DocumentCode
1842793
Title
Speed control of brushless DC motors using emotional intelligent controller
Author
Daryabeigi, E. ; Sadeghi, H. ; Markadeh, G. R Arab ; Lucas, C.
Author_Institution
Tiran Branch, Islamic Azad Univ., Tiran, Iran
fYear
2010
fDate
7-10 Nov. 2010
Firstpage
2920
Lastpage
2925
Abstract
This paper presents an improved emotional controller for brushless DC motor (BLDC) drive. The proposed controller is called brain emotional learning based intelligent controller (BELBIC). The utilization of the new controller is based on the emotion processing mechanism in brain. This intelligent control is inspired by the limbic system of mammalian brain, especially amygdala. The controller is successfully implemented in simulation using MATLAB software, brushless dc drive with trapezoidal back-emf. In this work, a novel and simple implementation of BLDC motor drive system is achieved by using the intelligent controller, which controls the motor speed accurately. This emotional intelligent controller has simple structure with high auto learning feature. Simulation results show that both accurate steady state and fast transient speed responses can be achieved in wide range of speed from 20 to 300 [rpm]. Moreover, for evaluate this emotional controller and hence to assess the effectiveness and control capability of the proposed BELBIC scheme, the performances of proposed control scheme are compared with a conventional PID controller for the BLDC drive control, in simulation different conditions. This is shown proper operating than the PID controller. And also shows excellent promise for industrial scale utilization.
Keywords
DC motor drives; angular velocity control; brushless DC motors; intelligent control; learning systems; machine control; self-adjusting systems; three-term control; BELBIC; MATLAB software; PID controller; autolearning feature; brain emotional learning based intelligent controller; brushless DC motor drives; limbic system; mammalian brain; speed control; Brain modeling; Brushless DC motors; Computational modeling; Control systems; Torque;
fLanguage
English
Publisher
ieee
Conference_Titel
IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
Conference_Location
Glendale, AZ
ISSN
1553-572X
Print_ISBN
978-1-4244-5225-5
Electronic_ISBN
1553-572X
Type
conf
DOI
10.1109/IECON.2010.5675062
Filename
5675062
Link To Document