Maitelli, André LaurindoVale, Marcelo Roberto Bastos Guerra2014-12-172008-07-292014-12-172007-12-05VALE, Marcelo Roberto Bastos Guerra. Análise comparativa do desempenho de um Controlador Fuzzy acoplado a um PID Neural sintonizado por um algoritmo genético com controladores inteligentes convencionais. 2007. 73 f. Dissertação (Mestrado em Automação e Sistemas; Engenharia de Computação; Telecomunicações) - Universidade Federal do Rio Grande do Norte, Natal, 2007.https://repositorio.ufrn.br/jspui/handle/123456789/15184On 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 resultsapplication/pdfAcesso AbertoLógica FuzzyRedes NeuraisAlgoritmo GenéticoSistema de nível de tanquesFuzzy logicArtificial Neural NetworksGenetic Algorithmsystem of tanksmasterThesisCNPQ::ENGENHARIAS::ENGENHARIA ELETRICA