A Volterra model of the greenhouse temperature using natural ventilation

Abstract Model-based control techniques are commonly applied to control the greenhouse climate. As well-known, these techniques require accurate models for adequate results. Several first-principle models have been developed for the greenhouse climate control problem considering all the physical and physiological processes. However, these models are too complex to be used for control purposes. On the other hand, empirical models based on input/output real data allow to obtain better results and less complex model structures. In the Mediterranean areas the main problem is cooling the greenhouse and this leads to natural ventilation as a standard tool. This paper presents the development and the results of a Volterra model for the greenhouse temperature including the crop effect and using natural ventilation.

[1]  H.-J. Tantau,et al.  Optimal control for plant production in greenhouses , 1991 .

[2]  Ido Seginer,et al.  Optimal greenhouse temperature trajectories for a multi-state-variable tomato model , 1991 .

[3]  T. Boulard,et al.  Modelling of Air Exchange Rate in a Greenhouse Equipped with Continuous Roof Vents , 1995 .

[4]  R. Pearson.  Nonlinear Input/Output Modeling , 1994 .

[5]  Ronald K. Pearson,et al.  Nonlinear model predictive control of a simulated multivariable polymerization reactor using second-order Volterra models , 1996, Autom..

[6]  P. J. Schotman,et al.  A survey of computer-based approaches for greenhouse climate management. , 1996 .

[7]  M. Fuchs.  Effects of ventilation on the energy balance of a greenhouse with bare soil*1 , 1997 .

[8]  C. Kittas,et al.  NATURAL VENTILATION OF A GREENHOUSE WITH RIDGE AND SIDE OPENINGS: SENSITIVITY TO TEMPERATURE AND WIND EFFECTS , 1997 .

[9]  Konstantinos G. Arvanitis,et al.  Adaptive temperature control in greenhouses based on multirate-output controllers , 1999 .

[10]  B. J. Bailey,et al.  Greenhouse ventilation rate : Theory and measurement with tracer gas techniques , 1999 .

[11]  M. Berenguel,et al.  Application of artificial neural networks for greenhouse climate modelling , 1999, 1999 European Control Conference (ECC).

[12]  Francis J. Doyle,et al.  Identification and Control Using Volterra Models , 2001 .

[13]  M. Berenguel,et al.  Feedforward controllers for greenhouse climate control based on physical models , 2001, 2001 European Control Conference (ECC).

[14]  Daniel E. Rivera,et al.  A 'Model-on-Demand' identification methodology for non-linear process systems , 2001 .

[15]  L. V. Willigenburg,et al.  The significance of crop co-states for receding horizon optimal control of greenhouse climate , 2002 .

[16]  Konstantinos G. Arvanitis,et al.  A nonlinear feedback technique for greenhouse environmental control , 2003 .

[17]  J. Montero,et al.  Natural Ventilation of Parral Greenhouses , 2004 .

[18]  E. J. van Henten,et al.  On-line estimation of the ventilation rate of greenhouses using an unknown input observer , 2005 .

[19]  J. Pérez-Parra,et al.  VENTILATION RATE MODELS OF MEDITERRANEAN GREENHOUSES FOR CONTROL PURPOSES , 2006 .

[20]  J. L. Guzmán,et al.  GREENHOUSE DIURNAL TEMPERATURE CONTROL WITH NATURAL VENTILATION BASED ON EMPIRICAL MODELS , 2006 .