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Previous issue date: 2007-12-05 / On this paper, it is made a comparative analysis among a controller fuzzy coupled to a PID neural adjusted by an AGwith several traditional control techniques, all of them
applied in a system of tanks (I model of 2nd order non lineal). With the objective of making possible the techniques involved in the comparative analysis and to validate the control to be compared, simulations were accomplished of some control techniques (conventional PID adjusted by GA, Neural PID (PIDN) adjusted by GA, Fuzzy PI, two Fuzzy attached to a PID Neural adjusted by GA and Fuzzy MISO (3 inputs) attached to a PIDN adjusted by GA) to have some comparative effects with the considered controller. After doing, all the tests, some control structures were elected from all the tested techniques on the simulating stage (conventional PID adjusted by GA, Fuzzy PI, two Fuzzy attached to a PIDN adjusted by GA and Fuzzy MISO (3 inputs) attached to a PIDN adjusted by GA), to be implemented at the real system of tanks. These two kinds of operation, both the simulated and the real, were very important to achieve a solid basement in order to
establish the comparisons and the possible validations show by the results / Neste trabalho ?realizado uma an?lise comparativa entre um controlador fuzzy acoplado aum PID neural ajustado por um AGcom diversas t?cnicas de controle tradicionais,
todas elas aplicadas em um sistema de tanques (modelo de 2a ordem n?o linear). Com o objetivo de viabilizar as t?cnicas envolvidas nas an?lises comparativas e validar o controle a ser comparado, foram realizadas simula??es de algumas t?cnicas de controle (PID convencional ajustado por AG, PID Neural (PIDN) ajustado por AG, Fuzzy PI, Fuzzy cascata acoplado a um PIDN ajustado por AG e Fuzzy MISO (3 entradas) acoplado a um PIDN ajustado por AG) para efeitos comparativos com o controlador proposto. Depois de realizar todos os testes simulados, foram eleitas, dentre as t?cnicas testadas na fase de simula??o, algumas estruturas de controle (PID convencional ajustado por AG, Fuzzy PI, Fuzzy cascata acoplado aum PIDN ajustado por AGeFuzzy MISO (3entradas) acoplado a um PIDN ajustado por AG) para serem implementadas no sistema real de tanques. Esses dois modos de opera??o, tanto o simulado como o real, se fizeram importantes para um embasamento s?lido para fazer as compara??es e valida??es poss?veis mostradas nos
resultados
| Identifer | oai:union.ndltd.org:IBICT/oai:repositorio.ufrn.br:123456789/15184 |
| Date | 05 December 2007 |
| Creators | Vale, Marcelo Roberto Bastos Guerra |
| Contributors | CPF:42046637100, http://lattes.cnpq.br/0477027244297797, Ara?jo, F?bio Meneghetti Ugulino de, CPF:82675090468, http://lattes.cnpq.br/5473196176458886, Gabriel Filho, Oscar, CPF:11376040697, http://lattes.cnpq.br/4171033998524192, Maitelli, Andr? Laurindo |
| Publisher | Universidade Federal do Rio Grande do Norte, Programa de P?s-Gradua??o em Engenharia El?trica, UFRN, BR, Automa??o e Sistemas; Engenharia de Computa??o; Telecomunica??es |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis |
| Format | application/pdf |
| Source | reponame:Repositório Institucional da UFRN, instname:Universidade Federal do Rio Grande do Norte, instacron:UFRN |
| Rights | info:eu-repo/semantics/openAccess |
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