GREENHOUSE AIR TEMPERATURE CONTROL USING THE PARTICLE SWARM OPTIMISATION ALGORITHM

The particle swarm optimisation algorithm is proposed as a new method to design a model based predictive controller subject to restrictions. Its performance is compared with the one obtained by using a genetic algorithm for the environmental temperature control of a greenhouse. Controller outputs ar...

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Bibliographic Details
Published inIFAC Proceedings Volumes Vol. 35; no. 1; pp. 43 - 47
Main Authors Coelho, J.P., Oliveira, P.B. de Moura, Cunha, J. Boaventura
Format Journal Article
LanguageEnglish
Published 2002
Subjects
agriculture
Model predictive control
particle swarm optimisation algorithms
agriculture
particle swarm optimisation algorithms
Model predictive control
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ISSN1474-6670
DOI10.3182/20020721-6-ES-1901.01316

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Summary:The particle swarm optimisation algorithm is proposed as a new method to design a model based predictive controller subject to restrictions. Its performance is compared with the one obtained by using a genetic algorithm for the environmental temperature control of a greenhouse. Controller outputs are computed in order to optimise future behaviour of the greenhouse environment, regarding set-point tracking and minimisation of the control effort over a prediction horizon of one hour with a one-minute sampling period.
ISSN:1474-6670
DOI:10.3182/20020721-6-ES-1901.01316