The high randomness of wind speed and the uncertainties of wind generator modelling have posed great challenges to the optimal operation of wind power generation systems. This paper designs a new nonlinear robust state estimation feedback control(NRSEFC)of doubly-fed induction generator(DFIG)for maximum power point tracking(MPPT). Firstly

the combined effect of wind turbine nonlinearities

generator parameter uncertainties

and wind speed randomness is aggregated into a perturbation

which is then rapidly estimated in real-time by a sliding-mode state and perturbation observer(SMSPO). Furthermore

the perturbation estimation value is fully compensated online as a supplementary control component by a state estimation feedback controller. NRSEFC has the advantages of simple structure

high reliability of linear feedback control

as well as global control consistency and significant robustness of nonlinear robust control

while it does not require an accurate DFIG model and only need the state variables of rotor speed and reactive power. Four case studies

including step change of wind speed

random wind speed

generator parameter measurement error and voltage drop are carried out. Simulation results verify the effectiveness and robustness of the proposed approach. Finally

a dSpace based hardware-in-the-loop(HIL)test validates the application feasibility of the proposed approach.