Research on RBFNN adaptive output feedback control strategy in WECS

An adaptive output feedback control strategy based on RBF neural network(RBFNN) is presented.For the linearized mathematical models at the different wind velocity,the feedback gains of output feedback controllers were designed based on pole assignment in a vertical strip.The nonlinear mapping relationship between steady operation points and output feedback gains was approximated Afterwards by RBF neural network.The wind electricity conversion system(WECS) can operate on the expected points with zero-tracking-error and suitable damp ratio in a wide range of wind velocities,and effectively restrains the continually disturbance of gust.The dynamic performances of the proposed controller has been verified by MATLAB/Simulink simulation.