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GREENHOUSE AIR TEMPERATURE CONTROL USING THE PARTICLE SWARM OPTIMISATION ALGORITHM
J.P. Coelhoa, P.B. De Moura Oliveirab,c, J. Boaventura Cunhab,c
a. Instituto de Trás-os-Montes e Alto Douro para a Investigação e Desenvolvimento
Agro-Industrial, 5000 Vila Real, Portugal.
b. Universidade de Trás-os-Montes e Alto Douro, Dep. Engenharias
5001-911 Vila Real, Portugal.
c. Instituto de Ciências e Tecnologias Agrárias e Agro-Alimentares da UTAD
5001-911 Vila Real, Portugal
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 the future behaviour of the greenhouse environment, regarding the set-point tracking and the minimisation of the control effort over a prediction horizon of one hour with a 1-minute sampling period.
Keywords: Model predictive control, agriculture, particle swarm optimisation algorithms
Session slot T-Mo-M19: Modelling and Control in Agricultural Processes/Area code 4a : Modelling and Control in Agricultural Processes
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