Control of sludge height in a secondary settler using fuzzy algorithms

被引:32
作者
Traore, Adama
Grieu, Stephane
Thiery, Frederik
Polit, Monique
Colprim, Jesus
机构
[1] Univ Perpignan, Lab Phys APpl & Automat, F-66860 Perpignan, France
[2] Univ Girona, UdG, LEQUIA, Chem & Environm Engn Lab, E-17071 Girona, Catalonia, Spain
关键词
pollution removal process monitoring and control; wastewater treatment plant; secondary settler efficiency; sludge height; fuzzy logic;
D O I
10.1016/j.compchemeng.2006.02.020
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
During the last years, the efficiency of pollution removal and sludge treatment processes are major concerns because of the more restrictive legislation related to nutrient discharge. A key point in the field of activated sludge wastewater treatment plants (WWTPs) is the secondary settler efficiency. In this paper, the COST 624 Simulation Benchmark (model and data) is used to develop a fuzzy controller of the sludge height in the secondary settler. The presented control strategy is based on simple on-line data (influent, removal and recycle flows) and daily analytical values of the sludge volume index (SVI) allowing the fuzzy algorithm to reduce sludge height variations and thus to increase the settling process efficiency. The developed controller has then been adapted and applied to the Cassa de la Selva activated sludge WWTP (Spain) model, with satisfying results. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1235 / 1242
页数:8
相关论文
共 21 条
[1]   Hierarchical fuzzy models within the framework of orthonormal basis functions and their application to bioprocess control [J].
Campello, RJGB ;
Von Zuben, FJ ;
Amaral, WC ;
Meleiro, LAC ;
Maciel, R .
CHEMICAL ENGINEERING SCIENCE, 2003, 58 (18) :4259-4270
[2]   On-line batch process monitoring using dynamic PCA and dynamic PLS models [J].
Chen, JH ;
Liu, KC .
CHEMICAL ENGINEERING SCIENCE, 2002, 57 (01) :63-75
[3]   A knowledge-based approach to the deflocculation problem:: integrating on-line, off-line, and heuristic information [J].
Comas, J ;
Rodríguez-Roda, I ;
Sànchez-Marrè, M ;
Cortés, U ;
Freixó, A ;
Arráez, J ;
Poch, M .
WATER RESEARCH, 2003, 37 (10) :2377-2387
[4]  
Copp B., 2002, The COST Simulation Benchmark-Description and Simulator Manual
[5]  
DAMOTTA M, 2000, 5 INT S GENT, P21
[6]   A model of the settler coupled to the biological reactor [J].
Diehl, S ;
Jeppsson, U .
WATER RESEARCH, 1998, 32 (02) :331-342
[7]  
DUBOIS D, 1996, P INT C FUZZ SYST FU
[8]  
Ekama G. A., 1997, 6 INT ASS WAT QUAL
[9]   Use of the inlet gas composition to control the respiratory quotient in microaerobic bioprocesses [J].
Franzen, CJ ;
Albers, E ;
Niklasson, C .
CHEMICAL ENGINEERING SCIENCE, 1996, 51 (13) :3391-3402
[10]   Precise control of dissolved oxygen in bioreactors - a model-based geometric algorithm [J].
Gomes, J ;
Menawat, AS .
CHEMICAL ENGINEERING SCIENCE, 2000, 55 (01) :67-78