Abstract: An adaptive event-triggered control method based on T-S fuzzy model was proposed to address the problems of low control efficiency and heavy communication load of offshore wind turbines under high-frequency wind speed disturbances and limited communication resources. By constructing T-S fuzzy incremental models under different wind speed conditions, the nonlinear dynamic characteristics of wind turbine system were effectively modeled. The controller adopts a state-error-driven event-triggered mechanism to reduce the communication frequency. Based on Lyapunov stability theory, the relevant gains were obtained by solving linear matrix inequalities to complete the controller design. The H_∞ performance index was introduced in the design to enhance the suppression capability against wind disturbances in system. Simulation results demonstrate that the designed controller can mitigate the impacts of typical wind disturbances including step wind and turbulent wind on the system, stabilize the output power of the wind turbine within a specified range, and significantly reduce the communication load of system.