Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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Vibration reduction method of switched reluctance motors with amorphous alloy cores based on inverse-magnetostriction effect

  • Ben, Tong (College of Electrical Engineering and New Energy, China Three Gorges University) ;
  • Wang, Jin (College of Electrical Engineering and New Energy, China Three Gorges University) ;
  • Chen, Long (College of Electrical Engineering and New Energy, China Three Gorges University) ;
  • Jing, Libing (College of Electrical Engineering and New Energy, China Three Gorges University) ;
  • Yan, Rongge (State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology)
  • Received : 2022.04.08
  • Accepted : 2022.07.14
  • Published : 2022.11.20
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Abstract

The amorphous alloy used in a switched reluctance motor core can greatly improve the efficiency of the motor. However, its large magnetostrictive coefficient and strong stress sensitivity (i.e., inverse-magnetostriction effect) increase the core vibration and limit the precise control capability of the electrical signals. A vibration reduction method based on the inverse-magnetostriction effect is proposed to control the electromagnetic vibration of a switched reluctance motor with amorphous alloy cores (SRMA). First, a nonlinear magnetostriction and inverse-magnetostriction effect model (NMIE model) of an amorphous alloy and the compressive stress applied structure for the stator teeth are proposed. Then, considering the influence of static compressive stress and dynamic electromagnetic stress on the magnetic properties of the core material, a two-way dynamic electromagnetic force coupling model of the SRMA is constructed and solved. Finally, the vibration characteristics of the SRMA core are calculated. The obtained results show that the radial electromagnetic stress of the improved structure is reduced by 33.6%, which verifies the feasibility of the proposed vibration reduction method.

Keywords

Acknowledgement

This work was supported by the National Natural Science Foundation of China under Grant No.52007102, State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology (No. EERIKF2021015).

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