Integration of model-predictive scheduling, dynamic real-time optimization and output tracking for a wastewater treatment process

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 11, Issue PART 1, 2010, Pages 90-95

  Elixmann, David ^a   Busch, Jan ^b   Marquardt, Wolfgang ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

^b BAYER AG   (Germany)

Author keywords

Dynamic real time optimization; Hierarchical control; Membrane bioreactor; Model predictive control; Optimal control; Scheduling; State estimation; Wastewater treatment

Indexed keywords

BIOREACTORS; MEMORY ARCHITECTURE; MODEL PREDICTIVE CONTROL; RECLAMATION; SCHEDULING; STATE ESTIMATION; WASTEWATER TREATMENT;

DISCRETE-CONTINUOUS PROBLEMS; HIERARCHICAL CONTROL; HIERARCHICAL CONTROL ARCHITECTURE; MEMBRANE BIOREACTOR; OPTIMAL CONTROLS; REAL-TIME OPTIMIZATION; WASTEWATER TREATMENT PLANTS; WASTEWATER TREATMENT PROCESS;

SEWAGE TREATMENT PLANTS;

EID: 80051891007     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20100707-3-BE-2012.0042     Document Type: Conference Paper

References (15)

1. AVT.PT Process Systems Engineering (2009). DyOS User's Guide, release 2.3. RWTH Aachen University, Germany.
2. Busch, J., Oldenburg, J., Santos, M., Cruse, A., and Marquardt, W. (2007). Dynamic predictive scheduling of operational strategies for continuous processes using mixed-logic dynamic optimization. Comput. Chem. Eng., 31(5-6), 574-587. (Pubitemid 46282073)
3. Busch, J., Kühl, P., Schlöder, J.P., Bock, H.G., and Marquardt, W. (2009). State estimation for large-scale wastewater treatment plants. In ADCHEM09 Symposium on advanced control of chemical processes, July 11-15, 2009.
4. Flores-Tlacuahuac, A. and Grossmann, I.E. (2006). Simultaneous cyclic scheduling and control of a multiproduct CSTR. Ind. Eng. Chem. Res., 45, 6698-6712. (Pubitemid 44562338)
5. Gesthuisen, R., Klatt, K.U., and Engell, S. (2001). Optimization-based state estimation - a comparative study for the batch polycondensation of polyethyleneterephthalate. In Preprints of European Control Conference, Porto, Portugal, 1062-1067.
6. Gujer, W., Henze, M., Mino, T., and van Loosdrecht, M. (1999). Activated Sludge Model No. 3. Wat. Sci. Tech., 39(1), 183-193.
7. Harjunkoski, I., Nyström, R., and Horch, A. (2009). Integration of scheduling and control-theory or practice? Comput. Chem. Eng., 33(12), 1909 - 1918.
8. Helbig, A., Abel, O., and Marquardt, W. (2000). Structural concepts for optimization based control of transient processes. In F. Allgöwer and A. Zheng (eds.), NMPC - Assessment and Future Directions, Ascona, Switzerland, 3.-5.6.1998.
9. Oldenburg, J., Marquardt, W., Heinz, D., and Leineweber, D.B. (2003). Mixed-logic dynamic optimization applied to batch distillation process design. AIChE J., 49(11), 2900-2917. (Pubitemid 37444344)
10. Prata, A., Oldenburg, J., Kroll, A., and Marquardt, W. (2008). Integrated scheduling and dynamic optimization of grade transitions for a continuous polymerization reactor. Comput. Chem. Eng., 32(3), 463-476.
11. PSE Ltd., London, UK (2004). gPROMS 3.0.4 Introductory User Guide.
12. Qin, S.J. and Badgwell, T.A. (2003). A survey of industrial model predictive control technology. Control Eng. Pract., 11, 733-764. (Pubitemid 36906334)
13. Schlegel, M., Stockmann, K., Binder, T., and Marquardt, W. (2005). Dynamic optimization using adaptive control vector parameterization. Comput. Chem. Eng., 29(8), 1731-1751. (Pubitemid 41054210)
14. Tatjewski, P. (2008). Advanced control and on-line process optimization in multilayer structures. Annu. Rev. Control, 32(1), 71 - 85.
15. Würth, L., Hannemann, R., and Marquardt, W. (2009). Neighboring-extremal updates for nonlinear modelpredictive control and dynamic real-time optimization. J. Process Cont., 19, 1277-1288.