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Information Journal Paper

Title

NOISE REDUCTION IN SWITCHED RELUCTANCE MACHINE USING SHAPE OPTIMIZATION AND DESIGN OF EXPERIMENT ALGORITHM

Pages

  1-8

Abstract

 In the present paper, the shape optimization is done for the switched reluctance machine to decrease the NOISE and VIBRATION of this motor. The main reason for NOISE and VIBRATION in the switched reluctance machine is the instantaneous radial force which is applied on the stator poles of the machine. Using the ANSYS finite element package, an electromagnetic simulation model has been developed for the SWITCHED RELUCTANCE MOTOR by which the instantaneous radial force applied to stator poles and the natural frequencies are obtained precisely from the done electromagnetic and modal analyses. Applying the developed simulation model to a 6.4 SWITCHED RELUCTANCE MOTOR, the simulation results are presented and they are validated using the given experimental results. To reduce the NOISE of the considered SWITCHED RELUCTANCE MOTOR, a different structure is suggested for the stator and the optimal design parameters are determined using the developed simulation model and different algorithms are proposed in the design of experiment method.

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    APA: Copy

    NADERI SAMANI, OMID, & GANJI, BABAK. (2017). NOISE REDUCTION IN SWITCHED RELUCTANCE MACHINE USING SHAPE OPTIMIZATION AND DESIGN OF EXPERIMENT ALGORITHM. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), 8(3 ), 1-8. SID. https://sid.ir/paper/203044/en

    Vancouver: Copy

    NADERI SAMANI OMID, GANJI BABAK. NOISE REDUCTION IN SWITCHED RELUCTANCE MACHINE USING SHAPE OPTIMIZATION AND DESIGN OF EXPERIMENT ALGORITHM. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)[Internet]. 2017;8(3 ):1-8. Available from: https://sid.ir/paper/203044/en

    IEEE: Copy

    OMID NADERI SAMANI, and BABAK GANJI, “NOISE REDUCTION IN SWITCHED RELUCTANCE MACHINE USING SHAPE OPTIMIZATION AND DESIGN OF EXPERIMENT ALGORITHM,” COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), vol. 8, no. 3 , pp. 1–8, 2017, [Online]. Available: https://sid.ir/paper/203044/en

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