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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IEEE Access
2021
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| Truy cập trực tuyến: | https://ieeexplore.ieee.org/document/9507463 https://dlib.phenikaa-uni.edu.vn/handle/PNK/2859 |
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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 |
8.893527 |