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Transient Detection of Rotor Asymmetries in Squirrel-Cage Induction Motors Using a Model-Based Tacholess Order

Erik Etien1, Thierry Doget1, Laurent Rambault1

  • 1LIAS Laboratory, University of Poitiers, 86073 Poitiers, France.

Sensors (Basel, Switzerland)
|May 20, 2022
PubMed
Summary
This summary is machine-generated.

This study develops a squirrel-cage induction motor dynamic model using minimal data. The model enables speed estimation and rotor fault monitoring via Tacholess Order Tracking (TOT), validated on a defect test bench.

Keywords:
adaptive observerorder trackingsoft sensorspeed estimationsquirrel-cage induction motor

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Area of Science:

  • Electrical Engineering
  • Mechanical Engineering
  • Control Systems

Background:

  • Squirrel-cage induction motors are crucial in industrial applications.
  • Accurate dynamic modeling is essential for performance optimization and fault detection.
  • Rotor bar defects can lead to motor failure and operational downtime.

Purpose of the Study:

  • To determine the dynamic model of a squirrel-cage induction motor using limited information.
  • To develop an adaptive observer for speed estimation and rotor fault monitoring.
  • To generalize angular sampling for defect adaptation.

Main Methods:

  • System identification techniques for dynamic model extraction.
  • Adaptive observer design based on the derived motor model.
  • Tacholess Order Tracking (TOT) for non-invasive fault diagnosis.
  • Generalization of angular sampling for defect analysis.

Main Results:

  • A dynamic model of the squirrel-cage induction motor was successfully determined from reduced data.
  • An adaptive observer provided accurate speed estimation.
  • Rotor fault monitoring was effectively performed using the proposed Tacholess Order Tracking (TOT) method.
  • The generalized angular sampling adapted to rotor defects.

Conclusions:

  • The proposed method effectively models induction motors with limited data.
  • The adaptive observer and TOT enable reliable speed estimation and rotor fault detection.
  • The approach is validated and suitable for laboratory studies of rotor bar defects.