Fuzzy-Neural Network Control Of Hydraulic Turbine Regulating System

Hydraulic turbine regulating system is a complex nonlinear control system,which has non-minimum-phase characteristic and time varying parameters.Hydrodynamics and mechano-electric dynamics are all involved in such a nonlinear dynamic system,whose accurate mathematical model is difficult to be established.To the question of the hydraulic turbine regulating system,this paper discusses fuzzy neural network control(FNNC) based on the character of fuzzy logic and neural network theory.FNNC uses neural network structure to achieve fuzzy logic reasoning and uses the study ability of neural network to optimize membership function and logical experience rules.For the existing static error in fuzzy control,a FNNC-PID composite controller is designed. A great deal of simulation work has been done and the result illustrates that this FNNC-PID composite controller is very effective for eliminating static error and improving dynamic quality and robustness compared with the converntional PID controller.