Modeling and Backstepping Control of DFIG used in Wind Enegry Conversion System

Moumani, Youssef; Laafou, Abdeslam Jabal; Madi, Abdessalam Aït

doi:10.1109/icoa51614.2021.9442625

Cited by 6 publications

(9 citation statements)

References 9 publications

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“…B. Bossoufi et al [17] proposed the backstepping adaptive control of the DFIG for variable speed WTs. This study presents a nonlinear backstepping controller that is designed using an adaptive pole placement strategy applied to WTs.…”

Section: Related Workmentioning

confidence: 99%

“…To design the backstepping controller for the RSC, the stator active and reactive power 𝑃 𝑠 and 𝑄 𝑠 are provided by the following equations, ( 16) and (17), which have been derived from the DFIG model.…”

Section: Rsc Controlmentioning

confidence: 99%

“…where 𝑐 1 , 𝑐 2 , 𝑐 3 and 𝑐 4 are positive parameters that we must choose properly to ensure asymptotic convergence stability according to the Lyapunov theory [17].…”

Section: Active Powermentioning

confidence: 99%

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Archives of Electrical Engineering

2022

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This paper presents a comparative study between the conventional PI (Proportional Integral) and backstepping controllers applied to the DFIG (Doubly Fed Induction Generator) used in WECS (Wind Energy Conversion System). These two different control strategies proposed in this work are developed to control the active and reactive power of the DFIG on the one hand, and to maintain the DC-link voltage constant for the inverting function on the other hand. This is ensured by generating control signals for two power electronic converters, RSC (Rotor Side Converter) and GSC (Grid Side Converter). In order to optimise the power production in the WT (Wind Turbine), an MPPT (Maximum Power Point Tracking) algorithm is applied along with each control technique. To simulate the effectiveness of the proposed controllers, MATLAB/Simulink Software is used, and the obtained results are analysed and discussed to compare PI and backstepping controllers in terms of robustness against wind speed variations and tracking performance in dynamic and steady states.

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Section: Related Workmentioning

confidence: 99%

Section: Rsc Controlmentioning

confidence: 99%

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Archives of Electrical Engineering

2022

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“…However, the wind conversion system (WCS) is a complex system with non-linearities, multiple variables, and system parameter disturbances caused by the external environment. These problems should be taken into account to meet the challenge to obtain an accurate mathematical model [6]. Therefore, designing more detailed and effective control methods to solve these problems of different disturbances affecting the system is of great importance for the reliable operation of the WCS and also for extracting the maximum power from the wind turbine.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, designing more detailed and effective control methods to solve these problems of different disturbances affecting the system is of great importance for the reliable operation of the WCS and also for extracting the maximum power from the wind turbine. Currently, many researches have been presented [3], [4] using proportional integral (PI) regulators and backstepping control [6] to ISSN: 2302-9285 …”

Section: Introductionmentioning

confidence: 99%

Proposed robust ADRC control of a DFIG used in wind power production

Laafou

Madi²,

Moumani³

et al. 2022

Bulletin EEI

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This work presents the control of the double fed induction generator (DFIG) used in the wind conversion system (WCS). The studied model is based on the control of the two converters grid side converter (GSC) and rotor side converter (RSC), in order to extract the maximum of power and also to keep the direct current (DC) bus voltage constant. The control strategy used here is based on linear active disturbance rejection control (LADRC) controllers. These are known, in the field of control systems, by their performance and robustness and allow a very good rejection of disturbances which can affect the wind system. In addition, this kind of controllers could help to meet the requirements of robustness against the variations of the parameters of the system and the uncertainties of its mathematical model. To validate the effectiveness of the proposed control, the system was modeled and tested by numerical simulation using MATLAB/Simulink software. The results carried out are discussed and analyzed in terms of references tracking, robustness and disturbance rejection. The results obtained have shown shown that the proposed control is promising and useful.

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