| With In order to improve the efficiency of sewage treatment water quality and reduce operating costs, Countries around the world began to vigorously study the sewage treatment process and various control algorithms and search for the cost-effective of sewage treatmen.Because of the population intensity in china and the scarcity of water for a long time,that handling sewage treatment is extremely urgent,Today,The automation level of china’s sewage treatment plant is gradually improved.In order to guarantee the quality of water that reach the emission standards and avoid secondary pollution,it is significant for us to find an efficient sewage treatment process or effective control of the existing process.In the basis of deep analysis of SBR wastewater treatment process, in this thesis, we focus on predictive control of the aeration tank dissolved oxygen. Firstly, we analyze anomaly data processing and correlation of the data which collected from the DCS system, and obtain the main factors that affect the aeration tank is the dissolved oxygen DO.The structure of the aeration tank DO dynamic model is determined. After modeling and verified the model, the results show that the model can predict the aeration tank dissolved oxygen well. Secondly, according to the characteristics of the aeration tank reaction process, Dynamic Matrix Control (DMC) technology is used to control the dissolved oxygen in the aeration process. The simulation studies are conducted with the MATLAB. The best control parameters of DMC controller are determined, which shows that the designed DMC control algorithm can effectively control the dissolved oxygen in the aeration tank. |
