Abstract:The method of fuzzy identification is adopted to set up the T-S fuzzy inverse model, the premise structure of which uses fuzzy c-mean algorithm. The conclusion parameter is identified by the least squares identification, and is combined with least mean squares algorithm to adjust online as a system controller, in order to solve the inert and delay of the main steam temperature system. Simulation results show that the method improves the robustness of power plant main steam temperature system and its dynamic stability.