Varying parameters of the Object Model on Fuzzy neural network controller for Activated sludge method of the Sewage treatment system

摘要

In this paper,we take characteristics of wastewater treatment and process technolo gy,drawing on the effectiveness of thetraditional PID control and on the basis of its lack,with the key steps in the sewage treatment process—Aeration control of part of the process parameters,Fuzzy neural network control of dissolved oxygen concentration (DO) to achieve negative feedback control loop,design a model-based closed-loop cascade control system.F uzzy systems,membership function,the structure of the network topology and algorithms are based on the actual issues identified in the fuzzy variables.Aiming at the four parts of the fuzzy control,adopting four fuzzy neural network based on the standard model— the inp ut layer,Fuzzy layer,Inference layer,Clear layer are corresponding with it.Standing on two point:the dissolved oxygen concentration control and the rate of change from the error,th en design the Fuzzy neural network controller.Then the fuzzy neural network control techn ology could be used in wastewater treatment on the specific application of process control.