Abstract
In this paper we address the problem of pressure management in water supply system (WSS) network. The model-based predictive control (MPC) strategies have some important features to deal with WSS. By hydraulic analysis of WSS, the predictive model is derived from the dynamic model and static model of WSS. Through WSS, the consumers’ demands are required to be met at all times according to some operational constraints that must be satisfied. The constraints of flow through actuators, the water level of reservoirs and the consumer areas’ pressure demand are determined by a specific system. In this work, we develop a constrained MPC controller that considers the zone control of the pressure outputs and incorporates steady state economic targets in the control cost function. The designed management strategies are applied to a case study and simulation results, covering different aspects, are provided. The output nodal pressure can be controlled in the desired zone by optimal scheduling the actuators of the WSS. If the variation range of reservoir’s water level is broader, the rate of flow through the actuators is gentle, and vice versa.
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This work was supported by National Natural Science Foundation of China (Nos. 61233004 and 61221003), the National Basic Research Program of China (973 Program) (No. 2013CB035500), and the Higher Education Research Fund for the Doctoral Program of China (No. 20120073130006).
Dong-Ming Liu graduated from Jiangsu University, China in 2002. She received the M. Sc. degree from Jiangsu University, China in 2005. She is currently working in Changzhou Institute of Light Industry Technology and is currently a Ph. D. degree candidate in control engineering in the Department of Automation, Shanghai Jiao Tong University, China.
Her research interests include system modelling, and the control and optimization of large scale systems
ORCID iD: 0000-0002-1371-9300
Shao-Yuan Li received the B. Sc. and M. Sc. degrees in automation from Hebei University of Technology, Tianjin, China in 1987 and 1992, respectively, and the Ph.D. degree from the Department of Computer and System Science, Nankai University, China in 1997. He is currently a professor with the Department of Automation, Shanghai Jiao Tong University, China.
His research interests include fuzzy systems, model predictive control, dynamic system optimization, and system identification.
ORCID iD: 0000-0003-3427-2912
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Liu, DM., Li, SY. Predictive zone control of pressure management for water supply network systems. Int. J. Autom. Comput. 13, 607–614 (2016). https://doi.org/10.1007/s11633-015-0935-5
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DOI: https://doi.org/10.1007/s11633-015-0935-5