Water Supply Network System Control Based on Model Predictive Control

被引:2
作者
Abdulrahman A. [1 ]
Nasher N. [2 ]
机构
[1] Mechanical Engineering Department, Faculty of Engineering, Sana ‘a University
[2] Civil Engineering Department, Faculty of Engineering, University of Science and Technology
关键词
Constraints; Model predictive control; Water supply system;
D O I
10.1016/S1018-3639(18)30499-9
中图分类号
学科分类号
摘要
An increasing demand for water due to population growth, industrial development and improvement of economic require management of water transfer and improved operation of water supply systems. This paper considers the application of a controller that is approved to be robust to improve the behavior of the water network supply system, to maintain stable operation of the water flow rate, and reduce the operational cost by manipulating the pump speed. The model predictive control (MPC) algorithm is one of the most common automatic control system that has got a wide spread application in process industry. The results show that the MPC technique gives improved performance over the PID control technique. Moreover, the MPC structure can be modified to handle the constraints applied on the system. © 2010 King Saud University
引用
收藏
页码:119 / 126
页数:7
相关论文
共 18 条
  • [1] Abdulrahman A., Soudan M., Mokbel A., Soufian M., Neural Network for Model Based Predictive Control of a Polymerization Reactor, Proceedings of the 4th International Conference on Recent Advances in Soft Computing (RASC 2002), (2002)
  • [2] Ali E., Zafiriou E., Optimization-based Tuning of Nonlinear Model Predictive Control with State Estimation, Journal of Process Control, 3, 2, pp. 97-107, (1993)
  • [3] Biscos C., Mulholland M., Lann M.-V., Le Buckley C.A., Brouckaert C.J., Optimal Operation of Water Distribution Networks by Predictive Control Using MINLP, Water S. A., 29, 4, pp. 393-404, (2003)
  • [4] Cembrano G., Wells G., Quevedo J., Perez R., Argelaguet R., Optimal Control of a Water Distribution Network in a Supervisory Control System, Control Eng. Pract., 6, pp. 1177-1188, (2000)
  • [5] Clarke D.W., Mohtadi C., Tuffs P.S., Generalized Predictive Control - Part I, the Basic Algorithm, Automatica, 23, 2, pp. 137-148, (1987)
  • [6] Clarke D.W., Mohtadi C., Tuffs P.S., Generalized Predictive Control - Part II, Extensions and Interpretations, Automatica, 23, 2, pp. 149-160, (1987)
  • [7] Creasey J.D., Pump Scheduling in Water Supply: More Than a Mathematical Problem, Computer Application in Water Supply, Vol. 2: Systems Optimization and Control, pp. 279-289, (1988)
  • [8] Cunha M.C., Sousa J., Water Distribution Network Design Optimz'zation: Simulated Annealing Approach, J. Water Resour. Planning and Manage., 125, 4, pp. 215-226, (1999)
  • [9] Cutler C.R., Ramaker B.L., Dynamic Matrix Control Algorithm, 86th AIChE National Meeting, (1978)
  • [10] Dawkins J., Briggs P.A.N., A Method for Using Weighting Functions as System Description in Optimal Control, IF AC Symposium on Self-adaptive Control Systems, (1965)