4.4 Article

ALGORITHM FOR CANAL GATE OPERATION TO MAINTAIN STEADY WATER LEVELS UNDER ABRUPT WATER WITHDRAWAL

Journal

IRRIGATION AND DRAINAGE
Volume 65, Issue 5, Pages 741-749

Publisher

WILEY-BLACKWELL
DOI: 10.1002/ird.1984

Keywords

automated canal; robust control; transient flow; distributed nodes

Funding

  1. National Natural Science Foundation of China [51579248, 51109112, 51309254]
  2. State Key Laboratory of Hydroscience and Engineering [2015-B-03]
  3. State Key Lab of Water Resources and Hydropower Engineering Science [2014SWG03]
  4. CRSRI [CKWV2014224/KY]
  5. China Institute of Water Resources and Hydropower Research [WR0145B02201500000]

Ask authors/readers for more resources

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 (C) 2016 John Wiley & Sons, Ltd.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available