Doolan Fernandes, J.; Carvalho Souza, F.; Cipriano Maniçoba, G.; Salazar, A.; De Paiva, J. Wireless Monitoring of Induction Machine Rotor Physical Variables. Sensors 2017, 17, 2660, doi:10.3390/s17112660.
Doolan Fernandes, J.; Carvalho Souza, F.; Cipriano Maniçoba, G.; Salazar, A.; De Paiva, J. Wireless Monitoring of Induction Machine Rotor Physical Variables. Sensors 2017, 17, 2660, doi:10.3390/s17112660.
Doolan Fernandes, J.; Carvalho Souza, F.; Cipriano Maniçoba, G.; Salazar, A.; De Paiva, J. Wireless Monitoring of Induction Machine Rotor Physical Variables. Sensors 2017, 17, 2660, doi:10.3390/s17112660.
Doolan Fernandes, J.; Carvalho Souza, F.; Cipriano Maniçoba, G.; Salazar, A.; De Paiva, J. Wireless Monitoring of Induction Machine Rotor Physical Variables. Sensors 2017, 17, 2660, doi:10.3390/s17112660.
Abstract
With the widespread use of electric machines there is a growing need to extract information from the machines to optimize their control systems and maintenance management. The present work shows the development of an embedded system to perform the monitoring of an squirrel cage induction motor rotor physical variables. The system comprises: circuit to acquire desirable rotor variable(s) value(s) and send it to the computer; a rectifier and power storage circuit that besides converting an alternating current in continuous also store energy for a certain amount of time to wait the motor engine shutdown; and magnetic generator that harvest energy from rotating field to power the circuits mentioned above. The embedded system is set on the rotor, making it difficult to power the system because it is rotating, problem solved with the construction of the magnetic generator eliminating the need of using batteries or collector rings and send data to the computer using a wireless NRF24L01 module. For the proposed system validation a temperature sensor (DS18b20) was used, variable known as the most important when identifying the need for maintenance and control systems. Tests were made getting satisfactory results proving the viability of using sensors on the rotor.
Keywords
wireless communication; energy harvesting; electrical machines maintenance; induction motor control systems; rotor temperature
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
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