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.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 142 • Issue 11 • November 2016
Copyright
© 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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