|
|
Article: Monitoring of Anoxic/Oxic Process for Nitrogen and Chemical Oxygen Demand Removal Using Fuzzy Neural Networks
- Article from:
- Water Environment Research
- Article date:
- July 1, 2009
- Author:
CopyrightCopyright Water Environment Federation Jul 2009. Provided by ProQuest LLC. (Hide copyright information)
|
ABSTRACT:
In this paper, a software sensor based on a fuzzy neural network (FNN) approach was proposed for the real-time estimation of nutrient concentrations and overcoming the problem of delayed measurements. To improve the FNN performance, fuzzy subtractive clustering was used to identify the model's architecture and optimize the fuzzy rule; meanwhile, a split network structure, applied separately for anaerobic and aerobic conditions, was used with dynamic modeling methods, such as an auto-regressive model with exogenous inputs. The proposed methodology was applied to a bench-scale anoxic/oxic process for biological nitrogen removal. It was possible to partially overcome the ...