Banca de DEFESA: CARLOS YURI FERREIRA SILVA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : CARLOS YURI FERREIRA SILVA
DATE: 16/12/2019
TIME: 15:00
LOCAL: Auditório do LAMP
TITLE:

Implementation of a neural velocity estimator in a three phase induction motor


KEY WORDS:
Induction machine, Sensorless velocity, Artificial neural network.


PAGES: 100
BIG AREA: Engenharias
AREA: Engenharia Elétrica
SUBÁREA: Eletrônica Industrial, Sistemas e Controles Eletrônicos
SPECIALTY: Automação Eletrônica de Processos Elétricos e Industriais
SUMMARY:

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. Nowadays, this motor is also highlighting for it's applicability in the automotive area, with the electric vehicle ascension which, besides being a economic alternative to fuel consumption compared to ordinary vehicle, are also a solution for the emission of polluting gases to the environment. From this scenario, the objective of this work is to perform the speed control of an induction motor 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. 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 as both observer and speed estimation and it was possible to perform the control os the motor with the estimated speed in the range of 100 to 170 rad/s.


BANKING MEMBERS:
Presidente - 1149567 - ANDRES ORTIZ SALAZAR
Interno - 1451883 - FABIO MENEGHETTI UGULINO DE ARAUJO
Externo à Instituição - ALBERTO SOTO LOCK - UFPB
Externo à Instituição - JOSE ALVARO DE PAIVA - IFRN
Notícia cadastrada em: 12/11/2019 22:12
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