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, 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.

• 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