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Master's Dissertation
DOI
https://doi.org/10.11606/D.18.2007.tde-03092007-092234
Document
Author
Full name
Sérgio Ferreira da Silva
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2007
Supervisor
Committee
Silva, Ivan Nunes da (President)
Gonzaga, Diogenes Pereira
Leite, Luciana Cambraia
 
Title in Portuguese
Identificação de torque de carga em motores de indução usando abordagem baseada em sistemas Fuzzy
Keywords in Portuguese
Estimativa de torque de carga
Motor de Indução
Sistemas Fuzzy
Abstract in Portuguese
Os motores de indução trifásicos são largamente usados em vários setores da indústria. O dimensionamento da potência adequada de um motor de indução ou assíncrono trifásico, em função do comportamento das cargas acopladas ao eixo, continua em alguns casos impreciso pela falta de conhecimento mais completo do comportamento das cargas. A proposta deste trabalho consiste na utilização de sistemas Fuzzy como uma alternativa aos métodos tradicionais para levantamento do comportamento de carga e, em processos de controle, onde há a necessidade de conhecimento do comportamento do conjugado aplicado ao eixo do motor, enfocando diversos tipos de cargas encontrados em indústrias. Resultados de simulações são apresentados para validar a proposta deste trabalho.
 
Title in English
Identification of load torque in induction motors using Fuzzy system approach
Keywords in English
Fuzzy systems
Induction motor
Load torque estimation
Abstract in English
The three phase induction motors are widely used in all industrial sectors. The selection procedure of the motor for a particular application is sometimes inaccurate due to the lack of complete knowledge about the load connected to its shaft. The proposal of this work consists of using Fuzzy system as an alternative tool to the classical methods for extraction of the load behavior and, in control process, where knowledge of the torque behavior applied to the motor shaft are need, focusing several types of loads found in industries. Simulation results are presented to validate the proposal of this work.
 
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Sergio.pdf (1.07 Mbytes)
Publishing Date
2007-09-04
 
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