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Your search keyword '"Bouchafaa, Farid"' showing total 36 results
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36 results on '"Bouchafaa, Farid"'

11. Fractional Adaptive Fuzzy Sliding Mode Control Algorithm for Permanent Magnet Synchronous Generators

Author

FERHAT, Nawal, Aounallah, Tarek, Essounbouli, Najib, Hamzaoui, Abdelaziz, Bouchafaa, Farid, LINS, USTBH, Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (CRESTIC), and Université de Reims Champagne-Ardenne (URCA)

Subjects
Sliding mode control, Adaptive Takagi-Sugeno fuzzy logic system, Lyapunov, [SPI.NRJ]Engineering Sciences [physics]/Electric power, 0202 electrical engineering, electronic engineering, information engineering, [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], 02 engineering and technology, Wind energy, Fractional-order calculus, Permanent magnet synchronous generator, [SPI.AUTO]Engineering Sciences [physics]/Automatic, 020202 computer hardware & architecture
Abstract

International audience; This paper presents a fractional order robust nonlinear control for variable speed wind energy system equipped with a permanent magnet synchronous generator. The control strategy, which is applied to the generator side converter, combines the Sliding Mode Control method with three adaptive Takagi Sugeno fuzzy systems in the fractional order. The resulting control laws improve the system’s robustness and tracking performance. Fractional Lyapunov function has been used to prove the asymptotic stability of the control system. The comparison of simulation results between the proposed control method and its integer order counterpart, via Matlab / Simulink environment, illustrates the effectiveness of the proposed control approach regarding external disturbances and parametric uncertainties.

Published
2021

29. An adaptive backstepping controller of doubly-fed induction generators

Author

Aounallah Tarek, Hamzaoui Abdelaziz, Essounbouli Najib, and Bouchafaa Farid

Subjects
Lyapunov function, Engineering, Wind power, Maximum power principle, business.industry, Induction generator, Control engineering, Nonlinear system, symbols.namesake, Control theory, Backstepping, symbols, Torque, Robust control, business
Abstract

In this article, we focus on the design of a robust control structure to extract the maximum power of a wind energy conversion system based on the Doubly-Fed Induction Generators (DFIG). The proposed algorithm combines the nonlinear approach Backstepping with the field-oriented control (FOC), the true and virtual control signals have been synthesized using a single channel for controlling the rotor side converter (RSC). This system will be adjusted online according to a law of adaptation deduced from the analysis of the stability in the sense of Lyapunov. The simulation results will be provided to strengthen the effectiveness of the proposed approach.

Published
2015

32. Energy Optimization for a Wind DFIG with Flywheel Energy Storage.

Author

Hamzaoui, Ihssen and Bouchafaa, Farid

Subjects
*WIND power, *CONVERTERS (Electronics), *ENERGY storage, *INDUCTION generators, *DISTRIBUTED power generation, *RENEWABLE energy sources, *MAXIMUM power point trackers
Abstract

The type of distributed generation unit that is the subject of this paper relates to renewable energy sources, especially wind power. The wind generator used is based on a double fed induction Generator (DFIG). The stator of the DFIG is connected directly to the network and the rotor is connected to the network through the power converter with three levels. The objective of this work is to study the association a Flywheel Energy Storage System (FESS) in wind generator. This system is used to improve the quality of electricity provided by wind generator. It is composed of a flywheel; an induction machine (IM) and a power electronic converter. A maximum power tracking technique « Maximum Power Point Tracking » (MPPT) and a strategy for controlling the pitch angle is presented. The model of the complete system is developed in Matlab/Simulink environment I to analyze the results from simulation the integration of wind chain to networks. [ABSTRACT FROM AUTHOR]

Published
2016
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