Experimental Validation of Predictive Current Control for DFIG: FPGA Implementation

Bouderbala, Manale; Bossoufi, Badre; Deblecker, Olivier; Aroussi, Hala Alami; Taoussi, Mohammed; Lagrioui, Ahmed; Motahhir, Saad; Masud, Mehedi; Alraddady, Fahad

doi:10.3390/electronics10212670

Cited by 21 publications

(13 citation statements)

References 36 publications

(38 reference statements)

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“…This strategy identifies the appropriate control variables that cancel the error between the control variable and the reference input [18]. In general, the continuous representation of a system is presented as [26], [27]:…”

Section: Deadbeat Strategymentioning

confidence: 99%

Novel deadbeat predictive control strategy for DFIG’s back to back power converter

Bouderbala

Bossoufi

Aroussi

et al. 2022

IJPEDS

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To successfully carry out a wind energy conversion system, it is necessary to simultaneously control the rotor and the grid side. This paper proposes a doubly-fed induction generator's predictive power control. While the powers are controlled indirectly through currents, the latter is controlled using the deadbeat command. Based on discrete-time, the control suggests at each sample period the required voltages to the the-back-to-back converter to reach the desired setpoints, control the powers, and the DC link voltages. For these reasons, a presentation of the system is given first, then a description of the predictive control, followed by applying this strategy on the rotor side control and grid side control. Finally, a random wind profile was applied to analyze the system's performance with a unitary power factor. The simulation results are presented in the MATLAB/Simulink environment using a 1.5 kW DFIG. The results obtained by applying a random wind profile have well fulfilled the objectives of the control and the system robustness is approved by the excellent tracking allowing the machine's internal parameters variation. By comparing the quality and the tracking reference of the proposed control method to other control methods, the deadbeat controller was very promising.

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Section: Deadbeat Strategymentioning

confidence: 99%

Novel deadbeat predictive control strategy for DFIG’s back to back power converter

Bouderbala

Bossoufi

Aroussi

et al. 2022

IJPEDS

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“…The DC-Bus in Figure 1 illustrates the structure [22,26,27]. The following equations characterize the continuous bus:…”

Section: Converters Modelmentioning

confidence: 99%

FPGA in the Loop Implementation for Observer Sliding Mode Control of DFIG-Generators for Wind Turbines

et al. 2021

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This paper presents a new contribution of the nonlinear control technique of electrical energy in a wind energy system. The nonlinear sliding mode technique used to control the powers of the DFIG-Generator is connected to the power grid by two converters (grid side and machine side). The proposed model is validated using tracking and robustness tests with a real wind speed. The control was developed under Matlab/Simulink, and the FPGA in the Loop technique was used to design the DFIG model. By employing a co-simulation, the purpose is to test the controller for the FPGA simulated model or system in its entirety. The results obtained by the cο-simulation show the efficiency of the proposed model in terms of speed and robustness with a rate THD = 0.95, and the proposed model of the sliding mode controller shows a significant improvement in the quality of energy produced by the wind system.

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“…For this reason the DC bus voltage increases and the torque fluctuations come by. Therefore, the high transient currents damage the RSC and the DFIG in the absence of protection measures (Bossoufi et al, 2020; Bouderbala et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Enhancement of the direct power control by using backstepping approach for a doubly fed induction generator

Yessef¹,

Bossoufi²,

Taoussi³

et al. 2022

Wind Engineering

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In this paper, an improved direct power command strategy based on backstepping was designed to ensure the proper operation of DFIG during the electrical grid faults and to control the stator powers through the injection of the reactive power into the electrical grid to guarantee the voltage return. This strategy contributes to the elimination of high peak currents and stabilizes the active power at its desired optimal value. The backstepping controller used to develop this command is based on the lyapunov function in order to guarantee the stability and robustness of the aero-generator. A Matlab/Simulink simulation and a comparative study were carried out to prove the robustness and efficiency of our developed command. Moreover, despite the variable wind speed, the obtained results prove the validation of the developed command with a total harmonic distortion (THD) that does not exceed 0.33%.

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Experimental Validation of Predictive Current Control for DFIG: FPGA Implementation

Cited by 21 publications

References 36 publications

Novel deadbeat predictive control strategy for DFIG’s back to back power converter

Novel deadbeat predictive control strategy for DFIG’s back to back power converter

FPGA in the Loop Implementation for Observer Sliding Mode Control of DFIG-Generators for Wind Turbines

Enhancement of the direct power control by using backstepping approach for a doubly fed induction generator

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