Publicação
Non-linear concentration control system design using a new adaptive particle swarm optimiser
| Resumo: | Designing a linear controller that performance satisfactorily within a non-linear operating envelope is a difficult control engineering problem. In this paper, a new adaptative particle swarm optimisation algorithm is proposed, that can track difficult dynamic search landscapes. the proposed adaptive particle swarm algorithm is applied to design linear discrete PI regulators to control a clasical non-linear concentration ssystem, in wich the operating point conditions change considerably with the input flow change. Simulation results are presented that show the effectiveness of the proposed evolutionary based design technique. |
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| Autores principais: | Coelho, João Paulo |
| Outros Autores: | Cunha, José Boaventura; Oliveira, Paulo de Moura |
| Assunto: | PID control Tuning based on optimisation Non-linear control Adaptive particle swarm optimisation |
| Ano: | 2002 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Politécnica de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital da UPB |
| Resumo: | Designing a linear controller that performance satisfactorily within a non-linear operating envelope is a difficult control engineering problem. In this paper, a new adaptative particle swarm optimisation algorithm is proposed, that can track difficult dynamic search landscapes. the proposed adaptive particle swarm algorithm is applied to design linear discrete PI regulators to control a clasical non-linear concentration ssystem, in wich the operating point conditions change considerably with the input flow change. Simulation results are presented that show the effectiveness of the proposed evolutionary based design technique. |
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