Greenhouse air temperature control using the particle swarm optimisation algorithm

Coelho, João Paulo; Cunha, José Boaventura; Oliveira, Paulo de Moura

http://hdl.handle.net/10198/2763

Use this identifier to reference this record.

Name:	Description:	Size:	Format:
GREENHOUSE AIR TEMPERATURE CONTROL USING THE PARTICLE SWARM.pdf		170.81 KB	Adobe PDF	Download

Send Feedback

Authors

Coelho, João Paulo

Cunha, José Boaventura

Oliveira, Paulo de Moura

Abstract(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.

Keywords

Model predictive control Agriculture Particle swarm optimisation algorithms

URI

http://hdl.handle.net/10198/2763

Citation

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.