Improving Operation of a Main Irrigation Canal Suffering from Inflow Fluctuation within a Centralized Model Predictive Control System: Case Study of Roodasht Canal, Iran
Publication: Journal of Irrigation and Drainage Engineering
Volume 142, Issue 11
Abstract
Methods of handling drastic inflow fluctuations without any constructional changes in the canal or the off-take structures are studied. Regarding the operational problem, automation of the regulating structures in the main canal is proposed. To this end, a centralized model predictive controller (MPC) is designed to achieve better operational performance in combination with an in-line water storage strategy. The controller is tested in a wide range of operational conditions, representing conventional operation, operation under predictable and unpredictable inflow fluctuations, and operation with and without water storing capabilities within the canal. The test bench is an accurate mathematical model of a canal consisting of five water regulators and seven off-takes. The results show significant improvement for canal operations employing automation. For the predictablefluctuations scenario, the results show that the stored water within the canal effectively handles the fluctuation. Compared to the conventional canal operation scenario, calculated evaluation performance indicators show an approximately 21% improvement for the maximum absolute error (MAE) and a 12% enhancement for the integral magnitude of absolute error (IAE).
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Acknowledgments
Financial support by the Esfahan Regional Water Authority by means of Research Project No. 94/117 is gratefully acknowledged.
References
Burt, C. M. (2013). “The irrigation sector shift from construction to modernization: What is required for success?” Irrig. Drain., 62(3), 247–254.
Burt, C. M., Mills, R. S., Khalsa, R. D., and Ruiz, V. C. (1998). “Improved proportional-integral (PI) logic for canal automation.” J. Irrig. Drain. Eng., 53–57.
Camacho, E. F., and Bordons, C. (2004). Model predictive control in the process industry, Springer, London.
Chambers, R. (1986). “Canal irrigation at night.” Irrig. Drain. Syst., 1(1), 45–73.
Clemmens, A. J. (2012). “Water-level difference controller for main canals.” J. Irrig. Drain. Eng., 1–8.
Clemmens, A. J., Kacerek, T. F., Grawitz, B., and Schuurmans, W. (1998). “Test cases for canal control algorithms.” J. Irrig. Drain. Eng., 23–30.
Clemmens, A. J., and Schuurmans, J. (2004). “Simple optimal downstream feedback canal controllers: Theory.” J. Irrig. Drain. Eng., 26–34.
Fele, F., Maestre, J. M., Hashemy, S. M., Muñoz de la Peña, D., and Camacho, E. F. (2014). “Coalitional model predictive control of an irrigation canal.” J. Process Control, 24(4), 314–325.
Gómez, M., Rodellar, J., and Mantecón, J. A. (2002). “Predictive control method for decentralized operation of irrigation canals.” Appl. Math. Modell., 26(11), 1039–1056.
Guan, G., Clemmens, A. J., Kacerek, T. F., and Wahlin, B. T. (2011). “Applying water-level difference control to central Arizona project.” J. Irrig. Drain. Eng., 747–753.
Hashemy, S. M., Monem, M. J., Isapoor, S., and Van Overloop, P. J. (2013a). “Using in-line reservoir operational strategy to improve dez main irrigation canal performance.” Irrig. Drain., 62(4), 458–467.
Hashemy, S. M., Monem, M. J., Maestre, J. M., and Van Overloop, P. J. (2013b). “Application of an in-line storage strategy to improve the operational performance of main irrigation canals using model predictive control.” J. Irrig. Drain. Eng., 635–644.
Hashemy Shahdany, S. M., Maestre, J. M., and van Overloop, P. J. (2015). “Equitable water distribution in main irrigation canals with constrained water supply.” Water Resour. Manage., 29(9), 3315–3328.
Hashemy, S., and Van Overloop, P. (2013). “Applying decentralized water level difference control for operation of the DEZ main canal under water shortage.” _J. Irrig. Drain Eng., 1037–1044.
Horváth, K., Galvis, E., Valentín, M. G., and Rodellar, J. (2010). “Comparison of two control algorithms based on different canal models using numerical simulation and experiments on a laboratory canal.” Proc., 10th Int. Conf. on Hydroinformatics, International Association for Hydraulic Research (IAHR), Hamburg, Germany, 8.
Horváth, K., Galvis, E., Valentín, M. G., and Rodellar, J. (2015). “New offset-free method for model predictive control of open channels.” Control Eng. Pract., 41(1), 13–25.
Maestre, J. M., and Negenborn, R. R. E. (2014). Distributed model predictive control made easy, Springer, Dordrecht, Netherlands.
Maestre, J. M., Raso, L., Van Overloop, P. J., and De Schutter, B. (2013). “Distributed tree-based model predictive control on a drainage water system.” J. Hydroinf., 15(2), 335–347.
Maestre, J. M., van Overloop, P. J., Hashemy, S. M., Sadowska, A. D., and Camacho, E. F. (2014). “Human in the loop model predictive control: An irrigation canal case study.” Proc., 53rd IEEE Conf. on Decision and Control, IEEE, Los Angeles, 4881.
Malaterre, P.-O., Rogers, D. C., and Schuurmans, J. (1998). “Classification of canal control algorithms.” J. Irrig. Drain. Eng., 3–10.
Negenborn, R. R., van Overloop, P. J., Keviczky, T., and De Schutter, B. (2009). “Distributed model predictive control for irrigation canals.” J. Networks Heterogen. Media, 4(2), 359–380.
Sadowska, A., van Overloop, P. J., Burt, C., and De Schutter, B. (2014). “Hierarchical operation of water level controllers: Formal analysis and application on a large scale irrigation canal.” Water Resour. Manage., 28(14), 4999–5019.
Schuurmans, J., Hof, A., Dijkstra, S., Bosgra, O. H., and Brouwer, R. (1999). “Simple water level controller for irrigation and drainage canals.” J. Irrig. Drain. Eng., 189–195.
Schuurmans, W., Brouwer, R., and Wonink, P. (1992). “Identification of control system for canal with night storage.” J. Irrig. Drain. Eng., 360–369.
Shahdany, S. M. H., and Roozbahani, A. (2016). “Selecting an appropriate operational method for main irrigation canals within multicriteria decision-making methods.” J. Irrig. Drain. Eng., 04015064.
van Overloop, P. J. (2006). “Drainage control in water management of polders in the Netherlands.” Irrig. Drain. Syst., 20(1), 99–109.
van Overloop, P. J., Clemmens, A. J., Strand, R. J., Wagemaker, R. M. J., and Bautista, E. (2010a). “Real-time implementation of model predictive control on maricopa-stanfield irrigation and drainage district’s WM canal.” J. Irrig. Drain. Eng., 747–756.
van Overloop, P. J., Maestre, J. M., Hashemy, S. M., Sadowska, A. D., Davids, J. C., and Camacho, E. F. (2014a). “Human in the loop control of dez main canal.” Planning, operation and automation of irrigation delivery systems, B. T. Wahlin, C. M. Burt, and S. S. Anderson, eds., U.S. Committee on Irrigation and Drainage, Phoenix, 307–320.
van Overloop, P. J., Negenborn, R. R., Schutter, B. D., and Giesen, N. C. (2010b). “Predictive control for national water flow optimization in the Netherlands.” Intelligent infrastructures, R. R. Negenborn, Z. Lukszo, and H. Hellendoorn, eds., Springer, Dordrecht, the Netherlands, 439–461.
van Overloop, P. J., Schuurmans, J., Brouwer, R., and Burt, C. M. (2005). “Multiple-model optimization of proportional integral controllers on canals.” J. Irrig. Drain. Eng., 190–196.
van Overloop, P.-J., Horváth, K., and Ekin Aydin, B. (2014b). “Model predictive control based on an integrator resonance model applied to an open water channel.” Control Eng. Pract., 27, 54–60.
van Overloop, P.-J., Weijs, S., and Dijkstra, S. (2008). “Multiple model predictive control on a drainage canal system.” Control Eng. Pract., 16(5), 531–540.
Wahlin, B. T. (2004). “Performance of model predictive control on ASCE test canal 1.” J. Irrig. Drain. Eng., 227–238.
Xu, M., van Overloop, P. J., and van de Giesen, N. C. (2011). “On the study of control effectiveness and computational efficiency of reduced Saint-Venant model in model predictive control of open channel flow.” Adv. Water Resour., 34(2), 282–290.
Zafra-Cabeza, A., Maestre, J. M., Ridao, M. A., Camacho, E. F., and Sánchez, L. (2011). “A hierarchical distributed model predictive control approach to irrigation canals: A risk mitigation perspective.” J. Process Control, 21(5), 787–799.
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© 2016 American Society of Civil Engineers.
History
Received: Feb 2, 2016
Accepted: Apr 20, 2016
Published online: Jul 12, 2016
Published in print: Nov 1, 2016
Discussion open until: Dec 12, 2016
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