Disturbance Observer-Based Model Predictive Super-Twisting Control for Soft Open Point
This paper presents a disturbance observer-based model predictive of super-twisting control for Soft Open Point (SOP). First, with the consideration of the disturbances caused by parameter mismatches and unmodelled dynamics, a super-twisting sliding-mode observer (STO) is proposed to observe the dis...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/10/3657 |
| _version_ | 1797500172000821248 |
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| author | Zhengqi Wang Haoyu Zhou Hongyu Su |
| author_facet | Zhengqi Wang Haoyu Zhou Hongyu Su |
| author_sort | Zhengqi Wang |
| collection | DOAJ |
| description | This paper presents a disturbance observer-based model predictive of super-twisting control for Soft Open Point (SOP). First, with the consideration of the disturbances caused by parameter mismatches and unmodelled dynamics, a super-twisting sliding-mode observer (STO) is proposed to observe the disturbances, and the observed disturbances are introduced into the inner-loop as the compensation to improve the anti-disturbance of SOP system. Second, the outer-loop controller is designed by applying the super-twisting sliding-mode control (STC) approach to improve the dynamic performance and robustness. Third, to deal with large current harmonics by traditional model predictive control (MPC), a Three-Vector-based MPC (TV-MPC) is proposed to increase the number of voltage vectors in a sampling time. Finally, it is verified by simulations that the proposed method can reduce current harmonics, DC-side voltage setting time and improve the dynamic performance of SOP system effectively. In case of parameter mismatches, the proposed observer can observe the disturbances correctly to enhance the robustness of the SOP system. |
| first_indexed | 2024-03-10T03:58:03Z |
| format | Article |
| id | doaj.art-6ebb48038bc246b591573be98dfbe7bd |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T03:58:03Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-6ebb48038bc246b591573be98dfbe7bd2023-11-23T10:51:16ZengMDPI AGEnergies1996-10732022-05-011510365710.3390/en15103657Disturbance Observer-Based Model Predictive Super-Twisting Control for Soft Open PointZhengqi Wang0Haoyu Zhou1Hongyu Su2School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, ChinaSchool of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, ChinaSchool of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150001, ChinaThis paper presents a disturbance observer-based model predictive of super-twisting control for Soft Open Point (SOP). First, with the consideration of the disturbances caused by parameter mismatches and unmodelled dynamics, a super-twisting sliding-mode observer (STO) is proposed to observe the disturbances, and the observed disturbances are introduced into the inner-loop as the compensation to improve the anti-disturbance of SOP system. Second, the outer-loop controller is designed by applying the super-twisting sliding-mode control (STC) approach to improve the dynamic performance and robustness. Third, to deal with large current harmonics by traditional model predictive control (MPC), a Three-Vector-based MPC (TV-MPC) is proposed to increase the number of voltage vectors in a sampling time. Finally, it is verified by simulations that the proposed method can reduce current harmonics, DC-side voltage setting time and improve the dynamic performance of SOP system effectively. In case of parameter mismatches, the proposed observer can observe the disturbances correctly to enhance the robustness of the SOP system.https://www.mdpi.com/1996-1073/15/10/3657Soft Open Point (SOP)model predictive control (MPC)parameter mismatchsuper-twisting algorithmsliding-mode observer |
| spellingShingle | Zhengqi Wang Haoyu Zhou Hongyu Su Disturbance Observer-Based Model Predictive Super-Twisting Control for Soft Open Point Energies Soft Open Point (SOP) model predictive control (MPC) parameter mismatch super-twisting algorithm sliding-mode observer |
| title | Disturbance Observer-Based Model Predictive Super-Twisting Control for Soft Open Point |
| title_full | Disturbance Observer-Based Model Predictive Super-Twisting Control for Soft Open Point |
| title_fullStr | Disturbance Observer-Based Model Predictive Super-Twisting Control for Soft Open Point |
| title_full_unstemmed | Disturbance Observer-Based Model Predictive Super-Twisting Control for Soft Open Point |
| title_short | Disturbance Observer-Based Model Predictive Super-Twisting Control for Soft Open Point |
| title_sort | disturbance observer based model predictive super twisting control for soft open point |
| topic | Soft Open Point (SOP) model predictive control (MPC) parameter mismatch super-twisting algorithm sliding-mode observer |
| url | https://www.mdpi.com/1996-1073/15/10/3657 |
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