Showing 5 results for Boudjema
H. Benbouhenni, Z. Boudjema, A. Belaidi,
Volume 14, Issue 4 (December 2018)
Abstract
This paper applied second order sliding mode control (SOSMC) strategy using artificial neural network (ANN) on the rotor side converter of a 1.5 MW doubly fed induction generator (DFIG) integrated in a wind turbine system. In this work, the converter is controlled by a neural space vector modulation (NSVM) technique in order to reduce powers ripples and total harmonic distortion (THD) of stator current. The validity of the proposed control technique applied on the DFIG is verified by Matlab/Simulink. The active power, reactive power, torque and stator current are determined and compared with conventional control method. Simulation results presented in this paper shown that the proposed control scheme reduces the THD value and powers ripples compared to traditional control under various operating conditions.
H. Benbouhenni, Z. Boudjema, A. Belaidi,
Volume 15, Issue 1 (March 2019)
Abstract
This article presents an improved direct vector command (DVC) based on intelligent space vector modulation (SVM) for a doubly fed induction generator (DFIG) integrated in a wind turbine system (WTS). The major disadvantages that is usually associated with DVC scheme is the power ripples and harmonic current. To overcome this disadvantages an advanced SVM technique based on fuzzy regulator (FSVM) is proposed. The proposed regulator is shown to be able to reduce the active and reactive powers ripples and to improve the performances of the DVC method. Simulation results are shown by using Matlab/Simulink.
E. Bounadja, Z. Boudjema, A. Djahbar,
Volume 15, Issue 3 (September 2019)
Abstract
This paper proposes a novel wind energy conversion system based on a Five-phase Permanent Magnetic Synchronous Generator (5-PMSG) and a Five to three Matrix Converter (5-3MC). The low cost and volume and also eliminating grid side converter controller are attractive aspects of the proposed topology compared to the conventional with back-to-back converters. The control of active and reactive power injected to the grid from the proposed system is carried out by a Direct Power Control (DPC) combined with a Space Vector Modulation (SVM). An advantage of this control, compared with the Conventional Direct Power Control (C-DPC) method, is that it eliminates the lookup table and lowers grid powers and currents harmonics through the use of a standard PI controller instead of hysteresis comparators. The efficiency of proposed whole system has been simulated by using MATLAB/Simulink environment.
H. Benbouhenni, Z. Boudjema, A. Belaidi,
Volume 17, Issue 1 (March 2021)
Abstract
The paper presents a super-twisting sliding mode (STSM) regulator with neural networks (NN) of direct power command (DPC) for controlling the active/reactive power of a doubly-fed induction generator (DFIG) using a two-level space vector pulse width modulation (2L-SVPWM). Traditional DPC strategy with proportional-integral (PI) controllers (DPC-PI) has significantly more active/reactive power ripples, electromagnetic torque ripple, and harmonic distortion (THD) of voltages. The proposed DPC strategy based on a neural super-twisting sliding mode controller (NSTSM) minimizes the THD of stator/rotor voltage, reactive/active power ripple, rotor/stator current, and torque ripples. Also, the DPC method with NSTSM controllers (DPC-NSTSM) is a simple algorithm compared to the vector control method. Both methods are developed and programmed in Matlab on a 1.5MW DFIG-based wind turbines. The simulation studies of the DPC technique with the NSTM algorithm have been performed, and the results of these studies are presented and discussed.
Z. Boudjema, H. Benbouhenni, A. Bouhani, F Chabni,
Volume 17, Issue 3 (September 2021)
Abstract
This article presents the implementation of an improved space vector pulse width modulation (SVPWM) technique based on neural network for a real two level voltage source inverter (VSI) realized in our Lab. The major goal of using this new technique is the amelioration of the voltage quality in the output of the VSI by decreasing the effect of the harmonics. The used technique has been simulated by MATLAB/Simulink and then implemented using a DSPACE card on a real two level VSI. The advantages of the used technique are shown by simulation and experiment results.
