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Research on Predictive Controlof Wastewater Based on Particle Swarm Optimization

Author: ZhengMeiLing
Tutor: WangQingChao
School: Harbin Institute of Technology
Course: Chemical Process Equipment
Keywords: Sewage treatment Dissolved oxygen concentration By SBR Generalized Predictive Control Particle swarm optimization
CLC: X703
Type: Master's thesis
Year: 2010
Downloads: 105
Quote: 0
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Abstract


The activated sludge wastewater treatment method is an activated sludge microorganisms to remove pollutants in wastewater sequence activated sludge sewage treatment method ( SBR ) is the most widely deployed at this stage . SBR method , compared with the traditional treatment method in time and space are intermittent, the participation of microbial growth in the reaction process and degradation of pollutants require oxygen , i.e. the concentration of dissolved oxygen (DO) of the aeration tank directly affect sewage treatment effect is generally believed that the DO 2.00mg / L sewage treatment works best , so this article will DO as the amount charged for SBR wastewater treatment system control output DO value has been maintained at 2.00mg / L . First mathematical modeling system for SBR wastewater treatment process and confirmed its effectiveness . By mechanistic models were established PID controller and generalized predictive controller to control the simulation and to make a comparison . Generalized Predictive Control (GPC) inherently predictive control and adaptive control of the advantages of these two control methods . The multi-step prediction and online identification function . As can be seen by the simulation results of the two controllers GPC than in terms of the PID output is more stable , smaller overshoot , this result may illustrate the sewage treatment system has the characteristics of nonlinear, strong coupling , GPC control effect it is more effective , and can achieve the effect of energy saving . Although generalized predictive control performance reached a basic control standards , but in order to improve the accuracy of the output , so that the super- reduced small , generalized predictive control rolling optimization add particle swarm optimization , and simulation and basic generalized predictive controller not care about, the overshoot by original 0.35mg / L reduced to 0.15mg / L , the control effect was significantly changed for the better , indicating that the search speed of the particles in the whole go area , search accuracy greatly improved . After many simulation comparing the concentration of dissolved oxygen is always stable generalized predictive control based on particle swarm algorithm for SBR wastewater treatment 2.00mg / L range , no overshoot , sewage treatment system in the most energy-intensive part of the aeration pool , accounting for 50% of the energy consumption of the entire system , the effect of this control has been fully able to achieve energy efficiency and has laid a good foundation for further study in the future .

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CLC: > Environmental science, safety science > Processing and comprehensive utilization of waste > General issues > Wastewater treatment and utilization
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