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<p>Balancing of rotors requires a specialized device known as a balancer, which measures centrifugal forces by rotating the rotor and applies corrective masses to achieve balance. Higher rotational speeds enhance the accuracy of the balancing process due to more pronounced centrifugal effects. In this study, a novel balancer is designed that employs the influence coefficient method for mass correction. The rotor’s speed is controlled through a dual mechanism: PWM pulse generation and a gear-based transmission system. Force magnitude and phase are measured using load cells and an optical proximity sensor. Modal analysis of the balancer structure reveals a lowest natural frequency of 216&#xa0;Hz, enabling safe operation at speeds up to 9500 RPM without inducing unwanted vibrations. Additionally, motion simulation was conducted to validate the governing equations and assess the impact of sensor misalignment. Results confirm the accuracy of the model and indicate a misalignment tolerance of up to 0.25&#xa0;mm.</p>

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Design and validation of a high-speed rotor balancer based on influence coefficient method and dual-speed control

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年2月7日

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  • Pourya Kord Gharehcheloo,
  • Farhad Fani Saberi,
  • Mahnaz Shamshirsaz

摘要

Balancing of rotors requires a specialized device known as a balancer, which measures centrifugal forces by rotating the rotor and applies corrective masses to achieve balance. Higher rotational speeds enhance the accuracy of the balancing process due to more pronounced centrifugal effects. In this study, a novel balancer is designed that employs the influence coefficient method for mass correction. The rotor’s speed is controlled through a dual mechanism: PWM pulse generation and a gear-based transmission system. Force magnitude and phase are measured using load cells and an optical proximity sensor. Modal analysis of the balancer structure reveals a lowest natural frequency of 216 Hz, enabling safe operation at speeds up to 9500 RPM without inducing unwanted vibrations. Additionally, motion simulation was conducted to validate the governing equations and assess the impact of sensor misalignment. Results confirm the accuracy of the model and indicate a misalignment tolerance of up to 0.25 mm.