The Wind Energy Conversion System (WECS) based Doubly Fed Induction Generator (DFIG) has experienced a rapid development in the world, which leads to an increasing insertion of this source of energy in the electrical grids. The sudden and temporary drop of voltage at the network can affect the operation of the DFIG; the voltage dips produce high peak currents on the stator and rotor circuits, without protection, the rotor side converter (RSC) will suffer also from over-current limit, consequently, the RSC may even be destroyed and the generator be damaged. In this paper a new Direct Power Control (DPC) method was developed, in order to control the stator powers and help the operation of the aero-generator during the faults grid; by injecting the reactive power into the network to contribute to the return of voltage, and set the active power to the optimum value to suppress the high peak currents. The DPC method was designed using the nonlinear Backstepping (BS) controller associated with the Lyapunov function to ensure the stability and robustness of the system. A comparison study was undertaken to verify the robustness and effectiveness of the DPC-BS to that of the classical vector control (VC) using Proportional-Integral (PI) correctors. All were simulated under the Simulink® software.

In this paper we present a contribution for the modeling and control of wind energy conversion system based on a Doubly Fed Induction Generator (DFIG). Since the wind speed is random the system has to produce an optimal electrical power to the Network and ensures important strength and stability. In this work, the Backstepping controller is used to control the generator via two converter witch placed a DC bus capacitor and connected to the grid by a Filter R-L, in order to optimize capture wind energy. All is simulated and presented under MATLAB/Simulink Software to show performance and robustness of the proposed controller.

<span>In this research paper we investigate the modelling and control of a doubly fed induction generator (DFIG) driven in rotation by wind turbine, the control objectives is to optimize capture wind, extract the maximum of the power generated to the grid using MPPT algorithm (Maximum Power Point Tracking) and have a specified reactive power generated whatever wind speed variable, the indirect field oriented control IFOC with the PI correctors was used to achieve such as decoupled control. To validate the dynamique performance of our controller the whole system was simulated using dSPACE DS1104 Controller board Real Time Interface (RTI) which runs in Simulink/MATLAB software and ControlDesk 4.2 graphical interfaces.</span>

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In this paper, a second-order sliding mode (SOSM) disturbance observer will be designed and implemented for a single link manipulator using Ds1104. The target system model is derived via the expression of the Lagrange equations of movement based on an energy approach. The flexible link is a clamped-free Euler-Bernoulli beam, and the assumed modes method is used to approximate the elastic movement. The proposed observer is meant to estimate the single-link flexible manipulator state, and the equivalent output injection method is applied to reconstruct the determinist unknown time varying disturbance. To appraise the performance of the proposed strategy, the observer is implemented using dSPACE DS1104 Controller board Real-Time Interface (RTI) running under MATLAB/Simulink software and ControlDesk 4.2 graphical interface. The illustrated results, either of the simulation or the experimental setting up, show that the proposed strategy provides finite time and robust estimation of single link nonlinear flexible manipulator state. Furthermore, the observer gives with accuracy the reconstruction of external perturbation.