltage sensorless grid-connected inverter with an inductive-capacitive-inductive (LCL) filter. A full-state estimator and a grid voltage observer are designed to reduce the number of sensors. A lumped distu...

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Main Authors: Nguyen Ngoc Nam, Ngoc-Duc Nguyen, Changwoo Yoon, Young Il Lee
Format: Bài trích
Language:eng
Published: IEEE Access 2021
Subjects:
Sensorless model predictive control (MPC)
disturbance observer
three-phase inverters
Online Access:https://ieeexplore.ieee.org/document/9507463
https://dlib.phenikaa-uni.edu.vn/handle/PNK/2859
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spelling oai:localhost:PNK-28592022-08-17T05:54:48Z Disturbance Observer-Based Robust Model Predictive Control for a Voltage Sensorless Grid-Connected Inverter With an LCL Filter Nguyen Ngoc Nam Ngoc-Duc Nguyen Changwoo Yoon Young Il Lee Sensorless model predictive control (MPC) disturbance observer three-phase inverters This paper proposes a disturbance observer-based robust model predictive control (MPC) for a voltage sensorless grid-connected inverter with an inductive-capacitive-inductive (LCL) filter. A full-state estimator and a grid voltage observer are designed to reduce the number of sensors. A lumped disturbance observer, considering the parameter mismatch along with the grid impedance variation, is also designed to eliminate the steady-state error. A cost function, which consists of the error state and control input, is employed in the MPC design. Based on the Lyapunov stability, the full-state observer, voltage estimation, lumped disturbance observer, and the robust controller gains are obtained by solving an optimization problem based on linear matrix inequality (LMI). A frequency response analysis of the entire system is conducted to verify the reference tracking and disturbance rejection outcomes. As a result, the state and grid voltage observer outcomes converge to the actual values as rapidly as possible. The effectiveness of the proposed control method is demonstrated in comparison with the proportional-integral (PI) approach and with a controller recently proposed in the literature. Simulation and experimental results are presented to verify the effectiveness of the proposed method under LCL parameter uncertainties and grid impedance variations. 2021-09-14T07:14:55Z 2021-09-14T07:14:55Z 2021 Bài trích https://ieeexplore.ieee.org/document/9507463 https://dlib.phenikaa-uni.edu.vn/handle/PNK/2859 10.1109/ACCESS.2021.3102628 eng application/pdf IEEE Access
institution Digital Phenikaa
collection Digital Phenikaa
language eng
topic Sensorless model predictive control (MPC)
disturbance observer
three-phase inverters
spellingShingle Sensorless model predictive control (MPC)
disturbance observer
three-phase inverters
Nguyen Ngoc Nam
Ngoc-Duc Nguyen
Changwoo Yoon
Young Il Lee
Disturbance Observer-Based Robust Model Predictive Control for a Voltage Sensorless Grid-Connected Inverter With an LCL Filter
description This paper proposes a disturbance observer-based robust model predictive control (MPC) for a voltage sensorless grid-connected inverter with an inductive-capacitive-inductive (LCL) filter. A full-state estimator and a grid voltage observer are designed to reduce the number of sensors. A lumped disturbance observer, considering the parameter mismatch along with the grid impedance variation, is also designed to eliminate the steady-state error. A cost function, which consists of the error state and control input, is employed in the MPC design. Based on the Lyapunov stability, the full-state observer, voltage estimation, lumped disturbance observer, and the robust controller gains are obtained by solving an optimization problem based on linear matrix inequality (LMI). A frequency response analysis of the entire system is conducted to verify the reference tracking and disturbance rejection outcomes. As a result, the state and grid voltage observer outcomes converge to the actual values as rapidly as possible. The effectiveness of the proposed control method is demonstrated in comparison with the proportional-integral (PI) approach and with a controller recently proposed in the literature. Simulation and experimental results are presented to verify the effectiveness of the proposed method under LCL parameter uncertainties and grid impedance variations.
format Bài trích
author Nguyen Ngoc Nam
Ngoc-Duc Nguyen
Changwoo Yoon
Young Il Lee
author_facet Nguyen Ngoc Nam
Ngoc-Duc Nguyen
Changwoo Yoon
Young Il Lee
author_sort Nguyen Ngoc Nam
title Disturbance Observer-Based Robust Model Predictive Control for a Voltage Sensorless Grid-Connected Inverter With an LCL Filter
title_short Disturbance Observer-Based Robust Model Predictive Control for a Voltage Sensorless Grid-Connected Inverter With an LCL Filter
title_full Disturbance Observer-Based Robust Model Predictive Control for a Voltage Sensorless Grid-Connected Inverter With an LCL Filter
title_fullStr Disturbance Observer-Based Robust Model Predictive Control for a Voltage Sensorless Grid-Connected Inverter With an LCL Filter
title_full_unstemmed Disturbance Observer-Based Robust Model Predictive Control for a Voltage Sensorless Grid-Connected Inverter With an LCL Filter
title_sort disturbance observer-based robust model predictive control for a voltage sensorless grid-connected inverter with an lcl filter
publisher IEEE Access
publishDate 2021
url https://ieeexplore.ieee.org/document/9507463
https://dlib.phenikaa-uni.edu.vn/handle/PNK/2859
_version_ 1751856266478616576
score 8.891787

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