@inproceedings{d9673f446ac048bda3c0178521f94b32,
title = "Position estimation of outer rotor PMSM using linear hall effect sensors and neural networks",
abstract = "A position estimator for an outer rotor permanent magnet synchronous machine (PMSM) is presented and evaluated. This proposed estimator uses a machine-learning based neural network algorithm to interpret the signals, which are obtained from linear Hall-effect sensors located in the fringe field of the rotor. The main objective is to design a cost-effective position estimation system that is comparable to encoders and resolvers in functionality and performance, without the limitations of sensorless position estimation methods. Learning signal data sets are acquired with commercial sensors and an outer rotor PMSM, and offline training steps and results are discussed.",
keywords = "Hall effect sensor, Neural network, Permanent magnet synchronous machine, Pmsm, Position estimation",
author = "Yuyao Wang and Yovahn Hoole and Kiruba Haran",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 11th IEEE International Electric Machines and Drives Conference, IEMDC 2019 ; Conference date: 12-05-2019 Through 15-05-2019",
year = "2019",
month = may,
doi = "10.1109/IEMDC.2019.8785178",
language = "English (US)",
series = "2019 IEEE International Electric Machines and Drives Conference, IEMDC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "895--900",
booktitle = "2019 IEEE International Electric Machines and Drives Conference, IEMDC 2019",
address = "United States",
}