Subscribe Now Subscribe Today
Science Alert
 
Blue
   
Curve Top
Journal of Applied Sciences
  Year: 2013 | Volume: 13 | Issue: 17 | Page No.: 3528-3532
DOI: 10.3923/jas.2013.3528.3532
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Multi-model Modeling for Activated Sludge Process Based on Clustering Analysis under Benchmark

Wang Qiang, Du Xianjun, Yu Ping and Ma Yongwei

Abstract:
For wastewater treatment processes, a single model suffers from heavy burden calculation and bad accuracy. A modeling method based on ARX (auto-regressive exogenous) multi-model using improved supervised k-means clustering algorithm is proposed. The method introduced the cluster center initialization idea of CCIA algorithm into classical k-means clustering algorithm applied to group the data into clusters or second clustering by judging a preset threshold value. It will improve the clustering results to make better services for the subsequent modeling work. And the least squares method is used to construct ARX sub-models. The system model is constructed by weighting all ARX sub-models. The proposed method is used to identify the ammonia concentration model for wastewater treatment system Benchmark. Simulation results show that the proposed method can be used to fit nonlinear characteristics of the system with high precision.
PDF References Citation Report Citation
How to cite this article:

Wang Qiang, Du Xianjun, Yu Ping and Ma Yongwei, 2013. Multi-model Modeling for Activated Sludge Process Based on Clustering Analysis under Benchmark. Journal of Applied Sciences, 13: 3528-3532.

DOI: 10.3923/jas.2013.3528.3532

URL: https://scialert.net/abstract/?doi=jas.2013.3528.3532

COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 
 
 

Curve Bottom