The origin and reduction of acoustic noise in doubly salient variable-reluctance motors

Cameron, D.E.; Lang, Jeffrey H.; Umans, S.D.

doi:10.1109/28.175275

Cited by 376 publications

(138 citation statements)

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“…Smaller airgap length will also force the motor into a highly saturated operation, accompanied by high radial forces causing mechanical vibration of stator core and housing in radial direction [32,33]. Therefore, obtaining the optimum airgap length is essential for achievement of high performance motor.…”

Section: Problem Statementmentioning

confidence: 99%

Hybrid Method of Obtaining Degrees of Freedom for Radial Airgap Length in SRM Under Normal and Faulty Conditions Based on Magnetiostatic Model

Torkaman¹,

Afjei²

2010

PIER

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Abstract-In this paper, a new hybrid method of obtaining the degrees of freedom for redial airgap length in Switched Reluctance Motor operation under normal and faulty conditions based on magnetostatic analysis is presented. At the beginning, this method goes through the magnetic design of the motor utilizing three dimensional (3-D) Finite Element Method (FEM) in order to consider the end effects as well as axial fringing field effects. The motor parameters, such as torque, flux linkage, flux density versus rotor position are precisely obtained. Then, a Multi Layered Perception Neural Network is designed by considering the nonlinear behavior of the motor parameters obtained under different modes of operation. Using this network and the obtained parameters from FEM, an Objective Function (OF) for torque ripple with the aim of having a minimum mean square error is estimated. In addition, an improved Genetic Algorithm (GA) for the minimization the OF is also presented to determine the motor's operational regions. Finally, the legal intervals for different modes of motor operation are addressed.

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Section: Problem Statementmentioning

confidence: 99%

Hybrid Method of Obtaining Degrees of Freedom for Radial Airgap Length in SRM Under Normal and Faulty Conditions Based on Magnetiostatic Model

Torkaman¹,

Afjei²

2010

PIER

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“…The radial force in the direction of the air gap is obtained from considering the incremental field energy with respect to the air gap and the incremental mechanical energy as: (14) and the radial force is :…”

Section: Air Gap Length Parametric Analysismentioning

confidence: 99%

“…where γ is the poisson ratio, ρ is the mass density of the material, γ y is the geometric mean radius of the stator shell, E is the modulus of elasticity [13,14].…”

Section: Back Iron Thickness Parametric Analysismentioning

confidence: 99%

Harmony Optimization Design of Switched Reluctance Motor Drive

Li¹,

Sun

Lei³

2010

IJIES

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SRM has become an attractive alternative in adjustable speed drive due to its simplicity in both motor construction and power converter, and vibration that causes acoustic noise in SRM have generated intense interest from the time it became commercially competitive with dc and ac drives. Basically, there are two conventional ways to reduce the noise: optimize the physical structure of the motor, or, choose appropriate control strategies. In this paper, a new method is proposed to combine these two optimization ways together: harmony optimization of SRM. Physical design is mainly aiming at the back iron thickness and the air gap length of the motor. Control optimization is about the control mode, turn-on and the turn-off angle which affects the power factor strongly. Based on the same cooper losses, the mathematics analysis and finite element simulation are carried out. The results show that the harmony optimization will reduce the vibration and torque ripple in a large extent without extra power losses.

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“…2 is the model for a force acting on a viscous damped spring-mass system. The equation of motion can be obtained using Newton's second law (1) For , , and , the displacement response (Compliance) of the system is (2) Velocity response (Mobility) is (3) Acceleration response (Accelerance) is (4) Therefore, the transfer function from force to acceleration is (5) For the stator of the SRM, the transfer function can be written as (6) where is the resonant natural frequency of mode , is the damping ratio of mode , is the gain relative to mode , and is the Laplace's variable. The transfer function of the stator vibrations and the forces acting on the stator is composed of a sum of the second-order high-pass filters.…”

Section: A Frequency Response Function (Frf) Of Srm Vibrationsmentioning

confidence: 99%

“…T IS ALREADY accepted that the vibrations in switched reluctance motors (SRMs) are caused primarily by the ovalizing deformation of the stator lamination stack due to its radial magnetic attraction to the rotor [1], [2]. Currently, there is work being done on the determination of resonant frequencies [3], [4], mode shapes [5]- [7], and testing [8]- [10].…”

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confidence: 99%

Vibration prediction in switched reluctance motors with transfer function identification from shaker and force hammer tests

Pillay¹

Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344)

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Abstract-A vibration prediction model for the switched reluctance motor is constructed in this paper. Shaker and force hammer tests for vibration measurement are used for measuring crucial parameters like modal frequency and damping ratio for the transfer function. A detailed lookup table of normal force versus phase current and rotor angle is constructed based on finite-element calculations. The model is then verified by experiments, with acceptable accuracy.

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The origin and reduction of acoustic noise in doubly salient variable-reluctance motors

Cited by 376 publications

References 1 publication

Hybrid Method of Obtaining Degrees of Freedom for Radial Airgap Length in SRM Under Normal and Faulty Conditions Based on Magnetiostatic Model

Hybrid Method of Obtaining Degrees of Freedom for Radial Airgap Length in SRM Under Normal and Faulty Conditions Based on Magnetiostatic Model

Harmony Optimization Design of Switched Reluctance Motor Drive

Vibration prediction in switched reluctance motors with transfer function identification from shaker and force hammer tests

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