Vibration noise suppression method for bearingless switched reluctance motor

Abstract

According to the vibration noise suppression method for the bearingless switched reluctance motor, a 12 / 8-pole BSRMWR comprises a doubly salient stator and rotor and an asymmetric half-bridge power converter composed of 12 sets of windings, and the motor has large vibration noise due to the body structure and the asymmetric power supply mode. According to the morphology optimization method, iterative optimization is carried out on the BSRMWR motor shell by establishing a dynamic optimization model. And when a termination condition is satisfied, finally outputting the motor shell model after iterative optimization. The modal strain energy of the BSRMWR shell before and after optimization is obtained through finite element modal analysis, the modal strain energy can accurately reflect the change condition of local actual stress of the motor shell, and the rigidity of the motor shell is effectively analyzed. According to the method, improvement of the rigidity of the motor shell serves as an optimization design target, the vibration deformation quantity of the motor serves as a design variable, and the quality of the motor shell serves as a constraint function. According to the main optimization scheme, optimal reinforcing rib distribution is found in a motor shell through a morphology optimization method, and vibration noise oscillogram of the motor before and after optimization is compared.

Description

technical field [0001] The invention belongs to the technical field of motor vibration and noise, and in particular relates to a method for suppressing vibration and noise of a bearingless switched reluctance motor. Background technique [0002] Vibration and noise reduction technology has always been an important topic in the field of engineering design. Topography optimization is a structural shape optimization method, and its main optimization scheme is to find the optimal rib distribution in plate and shell structures. The optimization design has three elements, namely design variables, objective function and constraints. The design variables are a group of parameters that are changed during the optimization process to improve performance; the objective function is the function of the design variables that require optimal design performance; the constraints are the restrictions on the design. [0003] At present, in the field of motor vibration and noise reduction, it ...

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Problems solved by technology

From the perspective of structural optimization, for example, many literatures have done optimization analysis from the perspective of motor stator / rotor slotting and oblique poles. Although it can bring a certain effect of vibration reduction and noise reduction, this method is not universal and machinable. If it is not handled well, it will destroy the electrical characteristics of the motor and bring counterproductive effects.

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