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Application of Iterative Learning Control Strategy for SISO Process

Published on July 2014 by S. Sivasankar, B. Rajabalan, S. Sathishbabua, M. Vijayakarthick
journal_cover_thumbnail

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
  1. Arimoto, S. , Kawamura, S. , and Miyazaki, F. , 1984 Bettering operation of robots by learning. Journal of Robotic Systems. vol. 1. no. 2. pp. 123-140.
  2. Bien, Z. , and Xu, J. -X. , 1998 Iterative Learning Control - Analysis, Design, Integration and Applications. Kluwer Academic Publishers.
  3. Xu. , J. -X. , and Tan, Y. , 2003 Linear and Nonlinear Iterative Learning Control. Springer-Verlag, New York.
  4. Owens, D. H. , and Hatonen, J. , 2005 Iterative learning control - An optimization paradigm. Annual Reviews in Control. vol. 29. no. 1. pp. 57-70.
  5. Hatonen, J. , Owens, D. H. , and Feng, K. , 2006 Basis functions and parameter optimization in highorder iterative learning control. Automatica. vol. 42. no. 2. pp. 287-294.
  6. Astrom, K. J. , Panagopoulos, H. , and Hagglund, T. , 1998 Design of PI controllers based on non-convex optimization. Automatica. vol. 34. no. 5. pp. 585-601.
  7. Toscano, R. , 2007 Robust synthesis of a PID controller by uncertain multi model approach. Information Sciences. vol. 177. no. 6. pp. 1441-1451.
  8. Roel Merry. , Rene van de Mol engraft and Maarten Steinbach. , The Influence of Disturbances in Iterative Learning Control. IEEE conference on control application, Toronto, Canada. pp 974-979.
  9. Steinbuch, M. , and van de Molengraft, M. J. G. , 2000 Iterative Learning Control of Industrial Motion Systems. Proc. 1st IFAC conference on Mechatronic Systems. pp 967-972.
  10. Tomizuka, M. , 1987 Zero Phase Error Tracking Algorithm For Digital Control Asme Journal Of Dynamic Systems. Measurement and Control. 109:65-68.
Index Terms

Computer Science
Information Sciences

Keywords

Dc Motor System Ilcs Pid Root Locus Technique.