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Acta Armamentarii ›› 2025, Vol. 46 ›› Issue (S1): 250649-.doi: 10.12382/bgxb.2025.0649

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A Review on Optimal Control Strategies for Magnetic Field-modulated Fractional-slot Permanent Magnet Motors in Autonomous Underwater Vehicle

YAO Yujie*(), QIAO Mingzhong, WU Bo, SUN Lucheng, WANG Kangning   

  1. Naval University of Engineering, Wuhan 430030,Hubei, China
  • Received:2025-07-15 Online:2025-11-06
  • Contact: YAO Yujie

Abstract:

Magnetic field-modulated fractional-slot permanent magnet motor utilizes the magnetic field modulation effect to eliminate the need for the gearbox structure in traditional electric propulsion system,which simplifies the electric propulsion system architecture and reduces mechanical noise.Furthermore,magnetic field -modulated fractional-slot permanent magnet motor is particularly suitable for the electric propulsion of AUVs due to their high power density and high torque density.Magnetic field -modulated fractional-slot permanent magnet motor can utilize multiple harmonic components of the excitation magnetic flux density to work cooperatively,significantly enhancing the motor’s torque density.However,this type of motor simultaneously modulates certain low-order harmonic components of the armature magnetic flux density.This leads to the issues such as low power factor,high harmonic losses,and significant torque ripple in magnetic field-modulated motors,negatively impacting the stealth capabilities and operational efficiency of AUVs.This paper focuses on the control strategies for torque ripple suppression,power factor improvement,and efficiency optimization from the perspective of motor optimization control.Finally,the current state of technology regarding the application of such motors in new energy power generation is summarized,marine propulsion,and electric vehicles,followed by a discussion on the key technologies and future development directions for their application in AUVs.

Key words: autonomous underwater vehicle, flux modulation effect, fractional slot, harmonic suppression, optimized control