Research On Intelligent Control System For PH Of Adsorption In The Method Of Ion-Exchange Resin

The method of Ion-Exchange Resin is a new developing effective technology in recovering cyanide-containing wastewater, whose process is simple, operation is easy, ratio of recover is high and pollution is little. But, now, these are some problems such as the difficulty of adsorption, process slowness and noneffective to control adsorption, desorption and resin recover in china, so that limit its industrialization. Therefore the research is focused on intelligent control system of pH which is an important factor in the process of the ion-exchange resin adsorption.Firstly, a neural network model is made by RBF (Radial Basis Function) off line. Secondly, the dissertation presents the design of Fuzzy-PID controller with self-tuning of parameters and proposes a control scheme, whose automatic control system is consisted of PC and PLC and Human Machine Interface (HMI) is given which is developed by KingView (a kind of industry control configuration software). Finally, through MATLAB simulation demonstrates and prove the control performance of the proposed control algorithm in comparison with the traditionally designed PID control and Fuzzy control.Simulation results show that the proposed Fuzzy-PID control with self-tuning of parameter has good adaptive performances, disturbance and high accuracy.