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Reseach Article

Application of Iterative Learning Control Strategy for SISO Process

Published on July 2014 by S. Sivasankar, B. Rajabalan, S. Sathishbabua, M. Vijayakarthick
Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
Foundation of Computer Science USA
ETEIAC - Number 1
July 2014
Authors: S. Sivasankar, B. Rajabalan, S. Sathishbabua, M. Vijayakarthick
7603cfc8-4263-4b21-931b-aaad56c56b09

S. Sivasankar, B. Rajabalan, S. Sathishbabua, M. Vijayakarthick . Application of Iterative Learning Control Strategy for SISO Process. Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering. ETEIAC, 1 (July 2014), 36-40.

@article{
author = { S. Sivasankar, B. Rajabalan, S. Sathishbabua, M. Vijayakarthick },
title = { Application of Iterative Learning Control Strategy for SISO Process },
journal = { Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering },
issue_date = { July 2014 },
volume = { ETEIAC },
number = { 1 },
month = { July },
year = { 2014 },
issn = 0975-8887,
pages = { 36-40 },
numpages = 5,
url = { /proceedings/eteiac/number1/17332-1413/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
%A S. Sivasankar
%A B. Rajabalan
%A S. Sathishbabua
%A M. Vijayakarthick
%T Application of Iterative Learning Control Strategy for SISO Process
%J Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
%@ 0975-8887
%V ETEIAC
%N 1
%P 36-40
%D 2014
%I International Journal of Computer Applications
Abstract

Iterative Learning Control (ILC) has recently much attention for system, where reference commands are periodic signal that work in the repetitive mode. In this work, implementation of ILC for the speed control DC motor system is carried out. The second order transfer function model for DC motor system is derived and identified. The major key factors such as learning filter and robustness filter in the ILC are designed based on the model parameters of the DC motor system. Simulation test are executed in the DC motor system with ILC and conventional PID controller. The superiority of ILC is estimated by means of tracking error. The simulation results reveal the efficiency of the ILC.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Dc Motor System Ilcs Pid Root Locus Technique.