Holistic control system design for large mobile irrigation machines

McCarthy, Alison and Hancock, Nigel and Raine, Steven (2010) Holistic control system design for large mobile irrigation machines. In: M2VIP 2010: Annual Conference on Mechatronics and Machine Vision in Practice, 22-24 Jun 2010, Darussalam, Brunei.

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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 and infield sensors which are poorly known and 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.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: No evidence of copyright restrictions.
Depositing User: Ms Alison McCarthy
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering
Date Deposited: 23 Nov 2010 03:28
Last Modified: 02 Jul 2013 23:58
Uncontrolled Keywords: large mobile irrigation machines; irrigation machines; holistic control system
Fields of Research (FOR2008): 07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070103 Agricultural Production Systems Simulation
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.)
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970107 Expanding Knowledge in the Agricultural and Veterinary Sciences
URI: http://eprints.usq.edu.au/id/eprint/8447

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