Model-Free Predictive Current Control of Three-Level Grid-Connected Inverters With LCL Filters Based on Kalman Filter
With the high-speed development of digital signal processors, model predictive current control (MPCC) has been widely used in power converters. However, the control robustness of MPCC is poor because of its strong dependence on the model parameters. In this paper, an ultra-local model-free predictiv...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10057383/ |
| _version_ | 1811158548900478976 |
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| author | Tao Zhao Mingzhou Zhang Chunlin Wang Quan Sun |
| author_facet | Tao Zhao Mingzhou Zhang Chunlin Wang Quan Sun |
| author_sort | Tao Zhao |
| collection | DOAJ |
| description | With the high-speed development of digital signal processors, model predictive current control (MPCC) has been widely used in power converters. However, the control robustness of MPCC is poor because of its strong dependence on the model parameters. In this paper, an ultra-local model-free predictive current control (MFPCC) for three-level grid-connected inverters (GCI) with LCL filters is proposed. Based on ultra-local theory, a third-order ultra-local model of the GCI with LCL filters is constructed. Then, a Kalman filter (KF) is introduced to estimate the three perturbations. Moreover, the perturbations are compensated to the predictive current model, thus reducing the number of model parameters involved in the predictive control. Finally, simulation results show that the proposed MFPCC improves the tracking performance of the grid current and strengthens the dynamic response capabilities under the parameter mismatch. Furthermore, the output power quality becomes higher, and the system robustness is also enhanced under noisy environment. |
| first_indexed | 2024-04-10T05:25:04Z |
| format | Article |
| id | doaj.art-af689d42e6fd4510b0fa423f1d636d41 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-10T05:25:04Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-af689d42e6fd4510b0fa423f1d636d412023-03-08T00:00:40ZengIEEEIEEE Access2169-35362023-01-0111216312164010.1109/ACCESS.2023.325141010057383Model-Free Predictive Current Control of Three-Level Grid-Connected Inverters With LCL Filters Based on Kalman FilterTao Zhao0https://orcid.org/0000-0003-0536-1609Mingzhou Zhang1Chunlin Wang2Quan Sun3Nanjing Institute of Technology, Nanjing, ChinaNanjing Institute of Technology, Nanjing, ChinaNanjing Institute of Technology, Nanjing, ChinaNanjing Institute of Technology, Nanjing, ChinaWith the high-speed development of digital signal processors, model predictive current control (MPCC) has been widely used in power converters. However, the control robustness of MPCC is poor because of its strong dependence on the model parameters. In this paper, an ultra-local model-free predictive current control (MFPCC) for three-level grid-connected inverters (GCI) with LCL filters is proposed. Based on ultra-local theory, a third-order ultra-local model of the GCI with LCL filters is constructed. Then, a Kalman filter (KF) is introduced to estimate the three perturbations. Moreover, the perturbations are compensated to the predictive current model, thus reducing the number of model parameters involved in the predictive control. Finally, simulation results show that the proposed MFPCC improves the tracking performance of the grid current and strengthens the dynamic response capabilities under the parameter mismatch. Furthermore, the output power quality becomes higher, and the system robustness is also enhanced under noisy environment.https://ieeexplore.ieee.org/document/10057383/Model-free predictive current control (MFPCC)grid-connected inverters (GCI)ultra-local modelKalman filter (KF)robustness |
| spellingShingle | Tao Zhao Mingzhou Zhang Chunlin Wang Quan Sun Model-Free Predictive Current Control of Three-Level Grid-Connected Inverters With LCL Filters Based on Kalman Filter IEEE Access Model-free predictive current control (MFPCC) grid-connected inverters (GCI) ultra-local model Kalman filter (KF) robustness |
| title | Model-Free Predictive Current Control of Three-Level Grid-Connected Inverters With LCL Filters Based on Kalman Filter |
| title_full | Model-Free Predictive Current Control of Three-Level Grid-Connected Inverters With LCL Filters Based on Kalman Filter |
| title_fullStr | Model-Free Predictive Current Control of Three-Level Grid-Connected Inverters With LCL Filters Based on Kalman Filter |
| title_full_unstemmed | Model-Free Predictive Current Control of Three-Level Grid-Connected Inverters With LCL Filters Based on Kalman Filter |
| title_short | Model-Free Predictive Current Control of Three-Level Grid-Connected Inverters With LCL Filters Based on Kalman Filter |
| title_sort | model free predictive current control of three level grid connected inverters with lcl filters based on kalman filter |
| topic | Model-free predictive current control (MFPCC) grid-connected inverters (GCI) ultra-local model Kalman filter (KF) robustness |
| url | https://ieeexplore.ieee.org/document/10057383/ |
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