Flood control of rivers with Model Predictive Control - Proof of concept based on the river Demer in Belgium

Proceedings of the 2010 American Control Conference, ACC 2010

Volumn , Issue , 2010, Pages 2983-2988

  Breckpot, Maarten ^a   Blanco, Toni Barjas ^a   De Moor, Bart ^a  

^a Department of Electrotechnical Engineering ^*  (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

BELGIUM; BUFFER CAPACITY; FLOOD BASINS; FLOOD PREVENTION; HISTORICAL DATA; NON-LINEAR MODEL; POSITION CONTROLLER; PROOF OF CONCEPT; RAINFALL PREDICTION; RIVER MODEL; SIMULATION RESULT; STRONGLY NONLINEAR;

CONTROLLERS; FLOOD CONTROL; FORECASTING; PREDICTIVE CONTROL SYSTEMS; RAIN; RIVER CONTROL;

MODEL PREDICTIVE CONTROL;

EID: 77957787910     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. T. Barjas Blanco, P.Willems, B. De Moor, and J. Berlamont, "Flooding Prevention of the Demer River using Model Predictive Control," in Proceedings of the 17th World Congress The International Federation of Automatic Control, July 6-11 2008.
2. T. Barjas Blanco, P. Willems, J. Berlamont, B. De Moor, K. Cauwenberghs, S. Rombauts, and F. Raymaekers, "Real-time sturing van wachtbekkens," Water, vol. 25, 2006. [Online]. Available: http://www.tijdschriftwater.be/ water25-11HI.pdf.
3. P. Willems, T. Barjas Blanco, P.-K. Chiang, K. Cauwenberghs, J. Berlamont, and B. De Moor, "Evaluation of river flood regulation by means of model predictive control," in 4th International Symposium on Flood Defence: Managing Flood Risk, Reliability and Vulnerability, 2008.
4. D. C. Rogers and J. Goussard, "Canal control algorithms currently in use." Journal of Irrigation and Drainage Engineering, vol. 124, no. 1, pp. 11-15, 1998.
5. E. Camacho and C. Bordons, "Nonlinear Model Predictive Control: an Introductory Survey," in Preprints International Workshop on Assessment and Future Directions of Nonlinear Predictive Control NMPC'05, R. Findeisen, F. Allgöwer, and L. Biegler, Eds., Augustus 2005, pp. 15-30.
6. J. Rossiter, Model-Based Predictive Control: A Practical Approach, R. Bishop, Ed. CRC Press, 2003.
7. S. Qin and T. Badgwell, "A survey of industrial model predictive control technology," Control Engineering Practice, vol. 11, no. 7, pp. 733-764, 2003. [Online]. Available: http://cepac.cheme.cmu.edu/pasilectures/ darciodolak/Review-article-2.pdf.
8. P. van Overloop, "Model Predictive Control of Open Water Systems," Ph.D. dissertation, Technische Universiteit Delft, 2006.
9. V. Ruiz and J. Ramirez, "Predictive Control in Irrigation Canal Operation," IEEE SMC98, vol. 4, pp. 3987-3901, 1998. [Online]. Available: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=726696&isnumber= 15672.
10. T. Thai, "Numerical Methods for Parameter Estimation and Optimal Control for the Red River Network," Ph.D. dissertation, Universität Heidelberg, 2005. [Online]. Available: http://deposit.d-nb.de/cgi-bin/dokserv? idn=975808583&dok-var=d1&dok-ext=pdf&filename=975808583.pdf.
11. G. Vaes, P. Willems, and J. Berlamont, "Het gebruik van bakmodellen voor de voorspelling van de invoer in waterloopmodellen ter plaatse van riooloverstorten," Water, vol. 4, 2002. [Online]. Available: http://viwc.lin.vlaanderen.be/water/ts2002-04-bakmodellen.pdf.
12. T. Barjas Blanco, P. Willems, P.-K. Chiang, K. Cauwenberghs, B. De Moor, and J. Berlamont, Flood Regulation by means of Model Predictive Control. In R.R. Negenborn, Z. Lukszo, J. Hellendoorn, Intelligent Infrastructures, Springer, Dordrecht, The Netherlands, 2009.
13. F. Allgöwer, T. Badgwell, J. Qin, J. Rawlings, and S. Wright, "Nonlinear Predictive Control and Moving Horizon Estimation - Introductory Overview," in Advances in Control, Highlights of ECC'99, ser. Springer, 1999, pp. 391-449.
14. M. Breckpot, Overstromingsbeheersing van de Demer met Model Predictieve Controle, Thesis, Katholieke Universiteit Leuven, 2009.
15. P. van Overloop, S. Weijs, and S. Dijkstra, "Multiple Model Predictive Control on a drainage canal system," Control Engineering Practice, vol. 16, no. 5, pp. 531-540, May 2008.
16. C. Rao, J. Rawlings, and J. Lee, "Constrained linear state estimationa moving horizon approach," Automatica, vol. 37, pp. 1619-1628, February 2001.
17. C. Rao, J. Rawlings, and D. Mayne, "Constrained state estimation for nonlinear discrete-time systems: Stability and moving horizon approximations," IEEE Transactions on Automatic Control, vol. 48, pp. 246-258, 2003. [Online]. Available: http://ieeexplore.ieee.org/stamp/stamp.jsp? tp=&arnumber=1178905.