DSPACE‐based implementation for observer backstepping power control of DFIG wind turbine

Bossoufi, Badre; Karim, Mohammed; Taoussi, Mohammed; Aroussi, Hala Alami; Bouderbala, Manale; Motahhir, Saad; Camara, Mamadou Baïlo

doi:10.1049/iet-epa.2020.0364

Cited by 27 publications

(33 citation statements)

References 28 publications

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“…In this section, we present some works in the field of control of wind systems, such as classical sliding mode control, direct torque control and vector control. Bossoufi et al (2017) [1] This paper discussed a non-linear control applied to a WECS-DFIG and developed the Backstepping Adaptive control based on the Lyapunov stability technique to make WECS works in better conditions. According to this study, the major problem encountered in most control algorithms was in terms of robustness.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Faced with a growing demand for energy caused by overpopulation throughout the globe and the Monopoly of countries on the industrial field and the more or less long-term depletion of fossil fuels, traditional energy sources are less and less abundant and different alternatives have been considered. Following the oil crises, some countries have pursued a nuclear-oriented policy while others have massively used renewable energies with the adoption of wind power [1].…”

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confidence: 99%

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Robust Sliding-Backstepping Mode Control of a wind system based on the DFIG Generator

Echiheb

Ihedrane

Bossoufi

et al. 2022

Preprint

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This paper presents a new contribution in the field of the optimization of the techniques of control of the wind systems, and the improvement of the quality of energy produced in the grid. The use of the Sliding Mode control technique gives quite interesting results, but its major drawback lies in the phenomenon of chattering (oscillations) which reduces the precision of the system. we propose in this work a solution to cancel this chattering phenomenon, by the implication of the adaptive Backstepping technique to control the powers of the double-fed asynchronous generator (DFIG) connected to the electrical network by two converters (network side and side machine) in the nominal part of the sliding mode model. This hybrid technique will correct errors of precision and stability and the performance of the wind system obtained in terms of efficiency, active and reactive power are very important. First, a review of the wind system was presented. Then, an exhaustive explanation of the Backstepping technique based on Lyapunov stability and optimization method has been reported. Subsequently, a validation on the Matlab & Simulink environment was carried out to test the performance and robustness of the proposed model. The results obtained from this work either by follow-up or robustness tests show a great improvement in terms of performance compared to other control techniques.

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Section: Literature Reviewmentioning

confidence: 99%

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confidence: 99%

Robust Sliding-Backstepping Mode Control of a wind system based on the DFIG Generator

Echiheb

Ihedrane

Bossoufi

et al. 2022

Preprint

Self Cite

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“…As illustrated in Figure 1, the essential elements of a WECS based on a DFIG are a turbine, a speed box, a DFIG, and a back-to-back converter. The stator is fundamentally connected to the network in WECS applications, whereas the rotor is connected to the back-to-back converter [25]. mation about the system at the initial temporary instant.…”

Section: Topology Description and Modelingmentioning

confidence: 99%

Experimental Validation of Predictive Current Control for DFIG: FPGA Implementation

et al. 2021

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The purpose of this study is to design a real-time current predictive control for a wind energy conversion system (WECS) using a doubly-fed induction generator (DFIG). A wind emulator and a test bench for assessing control strategies were conceptualized. The DSPACE DS1104 board served as the foundation for the design of a wind emulation system. While power is indirectly regulated via currents, the latter is controlled directly by current predictive control. Using discrete time, the control suggests the appropriate voltages to the converter for each sample period to attain the specified set points and control the power. The field-oriented control is employed to ensure that the two components, axes d and q, are decoupled. The present predictive control was established to regulate a DFIG’s active and reactive capabilities. To begin, a thorough examination of the WECS is discussed. Following that, a comprehensive description of predictive control laws based on reference frame orientation is offered. As a result, a simulation was done using Matlab/Simulink environments to assess the performance and resilience of the proposed control model. The predictive current control was then experimentally validated on a test bench to demonstrate its efficacy. The observed results reveal an astonishing correlation between simulations and experiments.

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“…Because of the coupling between the active and reactive power, it is evident that the dynamic model Equation ( 8) is strongly nonlinear. For a study of this equation, use the Lyapunov function [18,19], which is divided into two steps:…”

Section: Hybrid Controlmentioning

confidence: 99%

Implementation and Validation of Hybrid Control for a DFIG Wind Turbine Using an FPGA Controller Board

et al. 2021

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In this study, a novel control approach for a doubly-fed induction generator (DFIG) is developed and applied to improve the system’s dynamic response and performance for providing high energy quality while avoiding harmonic accumulations. Because of its ease of implementation, field-oriented control (FOC) is frequently used. This control has great sensitivity to the machine’s parametric variations. For this reason, adaptive Backstepping control (ABC) is capable of preserving almost all of the performance and robustness properties. However, its analytical formulation has a problem. To overcome these disadvantages, the hybrid control (HC) is developed and verified to enable rapid response, complete reference tracking, and appropriate dynamic behavior with a low ripple level. This control is a combination of FOC’s and ABC’s control laws. The prepared control is explored by simulation testing using Matlab/Simulink and practical implementation using an FPGA board with actual turbine settings and a real wind profile of Dakhla City, Morocco. The results of hardware simulation show the efficacy of the HC in terms of speed and robustness, with a total harmonic distortion THD = 0.95, a value of THD that reveals the quality of the energy injected into the grid.

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DSPACE‐based implementation for observer backstepping power control of DFIG wind turbine

Cited by 27 publications

References 28 publications

Robust Sliding-Backstepping Mode Control of a wind system based on the DFIG Generator

Robust Sliding-Backstepping Mode Control of a wind system based on the DFIG Generator

Experimental Validation of Predictive Current Control for DFIG: FPGA Implementation

Implementation and Validation of Hybrid Control for a DFIG Wind Turbine Using an FPGA Controller Board

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