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Background/Introduction <p>The stable traversal of the first-order bending critical speed (FOBCS) isa key challenge for flexible rotors in Active Magnetic Bearing (AMB) systems due to flexible modeexcitation.</p> Purpose <p>This study aims to develop a highly adaptive control strategy to ensure stable rotoroperation through the FOBCS under significant unbalance, overcoming the limitations of model-dependent or complex offline-tuned methods.</p> Methods <p>A characteristic model-based All-coefficient Adaptive Control (ACAC) method wasdesigned. After establishing the system model, the controller's characteristic parameters wereidentified online, and a composite control law was applied.</p> Results <p>Simulations verified the parameter identification process and controller robustness.Experiments demonstrated that the rotor could smoothly pass the FOBCS under differentunbalance masses (up to G6.3 grade), with vibration levels at both radial AMBs meeting the ISO14839 Class A standard.</p> Conclusions <p>The ACAC method proves effective for critical speed traversal, offering advantages inalgorithmic simplicity, strong robustness, and real-time adaptability, confirming its practical valuefor high-speed AMB-rotor systems.</p>

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Across the Critical Speed of Flexible Rotor with AMBs Using Characteristic Model-Based All-Coefficient Adaptive Control

  • 期刊论文

  • 发表日期：

    2025年12月16日

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  • Song Ding,
  • Chaowu Jin,
  • Jin Zhou,
  • Zhendong Hong,
  • Yu Zhou

摘要

Background/Introduction

The stable traversal of the first-order bending critical speed (FOBCS) isa key challenge for flexible rotors in Active Magnetic Bearing (AMB) systems due to flexible modeexcitation.

Purpose

This study aims to develop a highly adaptive control strategy to ensure stable rotoroperation through the FOBCS under significant unbalance, overcoming the limitations of model-dependent or complex offline-tuned methods.

Methods

A characteristic model-based All-coefficient Adaptive Control (ACAC) method wasdesigned. After establishing the system model, the controller's characteristic parameters wereidentified online, and a composite control law was applied.

Results

Simulations verified the parameter identification process and controller robustness.Experiments demonstrated that the rotor could smoothly pass the FOBCS under differentunbalance masses (up to G6.3 grade), with vibration levels at both radial AMBs meeting the ISO14839 Class A standard.

Conclusions

The ACAC method proves effective for critical speed traversal, offering advantages inalgorithmic simplicity, strong robustness, and real-time adaptability, confirming its practical valuefor high-speed AMB-rotor systems.