Abstract: Ice load on the sea surface is an important factor to be considered in the design and operation of offshore wind turbines in cold regions. In this paper, a T-S fuzzy incremental model of offshore wind turbines under wind and ice disturbances is established. The distributed compensation control method is used to control the pitch angle increment to maintain the power stability of the wind turbines and reduce the influence of ice load on the sea surface, and the linear matrix inequality (LMI) method is used to solve the correlation gain based on the Lyapunov stability, so that the design of the fuzzy state observer and the fuzzy state feedback controller is completed, and the H∞ performance index is considered in the design process to reduce the influence of wind and sea ice load disturbance on the system. The simulation results show that the designed fuzzy state observer can accurately track the operating state of offshore wind turbines; the designed load shedding controller can effectively reduce the adverse effects of wind and sea ice disturbance on the system dynamic performance; the power of the wind turbine and the displacement of the tower top can be maintained within a relatively stable range.