Augmented robust T-S fuzzy control based PMSG wind turbine improved with H∞ performance

In this paper, an improved augmented Takagi-Sugeno fuzzy control design applied to the system of converting wind turbine energy was proposed. The wind generator used is based on a permanent magnet synchronous wind power generator (PMSG) under varying operation of the wind speed. The proposed T-S fuz...

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Main Authors: Tidjani, Naoual (Author), Guessoum, Abderrezak (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2021-03-01.
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042 |a dc 
100 1 0 |a Tidjani, Naoual  |e author 
100 1 0 |e contributor 
700 1 0 |a Guessoum, Abderrezak  |e author 
245 0 0 |a Augmented robust T-S fuzzy control based PMSG wind turbine improved with H∞ performance 
260 |b Institute of Advanced Engineering and Science,   |c 2021-03-01. 
500 |a https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/20972 
520 |a In this paper, an improved augmented Takagi-Sugeno fuzzy control design applied to the system of converting wind turbine energy was proposed. The wind generator used is based on a permanent magnet synchronous wind power generator (PMSG) under varying operation of the wind speed. The proposed T-S fuzzy control strategy aims to maximize wind energy in low wind speed. A part of our contribution lies in the limitation of the power output of the wind generator in high wind speed. Through the concept of the virtual desired variables, the design of the output tracking controller is achieved. In light of this concept, the developed T-S fuzzy control was designed via parallel-distributed compensation (PDC) approach with H∞ performance.Sufficient conditions for the stability of the closed-loop system affected by external disturbances are proved from Lyapunov's direct method and the feedback gains of the controller strategy are determined by linear matrix inequalities (LMIs) tools. Another contribution is in showing the robustness of the Takagi-Sugeno based control strategy, with a focus on a set of system parameters with model uncertainties. The simulation results show the high performance of the proposed controller strategy for a 5MW (PMSG) obtained through simulation. 
540 |a Copyright (c) 2021 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-sa/4.0 
546 |a eng 
690 |a ∞ performance, PMSG, Takagi-Sugeno fuzzy control, PDC approach, Wind turbine 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 12, No 1: March 2021; 585-596 
786 0 |n 2722-256X 
786 0 |n 2088-8694 
786 0 |n 10.11591/ijpeds.v12.i1 
787 0 |n https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/20972/13379 
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