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Identifying a greenhouse climate model by using subspace methods
Identificación de un modelo del clima en un invernadero mediante métodos por subespacios
Keywords:
parametric estimation, subspace identification, greenhouse climate model (en)estimación paramétrica, identificación por subespacios, dinámica del clima en invernaderos (es)
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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.
En este trabajo se presenta el desarrollo de un modelo dinámico del clima en un invernadero ubicado en la Sabana de Bogotá. Se realiza la estimación de un modelo tipo caja negra obtenido a partir de datos experimentales. Se propone una estructura a partir de principios físicos que divide el sistema en dos volúmenes de control dados por el aire libre dentro del invernadero y el aire atrapado por el follaje. El modelo es seleccionado, dentro de una familia de sistemas lineales descritos en variables de estado, a través de métodos de identificación por subespacios. El modelo obtenido es capaz de explicar el comportamiento del clima en el aire y en el follaje con errores inferiores al 8%. Este desempeño es comparable al de otros estudios reportados en la literatura, con la ventaja de que el modelo empleado es lineal.
References
Bot, G. P. A., Greenhouse climate: from physical process to a dynamical model., Ph D. thesis, Agricultural University of Wageningen, Holland, 1983.
Cunha, J.B., De Moura Oliveira, J. P., Optimal management of greenhouse environments., EFITA Conference, 2003.
Cunha, J. B., Greenhouse climate models: An overview., EFITA Conference, 2003.
Cunha, J. B., Couto, C., Ruano, A. E., Real-time parameter estimation of dynamic temperature models for greeenhouse environmetal control., Control Engineering Practice, 1997
Ghoumari, M. Y. El., Optimización de la producción de un invernadero mediante control predictivo no lineal., Ph.D. thesis, Universidad Autónoma de Barcelona, Spain, 2003.
Herrero, J.M., Martínez, M., Blasco, X., Ramos, C., Rodríguez, S., Identificación paramétrica del modelo no lineal de un invernadero mediante algoritmos genéticos., XXIV Jornadas de Automática, 2003.
Kania, S. Giacomelli, G., Solar radiation availability for plant growth in Arizona controlled environment agriculture systems., Proc. 30th National agricultural plastics congress, 2002.
Körner, O., Crop based climate regimes for energy saving in greenhouse cultivation., PhD thesis, Agricultural University of Wageningen, Holland, 2003.
Körner, O., Challa, H., Temperature integration and process based humidity control in chrysanthemum., Computers and electronics in agriculture, No. 43,2004, pp. 1–21.
Overchee, V., Moor, B. L., Subspace identification for linear systems., Kluwer Academic Publishers, Dordrecht, Holland, 1996.
Molina-Aiz, F., Valera, D., Alvarez, A., Measurement and simulation of climate inside Almeria-type greenhouses using computational fluid dynamics., Agricultural and Forest Meteorology, No. 125, 2004, pp. 33-51.
Piñon, S., Peña, M., Álvarez, h., Kuchen, B., Control predictivo con restricciones para el clima de un invernáculo., DYNA, Revista de la Facultad de Minas de la Universidad Nacional de Colombia, No. 135, 2002, pp.11–25.
Salgado, P., Cunha, J. B., Greenhouse climate hierarchical fuzzy modeling., Control Engineering Practice, No. 13, 2005, pp. 613–628.
Tap, R.F., van Willigenburg, L. G., van Straten, G., Experimental results of receding horizon optimal control of greenhouse climate., Proc. Math. and Contr. Applic. in Agric. and Hort, No. 406,1996, pp. 229–238.
Triguia, M., Barringtona, S., Gauthierb, L., A strategy for greenhouse climate control, part I: Model development., Journal of Agricultural Engineering Research, 2001.
Wang, S., Boulard, T., Predicting the microclimate in a naturally ventilated plastic house in a Mediterranean climate., Journal of Agricultural Engineering Research, Vol. 75, No. 1, 2000, pp. 27–38.
Young, P., Chotai, A., Data-based mechanistic modeling, forecasting and control., IEEE Control systems magazine, Vol. 21, No. 5, 2001, pp.14–27.
Young, P. C., Lees, M. J., Chotai, A., Tych, W., Chalabi, Z. S., Modeling and PIP control of a glasshouse micro-climate., Control Engineering Practice, Vol. 2, No. 4, 1994, pp.591–604.
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Copyright (c) 2010 Fredy Orlando Ruiz Palacios, Carlos Eduardo Cotrino Badillo
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