Generation of music scale from brushless DC motor with surface permanent magnets

2012 ◽  
Vol 60 (6) ◽  
pp. 763-769
Author(s):  
Takeo Ishikawa ◽  
Ryo Ataka ◽  
Satoshi Azami ◽  
Michio Matsunami ◽  
Nobuyuki Kurita
Keyword(s):  
Permanent Magnets ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Brushless Dc

scholarly journals Analysis of a Permanent-Magnet Brushless DC Motor with Fixed Dimensions

2010 ◽  
Vol 26 (1) ◽  
pp. 78-81
Author(s):  
Uldis Brakanskis ◽  
Janis Dirba ◽  
Ludmila Kukjane ◽  
Viesturs Drava
Keyword(s):  
Magnetic Flux ◽  
Permanent Magnet ◽  
Permanent Magnets ◽  
Dc Motor ◽  
Magnetic Flux Density ◽  
Brushless Dc Motor ◽  
Outer Diameter ◽  
Zone Length ◽  
Brushless Dc ◽  
Permanent Magnet Brushless Dc

Analysis of a Permanent-Magnet Brushless DC Motor with Fixed DimensionsThe purpose of this paper is to describe the analysis of a permanent-magnet brushless DC motor with fixed outer diameter and active zone length. The influence of air gap, material of permanent magnets and their size on the magnetic flux density of the machine and magnetic flux is analyzed. The work presents the calculations of two programs, the comparison of the results and the most suitable combination of factors that has been found.

Optimization of the magnetic system of a brushless DC motor with rare-earth permanent magnets

2016 ◽  
Vol 87 (6) ◽  
pp. 347-351 ◽  
Author(s):  
Ye. V. Volokitina ◽  
A. I. Vlasov ◽  
Yu. G. Opalev ◽  
O. A. Yurlova
Keyword(s):  
Rare Earth ◽  
Permanent Magnets ◽  
Magnetic System ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Brushless Dc

scholarly journals Adaptive Neuro Fuzzy Technique for Speed Control of Six-Step Brushless DC Motor

2021 ◽  
Vol 15 ◽  
pp. 63-72
Author(s):  
Hany Abdelfattah
Keyword(s):  
High Performance ◽  
Permanent Magnets ◽  
Fuzzy Inference ◽  
Dc Motor ◽  
Industrial Applications ◽  
Brushless Dc Motor ◽  
Inference System ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Neuro Fuzzy

The brushless DC motors with permanent magnets (PM-BLDC) are widely used in a miscellaneous of industrial applications. In this paper, The adaptive neuro fuzzy inference system (ANFIS) controller for Six-Step Brushless DC Motor Drive is introduced. The brushless DC motor’s dynamic characteristics such as torque , current , speed, , and inverter component voltages are showed and analysed using MATLAB simulation. The propotional-integral (PI) and fuzzy system controllers are developed., based on designer’s test and error process and experts. The experimential and hardware resuts for the inverter- driver circuits are presented. The simulation results using MATLAB simulink are conducted to validate the proposed (ANFIS) controller’s robustness and high performance relative to other controllers.

FEM ANALYSIS FOR A NOVEL CONFIGURATION OF BRUSHLESS DC MOTOR WITHOUT PERMANENT MAGNET

2009 ◽  
Vol PIER 98 ◽  
pp. 407-423 ◽  
Author(s):  
Hassan Moradi ◽  
Ebrahim Afjei ◽  
Faramarz Faghihi
Keyword(s):  
Permanent Magnet ◽  
Fem Analysis ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Brushless Dc

Open Loop Speed Control Of Brushless DC Motor Using Low Cost Arduino UNO Processor

2016 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Potnuru Devendra ◽  
Mary K. Alice ◽  
Ch. Sai Babu ◽  
◽  
◽  
...  
Keyword(s):  
Low Cost ◽  
Speed Control ◽  
Dc Motor ◽  
Open Loop ◽  
Brushless Dc Motor ◽  
Brushless Dc ◽  
Arduino Uno
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