Real-time control of soil moisture for efficient irrigation

Thesis: M. Eng., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2017.

Bibliographic Details
Main Author: Harper, Samantha (Samantha E.)
Other Authors: Dennis McLaughlin.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2017
Subjects:
Online Access:http://hdl.handle.net/1721.1/111509
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author Harper, Samantha (Samantha E.)
author2 Dennis McLaughlin.
author_facet Dennis McLaughlin.
Harper, Samantha (Samantha E.)
author_sort Harper, Samantha (Samantha E.)
collection MIT
description Thesis: M. Eng., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2017.
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spelling mit-1721.1/1115092019-04-09T17:21:27Z Real-time control of soil moisture for efficient irrigation Harper, Samantha (Samantha E.) Dennis McLaughlin. Massachusetts Institute of Technology. Department of Civil and Environmental Engineering. Massachusetts Institute of Technology. Department of Civil and Environmental Engineering. Civil and Environmental Engineering. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2017. Cataloged from PDF version of thesis. Page 52 blank. Includes bibliographical references (pages 31-34). In the field of precision irrigation control, two classes of controllers have emerged - classical controllers and model based controllers. The most widely-used real-time closed-loop controller is a bang-bang controller that applies water at a predetermined rate, duration, and minimum soil moisture. Due to the ease of installation of soil moisture sensors, this technology has been installed around the world. There have been few studies on altering the controller used with this existing infrastructure. This thesis articulates a model for using a real-time proportional-integral-derivative (PID) controller to minimize water use using HYDRUS- 1D, a software package for simulating the one-dimensional movement of water, heat, and solutes in porous media, to simulate soil moisture. In a direct comparison between the two controllers, the PID controller uses less water. However, small violations of the target soil moisture and optimization of the PID parameters present the current barrier to implementation of this technology. Maintaining soil moisture at or above minimal depletion is critical to support crop health throughout a growing season. PID controllers offer a mid-point between the simplistic bang-bang controllers and the model based controllers that require large datasets, wireless network infrastructure, and robust computing systems. With proper calibration, PID controllers can be implemented in the field with the same sensors that are widely used with bang-bang controllers resulting in a reduction of water use in regions where water is scarce. by Samantha Harper. M. Eng. 2017-09-15T15:37:19Z 2017-09-15T15:37:19Z 2017 2017 Thesis http://hdl.handle.net/1721.1/111509 1003324142 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 52 pages application/pdf Massachusetts Institute of Technology
spellingShingle Civil and Environmental Engineering.
Harper, Samantha (Samantha E.)
Real-time control of soil moisture for efficient irrigation
title Real-time control of soil moisture for efficient irrigation
title_full Real-time control of soil moisture for efficient irrigation
title_fullStr Real-time control of soil moisture for efficient irrigation
title_full_unstemmed Real-time control of soil moisture for efficient irrigation
title_short Real-time control of soil moisture for efficient irrigation
title_sort real time control of soil moisture for efficient irrigation
topic Civil and Environmental Engineering.
url http://hdl.handle.net/1721.1/111509
work_keys_str_mv AT harpersamanthasamanthae realtimecontrolofsoilmoistureforefficientirrigation