scholarly journals Design and Implementation of Adaptive Fuzzy Controller for Speed Control of Brushless DC Motors

2010 ◽  
Vol 1 (27) ◽  
pp. 46-51 ◽  
Author(s):  
N.Senthil Kumar ◽  
C.Senthil Kumar
Sensors ◽  
2010 ◽  
Vol 10 (7) ◽  
pp. 6901-6947 ◽  
Author(s):  
José Carlos Gamazo-Real ◽  
Ernesto Vázquez-Sánchez ◽  
Jaime Gómez-Gil

Author(s):  
Joon Sung Park ◽  
Ki-Doek Lee

<span style="font-family: 'Times New Roman',serif; font-size: 9pt; mso-fareast-font-family: '맑은 고딕'; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA; mso-bidi-font-style: italic;" lang="EN-US">The trend in the motor applications is to reduce weight and volume by increasing the efficiency. Because of the advantage of high efficiency and high density, interest in brushless DC motors and drives is increasing. Unlike DC motors, the brushless DC (BLDC) motors require inverter circuit and position detector. In this paper, we deal with the optimization of the BLDC motor, the inverter, and the position detector. The inverter is optimized to be mounted on the BLDC motor. This paper deals primarily with the design and implementation aspects of the BLDC motor and the integrated drive circuit. Experimental results for the prototype of the BLDC motor with integrated dirve circuit in the laboratory are presented to validate the feasibility.</span>


2010 ◽  
Vol 43 (22) ◽  
pp. 75-80 ◽  
Author(s):  
Chang Hyun Kim ◽  
Ji Hoon Yang ◽  
Dong Gyun Lim ◽  
Byung Suhl Suh

is main goal of upcoming and present applications. However, its possible to achive these aims using brushless DC motors (BLDC), due to its use in many applications. The applications such as sppining, drilling, elevators, lathes, etc can be exicuted using BLDC motor and can replace conventional DC brush motor. The effective vechiel control required for applications of variable speed can be achived using BLDC motors. This paper presents speed control of BLDC motor for open loop using PID and neural network techniques and their comparative study. From the simulation study it is observed that neural network gives better performance compaiered to other technique.


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