Supervsion of classical PID adpative regulators using fuzzy logic techniques
This work describes the supervisory task of controlled plants whose strategy is based on classical adaptive PID regulators. The supervisory task includes the detection of the dynamic behaviour. According to this it decides whether to perform the autotuning, as a result of the defuzzification of a ru...
| Autores: | , |
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| Tipo de documento: | artigo |
| Data de publicação: | 1994 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositório: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglês |
| OAI Identifier: | oai:upcommons.upc.edu:2099/2452 |
| Acesso em linha: | https://hdl.handle.net/2099/2452 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Supervision Fuzzy logic Autotuning Diagnosis Fuzzy associative memory Lògica difusa Classificació AMS::03 Mathematical logic and foundations::03E Set theory |
| Resumo: | This work describes the supervisory task of controlled plants whose strategy is based on classical adaptive PID regulators. The supervisory task includes the detection of the dynamic behaviour. According to this it decides whether to perform the autotuning, as a result of the defuzzification of a rule-base proposed for this purpose. The result of the fuzzy rule-base is applied in sequential mode to a deterministic rule-base (Boolean), whose conclusion serves to initiate the state of the regulator in the plant. |
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