Greenhouse air temperature control using the particle swarm optimisation algorithm

• Autor(es): Coelho, J.P. ; Cunha, José Boaventura ; Oliveira, Paulo
• Data: 2002
• Identificador Persistente: http://hdl.handle.net/10198/2763
• Origem: Biblioteca Digital do IPB
• Assunto(s): Model predictive control; Agriculture; Particle swarm optimisation algorithms
• Tipo de Documento: Documento de conferência
• Idioma: Inglês

Descrição

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.