Neural Network Based Switching State Selection for Direct Power Control of Three Phase PWM-Rectifier

Fekik, Arezki; Denoun, Hakim; Hamida, Mohamed Lamine; Azar, Ahmad Taher; Atig, Mahdi; Zhu, Qingyu

doi:10.1109/icmic.2018.8529997

Cited by 15 publications

(6 citation statements)

References 10 publications

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“…The mathematical formulation of DFIG closely resembles that of a conventional induction motor, with the key difference being the inclusion of a non-zero voltage across the rotor. Park transformation framework of DFIG is widely referenced in academic literature [8]- [10]. The principal equations governing the stator and rotor dynamics of DFIG within the Park coordinate system are outlined as (1).…”

Section: Model Of Dfigmentioning

confidence: 99%

“…For enhanced performance in terms of surface dynamics and commutation, the control vector is defined according to the following specification [8]:…”

Section: Calculation Of Controlmentioning

confidence: 99%

“…A series of studies focusing on the SMC application for DFIG underscores its popularity [3]- [5] Nonetheless, a notable limitation of this control strategy is the chatter phenomenon, which arises due to the control's intermittent nature. To address this limitation, various enhancements to the conventional control methodology have been introduced, with the boundary layer technique standing out as particularly noteworthy [6]- [8].…”

Section: Introductionmentioning

confidence: 99%

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Advanced control scheme of doubly fed induction generator for wind turbine using second sliding mode control

Bekouche,

Chaker

2024

IJECE

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This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator(DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC).Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.

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Section: Model Of Dfigmentioning

confidence: 99%

“…For enhanced performance in terms of surface dynamics and commutation, the control vector is defined according to the following specification [8]:…”

Section: Calculation Of Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Advanced control scheme of doubly fed induction generator for wind turbine using second sliding mode control

Bekouche,

Chaker

2024

IJECE

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“…This control was used to control synchronous generators [61] and asynchronous generators [62]. To overcome the defects of DARPC, intelligent strategies such as neural networks [63] and fuzzy logic [64] have been used. Besides the intelligent strategies, nonlinear controls were used to improve the efficiency of the DARPC, such as using SMC [65] and backstepping controller [66].…”

Section: Darpc Based On Nonlinear Controllersmentioning

confidence: 99%

“…To estimate the capabilities, equations ( 13) and ( 14) are used. To obtain good estimates, high-quality measuring devices must be used, where voltage and current are measured [63,66].…”

Section: Darpc Based On Nonlinear Controllersmentioning

confidence: 99%

Comparative Study of Synergetic Controller with Super Twisting Algorithm for Rotor Side Inverter of DFIG

2023

ijSmartGrid

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This work presents the implementation of direct active and reactive powers control (DARPC) with nonlinear controllers (synergetic controller (SC) and super twisting algorithm (STA)) for the rotor side converter of doubly-fed induction generator (DFIG) connected to the multi-rotor wind turbine (MRWT) system, as an alternative to the DARPC technique with STA controllers. In this work, DARPC is based on the nonlinear controllers and space voltage vector technique. Modified space vector modulation (MSVM) technique is applied to compose fixed-switching-frequency DARPC strategy, which replaces the switching table and hysteresis comparators technique in classical DARPC technique. DFIG's mathematics model and the two control techniques are given, and the simulations of DFIG based on DARPC-SC and DARPC-STA are made separately by Matlab software. In this work, two tests are proposed in order to verify the behavior of the proposed strategies, where the comparison between the strategies is in several aspects such as current quality, traceability of references, robustness, and ripple ratio. Simulation results show that the strategy based on synergetic control is better in terms of response time, ripple ratio, and electric current quality compared to other strategies.

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A Backstepping Direct Power Control of Three Phase Pulse Width Modulated Rectifier

Fekik

Azar

Denoun

et al. 2020

Soft Computing Applications

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Neural Network Based Switching State Selection for Direct Power Control of Three Phase PWM-Rectifier

Cited by 15 publications

References 10 publications

Advanced control scheme of doubly fed induction generator for wind turbine using second sliding mode control

Advanced control scheme of doubly fed induction generator for wind turbine using second sliding mode control

Comparative Study of Synergetic Controller with Super Twisting Algorithm for Rotor Side Inverter of DFIG

A Backstepping Direct Power Control of Three Phase Pulse Width Modulated Rectifier

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