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Greenhouse air temperature control using the particle swarm optimisation algorithm
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Orientador(es)
Resumo(s)
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.
Descrição
Palavras-chave
Model predictive control Agriculture Particle swarm optimisation algorithms
Contexto Educativo
Citação
Coelho, João; Cunha, José; Oliveira, Paulo (2002). Greenhouse air temperature control using the particle swarm optimisation algorithm. In 15th IFAC World Congress on Automatic Control. Barcelona – Espanha.