• DocumentCode
    2575870
  • Title

    Modelling the greenhouse lettuce crop by means of the daily interaction of two independent models

  • Author

    Leal-Enríquez, E. ; Bonilla-Estrada, M.

  • Author_Institution
    Control Automatico, CINVESTAV-IPN, Mexico City, Mexico
  • fYear
    2010
  • fDate
    15-17 Dec. 2010
  • Firstpage
    4667
  • Lastpage
    4672
  • Abstract
    One of the most important works for optimizing the dry matter production in greenhouses is the one done by van Henten. A difficulty for synthesizing the optimal control scheme, proposed by van Henten, it is due to the high non-linearities presented in the van Henten´s model. Because of these high non-linearities, the control law synthesis procedure is a challenging task indeed. In particular, the optimal control law proposed for this model can not be expressed in an explicit way, and it is necessary to solve a nonlinear programming algorithm in each sampling period. In order to tackle this difficulty, in this paper we propose a simplification of the van Henten´s model. This simplification is done in two steps: firstly we separate the van Henten´s model into two independent models: one for the day period and the other one to the night period. Then, we express explicitly the relative growth rate in terms of the environmental variables.
  • Keywords
    crops; greenhouses; nonlinear programming; optimal control; sampling methods; Henten model; control law synthesis; dry matter production; environmental variable; greenhouse lettuce crop; nonlinear programming; optimal control; relative growth rate; sampling period; Agriculture; Air pollution; Analytical models; Approximation methods; Green products; Mathematical model; Optimal control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2010 49th IEEE Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4244-7745-6
  • Type

    conf

  • DOI
    10.1109/CDC.2010.5717651
  • Filename
    5717651