Experimental design of an optimal phase duration control strategy used in batch biological wastewater treatment

被引:32
作者
Pavselj, N [1 ]
Hvala, N [1 ]
Kocijan, J [1 ]
Ros, M [1 ]
Subelj, M [1 ]
Music, G [1 ]
Strmcnik, S [1 ]
机构
[1] Jozef Stefan Inst, SI-1000 Ljubljana, Slovenia
关键词
optimal control; real-time control; signal filtering; experimental environment; biological wastewater treatment; sequencing batch reactor (SBR);
D O I
10.1016/S0019-0578(00)00042-2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The paper presents the design of an algorithm used in control of a sequencing batch reactor (SBR) for wastewater treatment. The algorithm is used for the on-line optimization of the batch phases duration which should be applied due to the variable input wastewater. Compared to an operation with fixed times of batch phases, this kind of a control strategy improves the treatment quality and reduces energy consumption. The designed control algorithm is based on following the course of some simple indirect process variables (i.e. redox potential, dissolved oxygen concentration and pH), and automatic recognition of the characteristic patterns in their time profile. The algorithm acts on filtered on-line signals and is based on heuristic rules. The control strategy was developed and tested on a laboratory pilot plant. To facilitate the experimentation. the pilot plant was superimposed by a computer-supported experimental environment that enabled: (i) easy access to all data (on-line signals, laboratory measurements, batch parameters) needed for the design of the algorithm, (ii) the immediate application of the algorithm designed off-line in the Matlab (TM) package also in real-time control. When testing on the pilot plant, the control strategy demonstrated good agreement between the proposed completion times and actual terminations of the desired biodegradation processes. (C) 2001 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:41 / 56
页数:16
相关论文
共 14 条
[1]   Framework for transputer-based control architectures [J].
Avizzano, CA ;
Bergamasco, M .
ARCHITECTURES, NETWORKS, AND INTELLIGENT SYSTEMS FOR MANUFACTURING INTEGRATION, 1997, 3203 :152-159
[4]   OXIDATION REDUCTION POTENTIAL (ORP) REGULATION AS A WAY TO OPTIMIZE AERATION AND C-REMOVAL, N-REMOVAL AND P-REMOVAL - EXPERIMENTAL BASIS AND VARIOUS FULL-SCALE EXAMPLES [J].
CHARPENTIER, J ;
GODART, H ;
MARTIN, G ;
MOGNO, Y .
WATER SCIENCE AND TECHNOLOGY, 1989, 21 (10-11) :1209-1223
[5]   NDBEPR PROCESS OPTIMIZATION IN SBRS - REDUCTION OF EXTERNAL CARBON SOURCE AND OXYGEN-SUPPLY [J].
DEMUYNCK, C ;
VANROLLEGHEM, P ;
MINGNEAU, C ;
LIESSENS, J ;
VERSTRAETE, W .
WATER SCIENCE AND TECHNOLOGY, 1994, 30 (04) :169-179
[6]  
*MATHW, 1999, MATLAB COMP US GUID
[7]   Real-time control of nitrogen removal using three ORP bending-points: Signification, control strategy and results [J].
PlissonSaune, S ;
Capdeville, B ;
Mauret, M ;
Deguin, A ;
Baptiste, P .
WATER SCIENCE AND TECHNOLOGY, 1996, 33 (01) :275-280
[8]  
RYCKAERT VG, 1998, EUROPEAN WATER MANAG, V1, P44
[9]   SIMULTANEOUS REMOVAL OF NITROGEN AND PHOSPHORUS IN INTERMITTENTLY AERATED 2-TANK ACTIVATED-SLUDGE PROCESS USING DO AND ORP-BENDING-POINT CONTROL [J].
SASAKI, K ;
YAMAMOTO, Y ;
TSUMURA, K ;
HATSUMATA, S ;
TATEWAKI, M .
WATER SCIENCE AND TECHNOLOGY, 1993, 28 (11-12) :513-521
[10]  
SUBELJ M, 1997, 7 INT WORKSH INSTR C, P498