<p>This paper proposes an adaptive fuzzy logic-based field-oriented control strategy for permanent magnet synchronous motor, incorporating a novel dynamic correction mechanism to enhance system performance. The proposed approach replaces the traditional speed proportional–integral controller with a fuzzy logic controller (FLC) that dynamically adjusts the reference current based on real-time error correction. This approach aims to minimize steady-state error, reduce overshoot, accelerate the settling time, and effectively handle the parameter variations. Additionally, the reduced number of rules in FLC minimizes computational complexity. The effectiveness of the proposed method is validated through extensive simulation and hardware-in-loop results, demonstrating enhanced performance in terms of fast dynamic response and good steady-state accuracy.</p>

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Adaptive Fuzzy-Based Field-Oriented Control for Enhanced Performance of Permanent Magnet Synchronous Motors

  • B. Priya,
  • Rajvir Kaur,
  • Ashok Bhupathi Kumar Mukkapati

摘要

This paper proposes an adaptive fuzzy logic-based field-oriented control strategy for permanent magnet synchronous motor, incorporating a novel dynamic correction mechanism to enhance system performance. The proposed approach replaces the traditional speed proportional–integral controller with a fuzzy logic controller (FLC) that dynamically adjusts the reference current based on real-time error correction. This approach aims to minimize steady-state error, reduce overshoot, accelerate the settling time, and effectively handle the parameter variations. Additionally, the reduced number of rules in FLC minimizes computational complexity. The effectiveness of the proposed method is validated through extensive simulation and hardware-in-loop results, demonstrating enhanced performance in terms of fast dynamic response and good steady-state accuracy.