A feasible control strategy is proposed to control a doubly fed induction generator based on the wind energy converter system (DFIG-WECS). The main aim is to enhance the steady state and dynamic performance under the condition of the parameter perturbations and external disturbances and to satisfy the stator power response of the system. Within the proposed control method, the control scheme for the rotor side converter (RSC) is developed on the model predictive control. Firstly, the self-adaptive reference trajectory is established from the deduced discrete state-space equation of the generator. Then, the rotor voltage is calculated by minimizing the global performance index under the current prediction steps at the sampling instant. Through the control scheme for the grid side converter (GSC) and wind turbine, we have re-applied the conventional control. The effectiveness of the proposed control strategy is verified via time domain simulation of a 150 kW-575 V DFIG-WECS using Matlab/Simulink. The simulation result shows that the control of the DFIG with the proposed control method can enhance the steady and dynamic response capability better than the conventional ones when the system faces errors due to the parameter perturbations, external disturbances and the rotor speed.

The synchronization and parameter identification problem of the uncertain fractional-order chaotic system is investigated. Based on the Lyapunov stability theory and adaptive control theory, a method for Synchronization of uncertain fractional-order chaotic system using integer-order system is proposed, a novel adaptive controller and parameter updating rule are designed. Synchronization fractional-order chaotic Chen system using integral-order chaotic Chen system is realized, by which the uncertain parameters of Chen system are identified. Simulation results also verify the effectiveness of the proposed algorithm.