基于降维状态观测器的曝气量最优控制仿真研究  

Simulation of aeration optimal control based on the dimensionality reduction observer

作　　者：吴杰[1] 罗健旭[1] 张照生[1] 

机构地区：[1]华东理工大学化工过程先进控制和优化技术教育部重点实验室,上海200237

出　　处：《环境科学学报》2012年第7期1604-1611,共8页Acta Scientiae Circumstantiae

基　　金：国家自然科学基金资助项目(No.60974066)~~

摘　　要：为降低污水处理厂曝气过程的能耗,对曝气系统的优化控制进行了研究.首先,建立了基于活性污泥模型ASM1的曝气系统的简化模型;然后,利用降维状态观测器重构在线不可测状态,提出了基于降维状态观测器的曝气量最优控制策略;最后,将该优化控制策略应用于污水处理基准仿真模型BSM1,仿真采用晴天进水数据.结果表明,与溶解氧的PID控制相比,最优控制在保证出水氨氮浓度和化学需氧量等水质的情况下,降低了曝气量和出水总氮浓度,同时曝气能耗相比PID控制可下降5%以上,并且改善了出水指数.In order to reduce the cost of the aeration energy in wastewater treatment plants（WWTPs）,an optimal control approach of the aeration system was studied.Firstly,a simplified model of aeration system was built according to the Activated Sludge Model No.1（ASM1）.A dimensionality reduction observer was then applied for estimating the unmeasured states in the aeration system.The proposed optimal control based on the dimensionality reduction observer was applied to a benchmark WWTP,the Benchmark Simulation Model 1（BSM1）.In this paper,dry-weather influent data are considered.Compared with PID control strategy of dissolved oxygen recommended by BSM1,the aeration and effluent total nitrogen were reduced;more than 5% of aeration energy was saved while the effluent ammonia and chemical oxygen demands were maintained by applying optimal control.The proposed control strategy also improved the effluent quality index.

关 键 词：溶解氧 BSM1 降维状态观测器 最优控制 

分 类 号：X703.1[环境科学与工程—环境工程]