Experimental identification and reduction of acoustic noise in small brushed DC motors

2012 ◽  
Author(s):  
Aldo Boglietti ◽  
Andrea Cavagnino ◽  
Seyedamin Saied ◽  
Silvio Vaschetto
Keyword(s):  
Acoustic Noise ◽  
Experimental Identification ◽  
Dc Motors

Experimental Identification and Reduction of Acoustic Noise in Small Brushed DC Motors

2014 ◽  
Vol 50 (1) ◽  
pp. 317-326 ◽  
Author(s):  
Andrea Cavagnino ◽  
Seyedamin Saied ◽  
Silvio Vaschetto
Keyword(s):  
Acoustic Noise ◽  
Experimental Identification ◽  
Dc Motors

Electromagnetically Generated Acoustic Noise in DC Machines

1995 ◽  
Author(s):  
Sangmoon Hwang ◽  
Dennis K. Lieu
Keyword(s):  
Acoustic Noise ◽  
Noise Generation ◽  
Element Analysis ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Dc Motors ◽  
Brushless Motor ◽  
Dc Excitation ◽  
Common Observation ◽  
Secondary Winding

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.

Easy and effective acoustic noise protection in neonatal MRI

2006 ◽  
Vol 210 (S 1) ◽  
Author(s):  
M Lundh ◽  
A Nordell ◽  
J Bengtsson ◽  
Z Nagy ◽  
S Horsch ◽  
...  
Keyword(s):  
Acoustic Noise ◽  
Neonatal Mri

Comparison of the Acoustic Noise caused by Output Voltage Harmonics on Three-Phase Voltage-Fed Inverters

2019 ◽  
Vol 139 (11) ◽  
pp. 901-907
Author(s):  
Jumpei Sawada ◽  
Shin-ichi Motegi ◽  
Yoshitaka Nakamura ◽  
Masaki Yamada
Keyword(s):  
Output Voltage ◽  
Acoustic Noise ◽  
Phase Voltage ◽  
Three Phase ◽  
Voltage Harmonics

FEATURES OF ACOUSTIC NOISE OF SMALL UNMANNED AERIAL VEHICLES

2020 ◽  
Vol 79 (11) ◽  
pp. 985-995
Author(s):  
Valerii V. Semenets ◽  
V. M. Kartashov ◽  
V. I. Leonidov
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Acoustic Noise ◽  
Aerial Vehicles

ICM-based experimental identification of couple unbalance for GyroWheel system

2017 ◽  
Author(s):  
Haiyuan Liu ◽  
Xin Huo ◽  
Zhaosheng Guo ◽  
Sizhao Feng ◽  
Yongjiang Pi ◽  
...  
Keyword(s):  
Experimental Identification

Alternate Trajectory Determination Using Multimode Automated Robotic Vehicle with Line Following and Object Following Mode

2018 ◽  
Vol 8 (3) ◽  
pp. 46
Author(s):  
Varun Kumar ◽  
Lakshya Gaur ◽  
Arvind Rehalia
Keyword(s):  
Ultrasonic Sensor ◽  
Robotic Assembly ◽  
Voltage Regulator ◽  
Automated Vehicle ◽  
Dc Motors ◽  
Arduino Uno ◽  
Robotic Vehicle ◽  
Line Following ◽  
Selection Of ◽  
Trajectory Determination

In this paper the authors have explained the development of robotic vehicle prepared by them, which operates autonomously and is not controlled by the users, except for selection of modes. The different modes of the automated vehicle are line following, object following and object avoidance with alternate trajectory determination. The complete robotic assembly is mounted on a chassis comprising of Arduino Uno, Servo motors, HC-SRO4 (Ultrasonic sensor), DC motors (Geared), L293D Motor Driver, IR proximity sensors, Voltage Regulator along with castor wheel and two normal wheels.

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