Study Of Resource-Allocating Network Based On Local Conditions And Control Of Phosphorus Removal In Wastewater Disposal Systems

China is a country which has an uneven distribution of water resources,and it’s also a waterless country. The economic develop fast in the lastdecade，however, water environment suffered seriously damage at the sametime. The situation of water is getting even more worse.This paper starts with sewage treatment and the process of Phosphorusremoval in wastewater disposal systems, then describes the principle ofsewage treatment craft, and performance indicators and quality parameters ofwastewater treatment are also mentioned. After the analysis of onlinePhosphorus test instruments, the problem that it’s hard to design the traditionalcontrol system with long time test delay is show up. To solve the problem, thecontrol strategy of quasi steady state compensation based on former predictionis adopted. By using the Neural Network, the prediction of Phosphorus contentof input water can be made. In order to avoiding the existing problems ofRAN, a resource-allocating network based on local conditions (RAN-LC) isproposed. This method gets the initial hidden nodes by using K-meansclustering algorithm and the characteristics of activation function, and it utilizes new Novelty Criterion based on local conditions instead of the old oneto keep the network neat and efficient. Moreover, it adopts Multi-patterns toenhance the generalization ability of network in the state of parametersadjustment. The simulation results show that this method can generatenetwork quickly and more reasonable. The network generated finally has goodperformance and also works well in the prediction of nonlinear systems.After that, stable compensatory control for SISO linear systems isproposed in this paper. A new neural network PID controller based onsteady-state parameters by using the internal information of controlled systemcan be got. And the parameters of BP-PID are also modified to improveresponse performance and robustness of the system. The simulation resultsshow that the system has good rapid response capability and strong robustness.With the control strategy of the former prediction&nearby location of stablepoint compensation, experiment with a pH titration model is carried on, whichis much like the control of Phosphorus removal in wastewater disposal system.Simulation results show that it is better than comment control strategy and canalso have good performance within the long time test delay.In the last part of the paper, we designed the control system according theactual situation of Phosphorus removal in wastewater disposal system. And italso keeps the flexible online learning methods. With the configurationsoftware named Sunway Force Control, the supervisory control system forwastewater treatment system according the control system requirements is developed, and the electrical communication working, more over, theexplanation about them is given in the end.