Fuzzy Control Of Speed-variable Wind Generating Unit Of Constant Frequency

Globally enthusiastic research has been focused on the exploitation of wind power as a source of renewable energy. Benefited from the ceaseless development of information technology and control technique, research on grid-connected wind power generation has been in fast progress, with commercial application from several kilowatts up to more than one megawatts per unit, and category of controls from stall type to pitch regulation type up to the state-of-the-art varying speed type.To make wind power systems truly economical and imperative, in this paper we develop a control scheme for wind turbine using nonlinear and adaptive control theory. Based on both mechanical and electrical dynamics, nonlinear and adaptive control algorithms are derived to on-line adjust the excitation winding voltage of the generator. This method is shown to be able to achieve smooth and asymptotic rotor speed tracking, as justified by both analysis and computer simulation.As this paper's primary part, we mainly study the application of the new rising science-intelligent control technique has been implemented to design the tracking control of the wind energy control system. A wind speed step model was used in the design phase. The performance of the wind energy control system with the proposed fuzzy logic controller is tested using real meteorological data. Its robustness and effectiveness are demonstrated by the simulation results of the controlled system.As this paper's last part, as wind is an uncontrolled and stochastic source of power because its speed is continuously changing in magnitude and direction, thus make the fuzzy control system much more complicated and uncertain. The controller is design by state feedback for each local model separately. The stability of the whole closed-loop fuzzy system listing the maximum power from the wind energy system and transferring this power to utility. Also proved via the piecewise Lyapunov function.