Broiler Growth Optimization using Norm Optimal Terminal Iterative Learning Control

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Abstract

Broiler (chicken for meat production) growth maximization reduces the amount of feed, water and electricity required to produce a mature broiler where temperature control is one of the most influential factors. Iterative learning control provides a potential solution given the repeated nature of the production process, as it has been especially developed for systems that make repeated executions of the same finite duration task. Dynamic neural network models are used given the absence of mathematical models of the growth process. Traditional ILC is modified to maximize the terminal broiler weight and better cope with the uncertain nature of the data driven model. To evaluate the proposed algorithm in simulation, a heuristic broiler growth model based on the knowledge of a broiler application expert is formalized. This paper gives the first results on the application of optimization based iterative learning control.
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Broiler (chicken for meat production) growth maximization reduces the amount of feed, water and electricity required to produce a mature broiler where temperature control is one of the most influential factors. Iterative learning control provides a potential solution given the repeated nature of the production process, as it has been especially developed for systems that make repeated executions of the same finite duration task. Dynamic neural network models are used given the absence of mathematical models of the growth process. Traditional ILC is modified to maximize the terminal broiler weight and better cope with the uncertain nature of the data driven model. To evaluate the proposed algorithm in simulation, a heuristic broiler growth model based on the knowledge of a broiler application expert is formalized. This paper gives the first results on the application of optimization based iterative learning control.
Original languageEnglish
Title of host publication2018 IEEE Conference on Control Technology and Applications (CCTA)
Number of pages7
PublisherIEEE
Publication dateAug 2018
Pages1258-1264
ISBN (Print) 978-1-5386-7699-8
ISBN (Electronic)978-1-5386-7698-1
DOI
Publication statusPublished - Aug 2018
Publication categoryResearch
Peer-reviewedYes
Event2018 IEEE Conference on Control Technology and Applications (CCTA) - The Scandic Hotel Copenhagen, Copenhagen, Denmark
Duration: 21 Aug 201824 Aug 2018

Conference

Conference2018 IEEE Conference on Control Technology and Applications (CCTA)
LocationThe Scandic Hotel Copenhagen
LandDenmark
ByCopenhagen
Periode21/08/201824/08/2018

    Research areas

  • Iterative learning control, Biosystems, Neural networks

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