The paper offers a wind turbine training system, which has supervisory layer and control layer. The supervisory layer is based on American NI Company's graphical softwareLabVIEW to set up the monitoring interface. The control layer is based on Matlab/Simulink software to simulate the wind power generation system model. With researching the mathematic model of wind turbine and analyzing control strategy of Doublefed induction generator, a variable-speed constant-frequency (VSCF) wind power generation training system is presented. The main operations of wind power generation system have been implemented including cutting-in control, maximum power point tracking (MPPT) at low wind speed and power control /variable pitch control at the rated wind speed. The corresponding curves in simulink and LabVIEW platforms are acquired. And by comparing them the correctness and feasibility of the training system are proved.

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A new control problem associated with a periodic time-varying system(PTS), arises in the control of unsteady flow over a blade as the wind turbine rotating . The model of the plant is considered as an aeroelastic pitch-plunge system coupling with B-L model and the stability of the system is analyzed by well-know floquet theory. Adaptive Control is adopted to overcome the fluctuation brought by periodic fluctuations of the flow. A modified PTS adaptive control stability theory is given and proved for linearized aeroelastic plant. The effectiveness of the proposed theory is demonstrated numerically. Nomenclature h = plunge motion θ = pitch angle xθ = distance between elastic axis and center of mass m = wing mass Iθ = mass moment of inertia of the wing about elastic axis b = semichord Ch , Cθ = plunge and pitch structural damping coefficients Kh , Kθ = plunge and pitch structural spring coefficients M = match number V = free-stream wind velocity r = distance between aerodynamic center and trail edge α = angle of attack α0 = angle of attack at zero lift α 0 = steady angle of attack b = exponents in the approximation to the indicial function A1,A2 = constants in the approximation to the indicial function w3/4 = downwash at three-quarter chord point CL fs = lift coefficient for fully separated flow CL,α = linear lift slope coefficient f st = separation point a st = arm to the pressure center u = linear plant control inputs ud = linear plant disturbance input(s) x = linear plant states y = linear plant outputs Ge ,GD = Adaptive gain matrices of the appropriate compatible dimensions γe , γD = Arbitrary, positive definite matrices