Applying Decentralized Water Level Difference Control for Operation of the Dez Main Canal under Water Shortage

Hashemy, S. M.; Overloop, P. J. van

doi:10.1061/(asce)ir.1943-4774.0000649

Cited by 19 publications

(2 citation statements)

References 14 publications

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“…Guan et al [14] applied this control strategy with a centralized LQR to a model of the Central Arizona Project (CAP) main canal, with results showing that the method is a promising way to accommodate mismatches in supply and demand through in-canal storage when there is no full control over the canal inflow. Hashemy et al [15] used this kind of control system with a simple PI control plus filter (PIF) method to deal with delivery disturbance with a fixed head gate. Kong et al [16] applied this difference control strategy with a PI control method to a condition in which the inflow is to be changed significantly.…”

Section: Introductionmentioning

confidence: 99%

A Model Predictive Water-Level Difference Control Method for Automatic Control of Irrigation Canals

Kong

Lei

Wang

et al. 2019

Water

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In this paper, automatic control of the water level in an irrigation canal by automatic regulation of intermediate gates was studied. Previous scholars have proposed a water level difference control strategy that works to keep relative deviations in all pools the same for a particular situation where the operator does not have full control over the canal inflow, with the centralized linear quadratic regulator (LQR) control method used. While in practice, the deviation tolerance of pools may differ in some canals which limits the applicability of the control strategy. In this work, a weight coefficient was added to the deviation and the algorithm was improved to keep the relative deviations to certain proportions. The model predictive control (MPC) method was then used with this improved control strategy and was compared to the LQR control method using the same control strategy. The results showed that the improved strategy can keep the water level deviations in all pools to certain proportions, as is our objective. Also, under this difference control strategy, the MPC method greatly improved the control performance compared to the LQR control method.

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Section: Introductionmentioning

confidence: 99%

A Model Predictive Water-Level Difference Control Method for Automatic Control of Irrigation Canals

Kong

Lei

Wang

et al. 2019

Water

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“…SISO (single input and single output)). The errors produced by this incorrect model assumption were illustrated by Bautisa et al (Hashemy and Van Overloop, 2013) in a simulation study of the effect of SISO systems on the control of submerged gate flows. The results of this study have been confirmed by more recent studies (Eurén and Weyer, 2007;Fele et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Algorithm for Canal Gate Operation to Maintain Steady Water Levels Under Abrupt Water Withdrawal

Shang

2016

Irrig. and Drain.

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Most studies on the design of an automated canal pool have produced fairly good results. However, when the designs are extended to multi‐pool canals, there is an inability to eliminate interactions between pools caused by gate start‐up and shutdown. This paper thus proposes a distributed computing gate operation algorithm for eliminating water level fluctuation and controlling the downstream water level of canal pools within a reasonable range. The algorithm was developed using state space equations derived from the complete Saint Venant equations by a finite difference scheme. This paper illustrates the application of the control method to a series of pools bounded by upstream and downstream gates. The effectiveness of the control was also verified by applying it to a laboratory canal, wherein the soft sensor technique was used to simplify communication between the distributed information nodes. The test results confirmed the ability of the proposed method to cope with rapid variations in water demand while maintaining water levels of the controlled pools. Copyright © 2016 John Wiley & Sons, Ltd.

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Equitable Water Distribution in Main Irrigation Canals with Constrained Water Supply

Shahdany

Maestre

Overloop

2015

Water Resour Manage

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In this study a novel configuration of the Water Level Difference Error method is introduced to speed up the error sharing in the context of Model Predictive Control (MPC). The potential application of the controller is examined. The main objective of this controller is fair distribution of water between upstream and downstream users in main canals suffering from water shortages. The scheme uses the Integrator-Delay (ID) model for canal pool responses in a model predictive controller. The designed controller is tested on an accurate simulation model of a large canal system, using four test scenarios. The scenarios suffer from limited water supply conditions that are imposed by a limitation on the canal inflow. The results show fast reactions in equitable sharing of water level deviations from target throughout the canal. Since, all the pools are involved in optimally managing the water shortage, significant improvements in operational performance of the canal are achieved. In addition, the operational performance of the designed controller is remarkably improved by applying a new strategy of target-bands instead of targetlevels in the canal pools as it increases the flexibility of the controller in making appropriate decisions.Keywords Canal automation . Model predictive control . Water level difference error . Fair water distribution Water Resour Manage

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Applying Decentralized Water Level Difference Control for Operation of the Dez Main Canal under Water Shortage

Cited by 19 publications

References 14 publications

A Model Predictive Water-Level Difference Control Method for Automatic Control of Irrigation Canals

A Model Predictive Water-Level Difference Control Method for Automatic Control of Irrigation Canals

Algorithm for Canal Gate Operation to Maintain Steady Water Levels Under Abrupt Water Withdrawal

Equitable Water Distribution in Main Irrigation Canals with Constrained Water Supply

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