Parameter estimation procedure for complex non-linear systems: calibration of ASM No.1 for N-removal in a full-scale oxidation ditch

被引:15
作者
Abusam, A
Keesman, KJ
van Straten, G
Spanjers, H
Meinema, K
机构
[1] Univ Wageningen, Syst & Control Grp, NL-6703 HD Wageningen, Netherlands
[2] Univ Wageningen, AEST, NL-6700 EV Wageningen, Netherlands
[3] DHV Water BV, NL-3800 Amersfoort, Netherlands
关键词
calibration; carrousel; modelling; oxidation ditches; parameter estimation; ASM No. 1;
D O I
10.2166/wst.2001.0445
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
When applied to large simulation models, the process of parameter estimation is also called calibration. Calibration of complex non-linear systems, such as activated sludge plants, is often not an easy task. On the one hand, manual calibration of such complex systems is usually time-consuming, and its results are often not reproducible. On the other hand, conventional automatic calibration methods are not always straightforward and often hampered by local minima problems. In this paper a new straightforward and automatic procedure, which is based on the response surface method (RSM) for selecting the best identifiable parameters, is proposed. In RSM, the process response (output) is related to the levels of the input variables in terms of a first- or second-order regression model. Usually, RSM is used to relate measured process output quantities to process conditions. However, in this paper RSM is used for selecting the dominant parameters, by evaluating parameters sensitivity in a predefined region. Good results obtained in calibration of A SM No.1 for N-removal in a full-scale oxidation ditch proved that the proposed procedure is successful and reliable.
引用
收藏
页码:357 / 365
页数:9
相关论文
共 11 条
[1]  
Abusam A., 1999, MED FAC LANDBOUW U G, V65, P91
[2]  
ABUSAM A, 1999, UNPUB WATER RES
[3]  
Box G, 1987, EMPIRICAL MODEL BUIL
[4]  
*DHV WAT BV, 1993, DOSS GB112 10 1001
[5]  
Henze M., 1987, ACTIVATED SLUDGE MOD
[6]  
KEESMAN KJ, 1996, P WORL C 96 MONTP FR, V1, P116
[7]  
Lukasse L.J. S., 1996, Proceedings of 13th IFAC World Congress, VN., P485
[8]  
LUKASSE LJS, 1997, P 11 IFAC S SYST ID, V3, P1525
[9]  
Myers R. H., 1995, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, DOI DOI 10.2307/1270613
[10]  
Tackacs I., 1991, WATER RES, V25, P1263