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Updated: Jun 5, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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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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无传感器向量控制的感应电机驱动:通过自适应神经模糊推理系统集成的增强模型参考自适应系统来提高性能

Govindharaj I1, Dinesh Kumar K1, Balamurugan S2

  • 1Department of Computer Science and Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Tamil Nadu 600062, India.

MethodsX
|December 16, 2024
PubMed
概括

这项研究将自适应神经模糊推理系统 (ANFIS) 控制器与模型参考自适应系统 (MRAS) 集成,用于在无传感器感应电机 (IM) 驱动器中增强速度控制. 该ANFIS-MRAS方案提高了动态性能和稳定性,特别是在低速时.

关键词:
适应性神经模糊推理系统感应电机驱动器 感应电机驱动自适应神经模糊推理系统 (ANFIS) 与模型参考自适应系统 (MRAS) 的集成.负载变化 负载变化模型参考适应性系统模型估计旋转器转速的方法无传感器的感应电机 无传感器的感应电机控制速度的速度控制器

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