Electromagnetically Generated Acoustic Noise in DC Machines

Author(s):  
Sangmoon Hwang ◽  
Dennis K. Lieu

Abstract Acoustic noise of generated in DC motors is difficult to predict, and its exact mechanism is unclear. It is a common observation that brushless DC motors with rare earth magnets are often acoustically inferior to motors of equivalent output built with conventional magnets. In this paper, the acoustic noise of electromagnetic origin is investigated using a magnetic frame which emulates a DC motor. The driving electromagnetic force is calculated using finite element analysis and the resulting vibration and acoustic noise is measured. Acoustic noise of purely electromagnetic origin was also measured from a DC brushless motor to confirm the results of the magnetic frame. The results of the study show that the mechanism of noise generation can be a quasi-static response of a stator not only at the fundamental frequency but also at higher harmonic frequencies of alternating switched DC excitation of motor phases. Noise generation is significantly aggravated when some of those harmonics match the resonant frequencies of the stator. Eddy current flow within the magnets due to the time varying electromagnetic field act as a shorted transformer secondary winding, and results in a reduction of the electrical phase impedance. This reduced impedance results in a faster rise time with a sharper current shape during transients, and increased current magnitude during steady state, thus making the motor noisier.

1996 ◽  
Vol 32 (5) ◽  
pp. 5040-5042 ◽  
Author(s):  
D.M. Ionel ◽  
M.J. Balchin ◽  
J.F. Eastham ◽  
E. Demeter

2014 ◽  
Vol 904 ◽  
pp. 504-507
Author(s):  
Cai Hong Zhu ◽  
Hong Tao Zhang

2D whole field finite element method (FEM) based on ANSOFT software was adapted, and the magnetic field distribution of permanent-magnet brushless DC motor (BLDC) were calculated. The above discussion can provide reliable theory foundation for the reasonable establishment of nonlinear model BLDC and the further exploitation and application.


Author(s):  
Umesh Kumar Soni ◽  
Ramesh Kumar Tripathi

Background: Brushless DC motors are highly efficient motors due to its high torque to weight ratio, compact design, high speed operating capability and higher power density. Conventional Hall sensor based rotor position sensing is affected by the heating, vibration, interference and noise. Objective: The innovative, cost effective and easily implementable sensorless techniques are essential in order to achieve high efficiency, reduced current and reduced torque pulsations. Further, a delay free, high load fast startup is also important issue. Methods: In this paper an extensive review of various techniques based on the detection of freewheeling diode current, phase back EMF zero crossoing point detection, back EMF integration method and third harmonic back EMF was done. The study and effect of various PWM strategies on back EMF detection was studied. Later on the sensorless schemes based on flux linkage estimation and flux linkage increment were introduced. The load torque observers, unknown input observers, sliding mode observers, L∞-induced observers, H ∞ - deconvolution filter for back EMF estimation were also reviewed. As the brushless DC motors have no back EMF at starting and for back EMF based commutation a minimum speed is required for sufficient back EMF. Therefore various strategies of open and close-loop reduced current startup have been studied to achieve effective commutation without reverse torque. Initial position detection (IPD) schemes, which are mostly based on saliency and current response to inductance variation, is effective where reverse torque is strictly prohibited. A detailed review of these initial position detection techniques (IPD) has also been presented. Results: The detailed mathematical and graphical analysis has been presented here in order to understand the working of the state-of-art sensorless techniques. Conclusion: The back EMF detection using direct and indirect methods of terminal voltage filtering have the problem of delay and attenuation, PWM noise, freewheeling diode spikes and disturbance in detected back EMFs is a drawback. The parameter detuning, underestimation and overestimation, offset problem, system noise and observer gain variation etc. limit the applicability of observer based technique. Therefore, a more robust and precise position estimation scheme is essential.


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