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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| Outros Autores: | , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2010
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10198/2763 |
| País: | Portugal |
| Oai: | oai:bibliotecadigital.ipb.pt:10198/2763 |
| Resumo: | 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. |
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