Articles
SPEAKING PLANT APPROACH BASED ON MATHEMATICAL IDENTIFICATION FOR ENVIRONMENT CONTROL PURPOSES
Article number
421_12
Pages
129 – 136
Language
Abstract
Organisms such as plants grow as a result of the influence of their genetics and their micro-environment.
An essential part of all the environmental related problems is the understanding of how living organisms respond dynamically to their physical micro environment or micro climate.
Most models being developed to explain this relation, are descriptive (mechanistic, empirical or statistical relationships) and too complex to be used for control purposes.
Today, new possibilities in the field of sensors and hardware technology allow the continuous monitoring of dynamic plant responses.
Moreover, the application of (on-line) mathematical identification techniques provide possibilities to model complex plant responses continuously and, in a further stage, to use such models for control purposes.
From literature on plant response modelling, it appears that the mechanistic dynamic models lack validation and robustness to be successfully used in controllers.
Recently, efforts have been devoted to the black box modelling of plant responses, but these models are not yet used in practice for climate control.
Since it is possible now to describe quantitatively the micro environment of the plant a project is proposed to model plant responses (photosynthesis and water potential) to the system inputs CO2 concentration and light intensity (state space model) and to use such a model in an on-line procedure to control the system inputs.
Such a model and the knowledge of how plants react to their micro environment is of great importance to control the physical micro environment around a plant and to other major environmental problems (detection of air pollution etc.).
An essential part of all the environmental related problems is the understanding of how living organisms respond dynamically to their physical micro environment or micro climate.
Most models being developed to explain this relation, are descriptive (mechanistic, empirical or statistical relationships) and too complex to be used for control purposes.
Today, new possibilities in the field of sensors and hardware technology allow the continuous monitoring of dynamic plant responses.
Moreover, the application of (on-line) mathematical identification techniques provide possibilities to model complex plant responses continuously and, in a further stage, to use such models for control purposes.
From literature on plant response modelling, it appears that the mechanistic dynamic models lack validation and robustness to be successfully used in controllers.
Recently, efforts have been devoted to the black box modelling of plant responses, but these models are not yet used in practice for climate control.
Since it is possible now to describe quantitatively the micro environment of the plant a project is proposed to model plant responses (photosynthesis and water potential) to the system inputs CO2 concentration and light intensity (state space model) and to use such a model in an on-line procedure to control the system inputs.
Such a model and the knowledge of how plants react to their micro environment is of great importance to control the physical micro environment around a plant and to other major environmental problems (detection of air pollution etc.).
Authors
M. Van Pee, D. Berckmans
Keywords
climate control, plant response modelling, mathematical identification
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