Adaptive Takagi–Sugeno Fuzzy Model Predictive Control for Permanent Magnet Synchronous Generator-Based Hydrokinetic Turbine Systems
This paper presents a sensorless model predictive torque control strategy based on an adaptive Takagi–Sugeno (T–S) fuzzy model for the design of a six–phase permanent magnet synchronous generator (PMSG)–based hydrokinetic turbine systems (PMSG-HTs), which not only provides clean electric energy and...
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| Format: | Article |
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MDPI AG
2020-10-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/20/5296 |
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| author | Yu-Chen Lin Valentina Emilia Balas Ji-Fan Yang Yu-Heng Chang |
| author_facet | Yu-Chen Lin Valentina Emilia Balas Ji-Fan Yang Yu-Heng Chang |
| author_sort | Yu-Chen Lin |
| collection | DOAJ |
| description | This paper presents a sensorless model predictive torque control strategy based on an adaptive Takagi–Sugeno (T–S) fuzzy model for the design of a six–phase permanent magnet synchronous generator (PMSG)–based hydrokinetic turbine systems (PMSG-HTs), which not only provides clean electric energy and stable energy-conversion efficiency, but also improves the reliability and robustness of the electricity supply. An adaptive T–S fuzzy model is first formed to characterize the nonlinear system of the PMSG before a model predictive torque controller based on the T–S fuzzy model for the PMSG system is employed to indirectly control the stator current and the stator flux magnitude, which improves the performance in terms of anti–disturbance, and achieves maximum hydropower tracking. Finally, we consider two types of tidal current, namely the mixed semidiurnal tidal current and the northwest European shelf tidal current. The simulation results demonstrate that the proposed control strategy can significantly improve the voltage–support capacity, while ensuring the stable operation of the PMSG in hydrokinetic turbine systems, especially under uneven tidal current speed conditions. |
| first_indexed | 2024-03-10T15:42:16Z |
| format | Article |
| id | doaj.art-4ff8123588b742dfa5d6b933f1dd38f0 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T15:42:16Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-4ff8123588b742dfa5d6b933f1dd38f02023-11-20T16:44:37ZengMDPI AGEnergies1996-10732020-10-011320529610.3390/en13205296Adaptive Takagi–Sugeno Fuzzy Model Predictive Control for Permanent Magnet Synchronous Generator-Based Hydrokinetic Turbine SystemsYu-Chen Lin0Valentina Emilia Balas1Ji-Fan Yang2Yu-Heng Chang3Department of Automatic Control Engineering, Feng Chia University, Taichung 40724, TaiwanAutomatics and Applied Software Department, Aurel Vlaicu University of Arad, 310130 Arad, RomaniaDepartment of Automatic Control Engineering, Feng Chia University, Taichung 40724, TaiwanDepartment of Automatic Control Engineering, Feng Chia University, Taichung 40724, TaiwanThis paper presents a sensorless model predictive torque control strategy based on an adaptive Takagi–Sugeno (T–S) fuzzy model for the design of a six–phase permanent magnet synchronous generator (PMSG)–based hydrokinetic turbine systems (PMSG-HTs), which not only provides clean electric energy and stable energy-conversion efficiency, but also improves the reliability and robustness of the electricity supply. An adaptive T–S fuzzy model is first formed to characterize the nonlinear system of the PMSG before a model predictive torque controller based on the T–S fuzzy model for the PMSG system is employed to indirectly control the stator current and the stator flux magnitude, which improves the performance in terms of anti–disturbance, and achieves maximum hydropower tracking. Finally, we consider two types of tidal current, namely the mixed semidiurnal tidal current and the northwest European shelf tidal current. The simulation results demonstrate that the proposed control strategy can significantly improve the voltage–support capacity, while ensuring the stable operation of the PMSG in hydrokinetic turbine systems, especially under uneven tidal current speed conditions.https://www.mdpi.com/1996-1073/13/20/5296model predictive torque controladaptive Takagi-Sugeno (T–S) fuzzy modelpermanent magnet synchronous generator (PMSG)hydrokinetic turbine systems |
| spellingShingle | Yu-Chen Lin Valentina Emilia Balas Ji-Fan Yang Yu-Heng Chang Adaptive Takagi–Sugeno Fuzzy Model Predictive Control for Permanent Magnet Synchronous Generator-Based Hydrokinetic Turbine Systems Energies model predictive torque control adaptive Takagi-Sugeno (T–S) fuzzy model permanent magnet synchronous generator (PMSG) hydrokinetic turbine systems |
| title | Adaptive Takagi–Sugeno Fuzzy Model Predictive Control for Permanent Magnet Synchronous Generator-Based Hydrokinetic Turbine Systems |
| title_full | Adaptive Takagi–Sugeno Fuzzy Model Predictive Control for Permanent Magnet Synchronous Generator-Based Hydrokinetic Turbine Systems |
| title_fullStr | Adaptive Takagi–Sugeno Fuzzy Model Predictive Control for Permanent Magnet Synchronous Generator-Based Hydrokinetic Turbine Systems |
| title_full_unstemmed | Adaptive Takagi–Sugeno Fuzzy Model Predictive Control for Permanent Magnet Synchronous Generator-Based Hydrokinetic Turbine Systems |
| title_short | Adaptive Takagi–Sugeno Fuzzy Model Predictive Control for Permanent Magnet Synchronous Generator-Based Hydrokinetic Turbine Systems |
| title_sort | adaptive takagi sugeno fuzzy model predictive control for permanent magnet synchronous generator based hydrokinetic turbine systems |
| topic | model predictive torque control adaptive Takagi-Sugeno (T–S) fuzzy model permanent magnet synchronous generator (PMSG) hydrokinetic turbine systems |
| url | https://www.mdpi.com/1996-1073/13/20/5296 |
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