Method of adaptive sliding-mode controller and application in speed governing system of steam turbine

To the characteristic of the strong non-linearity and uncertainty of the speed governing of steam turbines, a new method of adaptive sliding-mode controller was proposed. Using the dynamic radial basis function neural network (RBFNN) non-linear mapping ability, the system uncertainty parameter was dynamic differentiated; To design on the sliding switch control, a new adaptive fuzzy control was presented. Using the continuous output of the fuzzy control instead of the hard switch signal, that can smooth the control signal, eliminated the chattering efficiently. The system stability was proved by the Lyapunov stability theory. The simulation results indicate that this adaptive sliding-mold control method can achieve satisfaction effect.