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Modeling and control for closed environment plant production systemsA computer program was developed to study multiple crop production and control in controlled environment plant production systems. The program simulates crop growth and development under nominal and off-nominal environments. Time-series crop models for wheat (Triticum aestivum), soybean (Glycine max), and white potato (Solanum tuberosum) are integrated with a model-based predictive controller. The controller evaluates and compensates for effects of environmental disturbances on crop production scheduling. The crop models consist of a set of nonlinear polynomial equations, six for each crop, developed using multivariate polynomial regression (MPR). Simulated data from DSSAT crop models, previously modified for crop production in controlled environments with hydroponics under elevated atmospheric carbon dioxide concentration, were used for the MPR fitting. The model-based predictive controller adjusts light intensity, air temperature, and carbon dioxide concentration set points in response to environmental perturbations. Control signals are determined from minimization of a cost function, which is based on the weighted control effort and squared-error between the system response and desired reference signal.
Document ID
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Fleisher, David H.
(Rutgers University New Brunswick, NJ 08901-8500, United States)
Ting, K. C.
Janes, H. W.
Date Acquired
August 21, 2013
Publication Date
January 1, 2002
Publication Information
Publication: Acta horticulturae
Volume: 593
ISSN: 0567-7572
Subject Category
Man/System Technology And Life Support
Funding Number(s)
Distribution Limits
NASA Discipline Life Support Systems
Non-NASA Center

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