Holistic control system design for large mobile irrigation machines

McCarthy, Alison ORCID: https://orcid.org/0000-0003-4595-6447 and Hancock, Nigel and Raine, Steven (2015) Holistic control system design for large mobile irrigation machines. In: Machine vision and mechatronics in practice. Springer-Verlag, Heidelberg, Germany, pp. 177-184. ISBN 978-3-662-45513-5

Abstract

Large mobile irrigation machines are self-propelled sprinkler irrigation systems which farmers are rapidly adopting due to the high precision of the irrigation application. Although it is highly desirable that control systems be used with such machines to both optimise the irrigation water volume applied to field crops and optimise water use efficiency, there are difficulties in applying classical control techniques. These are caused principally by the very slow speed of crop growth-response and stress-response dynamics; but in addition characteristics of the plant which are poorly known and in-field sensors which provide only sparse, low-quality data for feedback control.
This paper outlines the operation of large mobile irrigation machines, analyses the limitations in the application of classical control approaches for their optimal use, and describes the methods that have been used to implement whole-system control via alternative (adaptive) approaches. These involve accommodation of sparse and unreliable input data and the application and evaluation of a range of irrigation volumes on different sub-areas of the field as on-the-go local system identification.

Statistics for this ePrint Item

Item Type:	Book Chapter (Commonwealth Reporting Category B)
Refereed:	Yes
Item Status:	Live Archive
Additional Information:	© Springer-Verlag Berlin Heidelberg 2015. Permanent restricted access to published version due to publisher copyright policy. Includes the best papers of the 20th International Conference on Mechatronics and Machine Vision in Practice held in Ankara, Turkey, September 18-20 September 2013, the 18th held in Brisbane December 6-7 2011 and the 16th held in Brunei June 22-24 2010.
Faculty/School / Institute/Centre:	Current - Faculty of Health, Engineering and Sciences - No Department (1 Jul 2013 -)
Faculty/School / Institute/Centre:	Current - Faculty of Health, Engineering and Sciences - No Department (1 Jul 2013 -)
Date Deposited:	23 Mar 2015 23:53
Last Modified:	30 Aug 2017 00:33
Uncontrolled Keywords:	adaptive control; automation; variable rate irrigation; centre pivots; lateral moves
Fields of Research (2008):	09 Engineering > 0906 Electrical and Electronic Engineering > 090602 Control Systems, Robotics and Automation 09 Engineering > 0913 Mechanical Engineering > 091302 Automation and Control Engineering 07 Agricultural and Veterinary Sciences > 0799 Other Agricultural and Veterinary Sciences > 079901 Agricultural Hydrology (Drainage, Flooding, Irrigation, Quality, etc.)
Fields of Research (2020):	40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400799 Control engineering, mechatronics and robotics not elsewhere classified 40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400799 Control engineering, mechatronics and robotics not elsewhere classified 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3002 Agriculture, land and farm management > 300201 Agricultural hydrology
Socio-Economic Objectives (2008):	B Economic Development > 82 Plant Production and Plant Primary Products > 8298 Environmentally Sustainable Plant Production > 829805 Management of Water Consumption by Plant Production
Identification Number or DOI:	https://doi.org/10.1007/978-3-662-45514-2_15
URI:	http://eprints.usq.edu.au/id/eprint/26932

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