Torque and speed prediction of a brushless direct current motor using nonlinear autoregressive with exogenous inputs and neural network
Abstract Brushless DC (BLDC) motors are widely used in industrial applications due to their high efficiency and performance. However, accurately predicting key parameters such as torque and speed remains a challenge because of the motor’s inherently nonlinear dynamics. This study presents a data-dri...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-11296-0 |
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