Abstract: An augmented predictive intelligent control strategy of wind turbine load based on adaptive nonsingular terminal sliding mode observer（ANTSMO）is proposed to effectively reduce the unbalanced load. Firstly,aiming at the performance degradation of model predictive control（MPC）caused by model mismatch,the command tracking error and the change of state are augmented to state vector,and the augmented MPC is designed to eliminate the steady-state tracking error. Secondly,an ANTSMO is designed to estimate the state parameters,which can improve the reliability of the control system. Then,the multi-objective variable speed grey wolf optimization（MOVGWO）algorithm is designed to optimize the controller parameters. Finally,the effectiveness of the proposed control strategy is verified based on Simulink platform. The results show that the proposed control strategy can effectively eliminate the steadystate error,shorten the regulation time and improve the control performance.