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Comparative Study of Neural Network Algorithms for Servo Control Applications

by Lalithamma G A, P. S. Puttaswamy, Kashyap Dhruve
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 86 - Number 3
Year of Publication: 2014
Authors: Lalithamma G A, P. S. Puttaswamy, Kashyap Dhruve
10.5120/14968-3147

Lalithamma G A, P. S. Puttaswamy, Kashyap Dhruve . Comparative Study of Neural Network Algorithms for Servo Control Applications. International Journal of Computer Applications. 86, 3 ( January 2014), 30-37. DOI=10.5120/14968-3147

@article{ 10.5120/14968-3147,
author = { Lalithamma G A, P. S. Puttaswamy, Kashyap Dhruve },
title = { Comparative Study of Neural Network Algorithms for Servo Control Applications },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 86 },
number = { 3 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 30-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume86/number3/14968-3147/ },
doi = { 10.5120/14968-3147 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:04:42.750593+05:30
%A Lalithamma G A
%A P. S. Puttaswamy
%A Kashyap Dhruve
%T Comparative Study of Neural Network Algorithms for Servo Control Applications
%J International Journal of Computer Applications
%@ 0975-8887
%V 86
%N 3
%P 30-37
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

AC servo systems are extensively used in robotic actuators and are competing with DC servo motors for motion control because of their favorable electrical and mechanical properties. Efficient control schemes for servo motors are required to ensure performance in presence of system parameter variations. Neural networks have emerged as a suitable tool for control applications especially under situations where the plant parameters are varying and a robust control is required. This paper presents a servo control approach based on direct torque control using the neural networks. The main emphasis is on studying the different neural network algorithms and there suitability for servo controls applications.

References
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Index Terms

Computer Science
Information Sciences

Keywords

AC servo motor neural network parameter variations direct torque control