相关实验视频

Updated: Jan 10, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

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通过基于非线性自回归神经网络与外源输入 (NARX-NN) 的混合机器学习方法的BLDC电机的转速和扭矩建模

Muhammad Aseer Khan1, Husan Ali1, Dur-E-Zehra Baig2

  • 1Department of Electrical and Avionics Engineering, Air University Aerospace and Aviation Campus Kamra, Attock, Pakistan.

PloS one
|November 21, 2025
PubMed
概括

本研究介绍了一种混合机器学习模型,用于预测无刷直流电机转速和扭矩. 具有外源输入的先进非线性自回归神经网络实现了高精度,改善了运动控制.

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