Research On Vibration And Noise Of The Permanent Magnet Synchronous Motor

With the prosperity of the motherland and the development of the economy,Clothing,food,housing and transportation of the life have surpassed the previous development trend,as well as new products and equipment of the industry,are coming to us at an unpredictable speed.Among them,plastic products have been widely used in our social life.Compared to plastic products,with the introduction of the national energy-saving strategy,plastic industry technology including the molding equipment-injection molding machine has been updated.And its driving equipment have gradually transitioned from asynchronous motors to permanent magnet motors.At the same time,servo energy-saving injection molding machines are favored by the domestic market and major manufacturers.Therefore,the design and analysis of PMSM for injection molding machine has important social value and significance.Compared with asynchronous motors,PMSMs have many advantages,such as controllable power supply,variable frequency regulation by power electronic equipment,wider output range,smoother adjustment,strong adaptive ability,high efficiency and energy saving,low temperature rise,good starting performance,small volume and helping improve the power grid performance.It has become a key area of the motor market and the research direction.However,vibration and noise problems of PMSMs still exist,and it is urgent to update and upgrade materials,research method innovation,theoretical breakthrough and structural optimization.This paper is divided into five chapters.The first chapter is the introduction,the second,third,fourth and fifth chapters are the specific research process of the motor,and each chapter provides the corresponding theoretical discussion.In the second chapter,the optimization parameters of the motor are optimized by the combination algorithm T-R-C.The Taguchi methods retain the polar arc coefficient,the magnetic pole thickness and the magnetic pole eccentricity which have a large proportion of the influence to the radial air gap magnetic density,and the fitting fitness function is applied to the response surface method.The fitting function replaces the fitness function in crisscross optimization algorithm and outputs the optimal parameters.The third chapter constructs the Maxwell 2D model of the motor before and after optimization and performs the rated performance analysis.Contrasting analysis of optimized objects such as the radial and tangential air gap magnetic density,the radial and tangential electromagnetic force wave before and after optimization.In the fourth chapter,the modal analysis process is divided into three parts: the whole machine structure,the rotor system and the stator system.The frequency relationship among the three is discussed.And compare with the frequency of force wave to analyze whether there is electromagnetic resonance.The fifth chapter uses the finite element coupling analysis function of the sound field to determine the noise variation before and after optimization through harmonic response analysis and sound power level calculation.In this paper,the electromagnetic vibration and noise are elaborated and verified by simulation experiments from the excitation source,vibration characteristics and sound source noise level.The amplitude of the radial electromagnetic force wave of the excitation source is obviously weakened based on the spatial and time distribution,and the related rated performance are also significantly improved.The natural frequencies of the modal parameter are far away from the force wave frequency to avoid the electromagnetic resonance phenomenon.The harmonic response analysis of the vibration displacement is generally reduced;the total sound power level of the noise is reduced by 8 dB,a decrease of 17.40%.In summary,the T-R-C combination algorithm can better re-optimize the motor and effectively reduce vibration and noise.