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In logistics conveyor systems requiring cascaded drives of multiple OR-PMSMs, multi-sensor vector control increases system complexity and cost. OR-PMSMs also face time-varying parameter drift during long-term operation, making parameter-robust sliding mode control suitable for constant-speed regulation. Conventional sliding mode observers, however, suffer from chattering due to high-frequency switching, degrading observation accuracy. To address this, a higher-order sliding mode-based fuzzy adaptive controller is proposed, dynamically adjusting sliding parameters via fuzzy algorithms to suppress chattering and enhance stability. A fractional-order phase-locked loop estimates rotor position/speed to avoid chattering error amplification. A modified second-order generalized integrator with enhanced filtering mitigates harmonic distortion and inverter noise. Experiments validate the integrated strategy’s effectiveness in improving dynamics and reliability.

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Fuzzy-Enhanced HSMO Strategy for Constant-Speed Regulation of OR-PMSM in Logistics Systems

  • 会议论文

  • 发表日期：

    2026年

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  • Runkai Yuan,
  • Jian Guo,
  • Zhen Wang,
  • Hao Gao

摘要

In logistics conveyor systems requiring cascaded drives of multiple OR-PMSMs, multi-sensor vector control increases system complexity and cost. OR-PMSMs also face time-varying parameter drift during long-term operation, making parameter-robust sliding mode control suitable for constant-speed regulation. Conventional sliding mode observers, however, suffer from chattering due to high-frequency switching, degrading observation accuracy. To address this, a higher-order sliding mode-based fuzzy adaptive controller is proposed, dynamically adjusting sliding parameters via fuzzy algorithms to suppress chattering and enhance stability. A fractional-order phase-locked loop estimates rotor position/speed to avoid chattering error amplification. A modified second-order generalized integrator with enhanced filtering mitigates harmonic distortion and inverter noise. Experiments validate the integrated strategy’s effectiveness in improving dynamics and reliability.