Design of Large Closed Loop Control Structure for Urban Drainage Systems in the Whole Optimizing Running Process

Article Preview

Abstract:

Urban drainage system involves urban surface runoff, drainage pipeline system and rivers and its dynamic behavior is driven both by natural and artificial forces. There is a lack of appropriate and progressive hydraulic dynamic models for whole urban drainage system, together with much difficulty in collecting operation data, and backwardness of operation control techniques, thereby causing the frequent occurrence of urban flooding, sewage overflow and high energy-consumption of the pump stations. Therefore, it is hard to guarantee the security, reliability and high-efficiency of the operation of the urban drainage networks. To solve these problems, this paper proposed a large closed-loop control system model to achieve multi-objective and comprehensive operation optimization of urban drainage networks, based on the design of a new control model of a progressive system of city runoffs, drainage pipeline network and river tunnels.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1012-1016

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Y.C. Liu, S.J. Zhang, Y.X. Shen, P. Liang, X. Huang and H.C. Shi: China Water & Wastewater Vol. 27 (2011), P. 9.

Google Scholar

[2] G. Yuan, J.Z. Wang and Q.R. Lu: Journal of Hangzhou Dianzi University Vol. 4(2010), P8.

Google Scholar

[3] P. Martin, C. Hubert, L. Pierre, P. Geneviève and B. Richard: Environmental Modeling & Software Vol. 20(2005), P401.

Google Scholar

[4] C.L. Huang, N.S. Hsu. Real-time pumping station operation for an urban drainage system using artificial intelligence[J]. Journal of Taiwan Agricultural Engineering Vol. 58(2012), P64.

Google Scholar

[5] M. Marinaki and M. Papageorgiou: International Journal of Control Vol. 72(1999), P418.

Google Scholar

[6] Y.A. Ermolin: Journal of Irrigation and Drainage Engineering Vol. 122(1996), P145.

Google Scholar

[7] V.O. Peter, W. Steven and S. Dijkstra: Control engineering practice Vol. 16(2008) , P531.

Google Scholar

[8] H.Y. Shi and X.H. Wang: Transactions of China Electrotechnical Society Vol. 18(2003), P79.

Google Scholar

[9] V.A. Matison, A.G. Semenov, K.S. Vasil'Ev, A.P. Matrosov and S.F. Nichitenko: Russian Electrical Engineering Vol. 82(2011) , P7.

Google Scholar

[10] G.P. Tan, X.Y. Ni, X.Q. Liu, C.Y. Qu, and L.Y. Tang: Intelligent Automation and Soft Computing Vol. 18(2012), P783.

Google Scholar

[11] G.P. Tan and Y.H. Li: Chinese Journal of Electronics Vol. 21 (2012), P299.

Google Scholar

[12] G.P. Tan, H. Thorsten: IEEE Transactions on Broadcasting Vol. 53(2007), P297.

Google Scholar

[13] T.Y. Chai: Acta Automatica Sinica Vol. 35(2009), P641.

Google Scholar