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Article

Adaptive Takagi–Sugeno Fuzzy Model Predictive Control for Permanent Magnet Synchronous Generator-Based Hydrokinetic Turbine Systems

1
Department of Automatic Control Engineering, Feng Chia University, Taichung 40724, Taiwan
2
Automatics and Applied Software Department, Aurel Vlaicu University of Arad, 310130 Arad, Romania
*
Author to whom correspondence should be addressed.
Energies 2020, 13(20), 5296; https://doi.org/10.3390/en13205296
Received: 24 August 2020 / Revised: 28 September 2020 / Accepted: 5 October 2020 / Published: 12 October 2020
(This article belongs to the Special Issue Machine Learning and Deep Learning for Energy 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 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. View Full-Text
Keywords: model predictive torque control; adaptive Takagi-Sugeno (T–S) fuzzy model; permanent magnet synchronous generator (PMSG); hydrokinetic turbine systems model predictive torque control; adaptive Takagi-Sugeno (T–S) fuzzy model; permanent magnet synchronous generator (PMSG); hydrokinetic turbine systems
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MDPI and ACS Style

Lin, Y.-C.; Balas, V.E.; Yang, J.-F.; Chang, Y.-H. Adaptive Takagi–Sugeno Fuzzy Model Predictive Control for Permanent Magnet Synchronous Generator-Based Hydrokinetic Turbine Systems. Energies 2020, 13, 5296. https://doi.org/10.3390/en13205296

AMA Style

Lin Y-C, Balas VE, Yang J-F, Chang Y-H. Adaptive Takagi–Sugeno Fuzzy Model Predictive Control for Permanent Magnet Synchronous Generator-Based Hydrokinetic Turbine Systems. Energies. 2020; 13(20):5296. https://doi.org/10.3390/en13205296

Chicago/Turabian Style

Lin, Yu-Chen, Valentina E. Balas, Ji-Fan Yang, and Yu-Heng Chang. 2020. "Adaptive Takagi–Sugeno Fuzzy Model Predictive Control for Permanent Magnet Synchronous Generator-Based Hydrokinetic Turbine Systems" Energies 13, no. 20: 5296. https://doi.org/10.3390/en13205296

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