Open AccessEnergy harvesting and wireless data transmission system for rotor instrumentation in electrical machines
Author(s) -
Llano Danilo X.,
Abdi Salman,
Tatlow Mark,
Abdi Ehsan,
McMahon Richard A.
Publication year - 2017
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/iet-pel.2016.0890
Subject(s) - rectifier (neural networks) , bluetooth , rotor (electric) , battery (electricity) , electrical engineering , energy harvesting , engineering , wireless , automotive engineering , power (physics) , computer science , telecommunications , physics , stochastic neural network , quantum mechanics , machine learning , recurrent neural network , artificial neural network
It is desirable to measure rotor quantities such as currents and temperatures in an electrical machine for design verification and condition monitoring purposes. A Bluetooth module which sends data from the rotor was previously reported in literature, but this module was battery powered, and therefore the duration of the tests was limited. This study presents a solution to this problem by developing a rotor‐mounted power supply system which can harvest energy from the magnetic field inside the machine, by fixing an external loop to the rotor and making use of the induced voltage in the loop. A full‐bridge rectifier, boost converter and battery charging module were developed to supply sufficient power to a bespoke Bluetooth transmission system and associated sensor circuitry.