Implementação de um estimador neural de velocidade em um motor de indução trifásico

This work proposes to perform the speed control of an induction motor (1 cv, 2 poles, 220/380 V) without the use of a mechanical sensor attached to the rotor, avoiding some inconveniences such as a periodic maintenance and increased complexity and number of equipment are always part of the engine...

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Autor principal: Silva, Carlos Yuri Ferreira
Outros Autores: Salazar, Andres Ortiz
Formato: Dissertação
Idioma:pt_BR
Publicado em: Brasil
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Endereço do item:https://repositorio.ufrn.br/jspui/handle/123456789/28705
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Descrição
Resumo:This work proposes to perform the speed control of an induction motor (1 cv, 2 poles, 220/380 V) without the use of a mechanical sensor attached to the rotor, avoiding some inconveniences such as a periodic maintenance and increased complexity and number of equipment are always part of the engine running. The three phase induction motor is the most used type of machine for electric drives. Low cost, construction simplicity and reliability are the motives that explains this statement. For the induction motor control was applied the control strategy known as Field Oriented Control and for the estimation of the motor rotor speed was used an artificial neural network, which observer electrical and mechanical system variables. The practical results were satisfatory, since the neural network worked for the measeured and estimated velocity, being possible to perform the control os the motor with the estimated speed in the range of 100 to 170 rad/s.