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State estimation for a large-scale wastewater treatment system

为一个大规模废水处理系统说评价

作     者:Tenno, R Uronen, P 

作者机构:Lab. of Proc. Control and Management Helsinki University of Technology SF-02150 Espoo Kemistintie 1 Finland 

出 版 物:《AUTOMATICA》 (自动学)

年 卷 期:1996年第32卷第3期

页      面:305-317页

核心收录:

学科分类:0711[理学-系统科学] 0808[工学-电气工程] 07[理学] 08[工学] 070105[理学-运筹学与控制论] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 0701[理学-数学] 071101[理学-系统理论] 

主  题:biotechnology wastewater treatment modelling distributed parameters partially observable stochastic system state estimation 

摘      要:A new distributed parameter stochastic model is introduced for modelling a large-scale wastewater treatment system with distributed water feeding, sludge recycling and removal. The state estimation problem is formulated as a biomass and organic matter profile estimation problem for the aeration basin. It is solved by approximation of the original model with a finite-dimensional bilinear model and the filtration distribution with the normal distribution. It is shown that the profile can be estimated online using dissolved oxygen and gas analysis results measured from several points over the aeration basin. The estimation quality is higher in the case of a large-scale aeration basin than in the case of a completely mixed basin. The estimation algorithm is obtained in a computationally effective form. The model and the estimation algorithm are tested in a simulation experiment. It is demonstrated that the sludge and water distribution has a strong effect on treated water quality. The distribution is considered as a new control parameter. It can be used in practice for improvement of treatment process quality.

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