Identifying a greenhouse climate model by using subspace methods

This paper presents the development of a climate dynamics model for a greenhouse located on the Bogota plateau. A black-box model was estimated from experimental data, considering a novel system structure derived from a first principles model and experimental tests. It considered two control volumes...

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Autores:
Ruiz Palacios, Fredy Orlando
Cotrino Badillo, Carlos Eduardo
Tipo de recurso:
Article of journal
Fecha de publicación:
2010
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/29662
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/29662
http://bdigital.unal.edu.co/19710/
http://bdigital.unal.edu.co/19710/2/
http://bdigital.unal.edu.co/19710/3/
Palabra clave:
estimación paramétrica
identificación por subespacios
dinámica del clima en invernaderos
parametric estimation
subspace identification
greenhouse climate model
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
Description
Summary:This paper presents the development of a climate dynamics model for a greenhouse located on the Bogota plateau. A black-box model was estimated from experimental data, considering a novel system structure derived from a first principles model and experimental tests. It considered two control volumes, one given by the air over the crop and a second one formed by the air trapped by crop foliage. The model was selected from a set of linear, discrete-time, state-variable systems using subspace identification methods. The estimated system was able to predict climate dynamics for both control volumes, having errors below 8%. Such performance was comparable to previous work reported in literature while the obtained model was a low-complexity linear system.