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<p>In this research, an adaptive neuro-fuzzy interference system (ANFIS) hybrid proportional integral (HPI) controller is used to apply a micro-permanent magnet synchronous motor (μ-PMSM) in an electric dental hand pipe. Handpieces that provide controlled torque and consistent speed are essential for various dental procedures. Hand pipes must have the fundamental components of a μ-PMSM motor under control in order for them to operate correctly. This suggested approach uses an ANFIS-HPI controller, which is based on the pelican optimization algorithm (POA), to manage torque and speed. The Matlab/Simulink platform is utilized for the simulation and evaluation of the μ-PMSM motor’s whole speed control and torque control system. The suggested controller shows a rise time of 0.025 and a setlting time of 0.075, with zero peak overrun. It is evident from the outcome that there has been a system performance improvement.</p>

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Modelling of electric dental hand pipe using ANFIS assisted micro-permanent magnet synchronous motor

  • 期刊论文

  • 发表日期：

    2025年5月8日

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  • Jebin Francis,
  • Prawin Angel Michael,
  • Ashna Joseph,
  • Jarin T.

摘要

In this research, an adaptive neuro-fuzzy interference system (ANFIS) hybrid proportional integral (HPI) controller is used to apply a micro-permanent magnet synchronous motor (μ-PMSM) in an electric dental hand pipe. Handpieces that provide controlled torque and consistent speed are essential for various dental procedures. Hand pipes must have the fundamental components of a μ-PMSM motor under control in order for them to operate correctly. This suggested approach uses an ANFIS-HPI controller, which is based on the pelican optimization algorithm (POA), to manage torque and speed. The Matlab/Simulink platform is utilized for the simulation and evaluation of the μ-PMSM motor’s whole speed control and torque control system. The suggested controller shows a rise time of 0.025 and a setlting time of 0.075, with zero peak overrun. It is evident from the outcome that there has been a system performance improvement.