Peer-reviewedCC BY 4.0Scientific Reports
Sensorless closed-loop speed estimation of BLDC motor drive using physics-informed NN algorithm
Related
- Physics-Informed Neural Network of a Flexible Robotic Manipulator: Closed-Loop Experimental Validation
- Mass weighting algorithm optimizes Fourier-based physics-informed neural network in adhesive contact mechanics
- Parameter misspecification in physics-informed neural networks: A closed-form audit and its limits
- IGA-KAN: Isogeometric Analysis with Physics-Informed Closed-Form Kolmogorov-Arnold Networks for Forward and Inverse PDEs
- Enhanced speed control of BLDC motor using a four-switch voltage source inverter and sensorless position estimation
BibTeX
@article{priyanka2026sensorless,
title = {{Sensorless closed-loop speed estimation of BLDC motor drive using physics-informed NN algorithm}},
author = {S. Priyanka and R. Sriranjani and S. Jayalalitha},
journal = {Scientific Reports},
year = {2026},
month = nov,
doi = {10.1038/s41598-026-79056-2},
url = {https://www.nature.com/articles/s41598-026-79056-2},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Sensorless closed-loop speed estimation of BLDC motor drive using physics-informed NN algorithm
AU - S. Priyanka
AU - R. Sriranjani
AU - S. Jayalalitha
PY - 2026
DA - 2026/11/04
JO - Scientific Reports
DO - 10.1038/s41598-026-79056-2
UR - https://www.nature.com/articles/s41598-026-79056-2
SN - 2045-2322
ER -