Sensorless speed torque control of DC machine using artificial neural network technique
Other Title(s)
السيطرة على سرعة ماكنة تيار مستمر بدون متحسس للسرعة و العزم باستخدام تقنية الشبكة العصبية الاصطناعيةالسيطرة على سرعة ماكنة تيار مستمر بدون متحسس للسرعة و العزم باستخدام تقنية الشبكة العصبية الاصطناعية
Joint Authors
Allaw, Ahmad Atiyyah
Antar, Rakan Khalil
Source
Tikrit Journal of Engineering Sciences
Issue
Vol. 23, Issue 3 (30 Sep. 2016), pp.55-62, 8 p.
Publisher
Tikrit University Colleg of Engineering
Publication Date
2016-09-30
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Abstract EN
In this paper, Artificial Neural Network (ANN) technique is implemented to improve speed and torque control of a separately excited DC machine drive.
The speed and torque sensorless scheme based on ANN is estimated adaptively.
The proposed controller is designed to estimate rotor speed and mechanical load torque as a Model Reference Adaptive System (MRAS) method for DC machine.
The DC drive system consists of four quadrant DC/DC chopper with MOSFET transistors, ANN, logic gates and routing circuits.
The DC drive circuit is designed, evaluated and modeled by Matlab/Simulink in the forward and reverse operation modes as a motor and generator, respectively.
The DC drive system is simulated at different speed values (±1200 rpm) and mechanical torque (±7 N.m) in steady state and dynamic conditions.
The simulation results illustrate the effectiveness of the proposed controller without speed or torque sensors.
American Psychological Association (APA)
Antar, Rakan Khalil& Allaw, Ahmad Atiyyah. 2016. Sensorless speed torque control of DC machine using artificial neural network technique. Tikrit Journal of Engineering Sciences،Vol. 23, no. 3, pp.55-62.
https://search.emarefa.net/detail/BIM-946112
Modern Language Association (MLA)
Antar, Rakan Khalil& Allaw, Ahmad Atiyyah. Sensorless speed torque control of DC machine using artificial neural network technique. Tikrit Journal of Engineering Sciences Vol. 23, no. 3 (2016), pp.55-62.
https://search.emarefa.net/detail/BIM-946112
American Medical Association (AMA)
Antar, Rakan Khalil& Allaw, Ahmad Atiyyah. Sensorless speed torque control of DC machine using artificial neural network technique. Tikrit Journal of Engineering Sciences. 2016. Vol. 23, no. 3, pp.55-62.
https://search.emarefa.net/detail/BIM-946112
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-946112