The smart blade is the main direction of the intelligent control of wind turbine blades. The vibration of a blade can be significantly suppressed by the smart actuator installed on the trailing of the blade and furnished with a control algorithm. The key problem is the design of control rule based on the optimal identification to deal with the parameters’ change of the blade system in complicated operation conditions. Aiming at the control and suppression of blade vibration, the differential evolution (DE) algorithm was adopted to optimize the forgetting factor in the traditional recursive leastsquare identification and an optimal selftuning PID controller was developed based on the DE optimized identification. The proposed controller was implemented to control the system model, established in Matlab/Simulink. The simulation results show that the DE optimized selftuning PID controller performs well in suppressing the pitch angle and plunge displacement in the condition of parameter’s change. The overall vibration control effect might be further improved by the proposed controller in complicated operation conditions.