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September 10, 2025Scientific ReportsOpen Access

Novel SMA BASED Elmanspiking neural network modelled fuzzy PI controller for speed-torque regulation of PMSM

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Authors

LNLakshmipriya NatarajanMAMamdooh AlwetaishiCLChu-Liang Lee

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Overview

Fuzzy PI controller improves speed control in PMSM, suggesting enhanced torque regulation efficiency.

Key Points

  • The proposed controller effectively regulates speed and torque in PMSM systems, improving operational efficiency.
  • Statistical analysis validates the soft computing controller's performance, demonstrating its reliability and adaptability.
  • Elman spiking neural network, hybridized with fuzzy inference, offers a novel approach to PMSM control challenges.
  • MATLAB simulations confirm the effectiveness of the designed soft computing controller in real-world applications.

Cite This Study

Natarajan et al. (2025) studied this question.

synapsesocial.com/papers/68c1b81254b1d3bfb60ebed9https://doi.org/10.1038/s41598-025-10837-x
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