96 research outputs found
A model-free control strategy for an experimental greenhouse with an application to fault accommodation
Writing down mathematical models of agricultural greenhouses and regulating
them via advanced controllers are challenging tasks since strong perturbations,
like meteorological variations, have to be taken into account. This is why we
are developing here a new model-free control approach and the corresponding
intelligent controllers, where the need of a good model disappears. This
setting, which has been introduced quite recently and is easy to implement, is
already successful in many engineering domains. Tests on a concrete greenhouse
and comparisons with Boolean controllers are reported. They not only
demonstrate an excellent climate control, where the reference may be modified
in a straightforward way, but also an efficient fault accommodation with
respect to the actuators
On the model-free control of an experimental greenhouse
International audienceIn spite of a large technical literature, an efficient climate control of a greenhouse remains a very difficult task. Indeed, this process is a complex nonlinear system with strong meteorological disturbances. The newly introduced ''model-free control'' setting is employed here. It is easy to implement, and has already shown excellent performances in many other concrete domains. Successful experimental tests are presented and discussed. They are compared to a Boolean approach, which is often utilized in practice
Model-free control and fault accommodation for an experimental greenhouse
International audienceThe greenhouse climate control is important in modern agriculture. It is also rather difficult to design: as a matter of fact writing down a "good" mathematical model, which takes into account strong meteorological disturbances, might be an impossible task. The control is here synthesized via a new "model-free" setting, which yields an "intelligent" proportional feedback controller, the tuning of which is straightforward, and even simpler than the intelligent proportional-integral controller, which was already utilized in a previous publication. Our control strategy is successfully tested via an experimental greenhouse. The comparison with the classic Boolean approach, which is popular among manufacturers, demonstrates the superiority of our viewpoint, which permits moreover an efficient actuator fault accommodation. It might be the first model-free fault-tolerant control, which works satisfactorily in practice
COLECCIONES FOTOGRÁFICAS DEL AYUNTAMIENTO DE SANTA LUCÍA DE TIRAJANA [Material gráfico]
Copia digital. Madrid : Ministerio de Educación, Cultura y Deporte. Subdirección General de Coordinación Bibliotecaria, 201
Utilisation des réseaux de neurones pour la modélisation d'une serre agricole
exposé invitéNational audienceno abstrac
Fuzzy logic to the identification and the command of the multidimesional systems
Invited PaperInternational audienceno abstrac
Principal Component Analysis to the Modelling of Systems - Application to an Experimental Greenhouse
CD-ROM n°ISBN 9973−959-01−9 / 9885 IEEEInternational audienceno abstrac
Principal Component Analysis for Greenhouse Modelling
ISSN : 1109−2777International audienceno abstrac
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