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This work proposes a multiobjective optimal control strategy for the suspension management of an active magnetic bearing (AMB)-supported flywheel rotor in energy storage systems. By reducing the rotor system to a planar model, analytical solutions for maximum amplitude, equivalent stiffness/damping, and sensitivity function were derived. An optimization model balancing robustness and vibration suppression was developed, with constraints including stability, natural stiffness/damping, air gap, and sensitivity bounds. Using multidimensional visualization, optimal PID parameter domains were identified. Simulations and experiments validated the strategy, achieving stable levitation within 0–15,000 r/min with minimal vibration and high robustness.

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Optimal Control for the Rotor System of a Magnetic Levitation Flywheel Energy Storage

  • 会议论文

  • 发表日期：

    2026年

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  • Yanchang Zhang,
  • Jianyu Li,
  • Hailin Wang,
  • Menghan Lin,
  • Liangliang Chen,
  • Futao Li

摘要

This work proposes a multiobjective optimal control strategy for the suspension management of an active magnetic bearing (AMB)-supported flywheel rotor in energy storage systems. By reducing the rotor system to a planar model, analytical solutions for maximum amplitude, equivalent stiffness/damping, and sensitivity function were derived. An optimization model balancing robustness and vibration suppression was developed, with constraints including stability, natural stiffness/damping, air gap, and sensitivity bounds. Using multidimensional visualization, optimal PID parameter domains were identified. Simulations and experiments validated the strategy, achieving stable levitation within 0–15,000 r/min with minimal vibration and high robustness.