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Reseach Article

Adaptive Control Methodology for the Compensation of Linear and non Linear Parametric Disturbances

by Karnakar Shukla, Santosh Kumar Patel, Vikas Kannaujia
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 42 - Number 20
Year of Publication: 2012
Authors: Karnakar Shukla, Santosh Kumar Patel, Vikas Kannaujia
10.5120/5843-8082

Karnakar Shukla, Santosh Kumar Patel, Vikas Kannaujia . Adaptive Control Methodology for the Compensation of Linear and non Linear Parametric Disturbances. International Journal of Computer Applications. 42, 20 ( March 2012), 49-54. DOI=10.5120/5843-8082

@article{ 10.5120/5843-8082,
author = { Karnakar Shukla, Santosh Kumar Patel, Vikas Kannaujia },
title = { Adaptive Control Methodology for the Compensation of Linear and non Linear Parametric Disturbances },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 42 },
number = { 20 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 49-54 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume42/number20/5843-8082/ },
doi = { 10.5120/5843-8082 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:31:52.117070+05:30
%A Karnakar Shukla
%A Santosh Kumar Patel
%A Vikas Kannaujia
%T Adaptive Control Methodology for the Compensation of Linear and non Linear Parametric Disturbances
%J International Journal of Computer Applications
%@ 0975-8887
%V 42
%N 20
%P 49-54
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Adaptive controller is called for that provides a uniformly satisfactory performance in the presence of parametric uncertainties and variations. The adaptive approach to this problem is to design a controller with varying parameters, which are adjusted in such a way that they adapt to and accommodate the uncertainties and variations in the plant to be controlled by providing such a time-varying solution. The exact nature of which is determined by the nature and magnitude of the parametric uncertainties, the closed loop adaptive system seeks to enable a better performance. The result that have accrued in the field of adaptive control over the past three decades have provided a framework within which such time varying adaptive controller can be designed to yield stability and robustness in various control tasks. adaptive control deals with parametric uncertainties in control system and could be defined as the combination of a parametric estimator, which generate parameter estimates online with a control law in order to control class of plant (is the combination of process and actuator, which is a device that can influences the controlled variable of the process) whose parameter are completely unknown and/or could change with the time in a unpredictable manner. So from this paper we are trying to find auxiliary process variable that correlate well with the change in process dynamics. And also various approaches' to the manipulation with unpredictable parametric uncertainties

References
  1. A. S. Morse, "Global stability of parameter adaptive control systems, "IEEE Trans. Automat. Contr. , vol. AC-25, pp. 433439, June 1980.
  2. K. S. Narendra, Y. H. Lin, and L. S. Valavani, "Stable adaptive controller design-Part It Proof of stability," IEEE Trans. utomat. Contr. , vol.
  3. G. C. Goodwin, P. J. Ramadge, and P. E. Caines, "Discrete time AC-25, pp. 440-448, June 1980. multivariable adaptive control," IEEE Trans. Automat. Conrr. , vol. AC-25, pp. 449-456. June 1980.
  4. P. A. Ioannou and P. V. Kokotovic, Aduptive Systems with Reduced Models, Berlin. Springer-Verlag, 1983.
  5. C. E. R o b , L. Valavani, M. Athans, and G. Stein, "Robustness of continnous-time adaptive control algorithms in the presence of unmodelled dynamics," IEEE Trans. Automat. Conrr. , vol. AC-30, no. 9, pp. 881-889, Sep. 1985.
  6. Adaptive control: stability, convergence and robustness by Shanker Shastry and Marc Bodson, pp . 2-16, 1994
  7. Adaptive Control, Edited by Kwanho You p. cm. ISBN 978-953-7619-47-31. Adaptive Control I. Kwanho You
  8. Gain scheduling: potential hazards and possible remedies By jeff s. shamma and mical athans Ieee control system
  9. R. Reichert, "Mordel robust control for missile autopilot design," in proc. 1990 acc,san dieago, ca
  10. Loapunov, P. A. , "Robust Adaptive Controller with zero Residual tracking Error," IEEE Trans . On Automatic, vol. AC-31, no. 8, pp. 773-776, 1986.
  11. Stochastic Control," IEEE Trans On Automata Control, Vol. AC - 19, no. pp 494-500, 1974.
  12. Sastry, S. , "Model-Reference adaptive control- Stability, Parameter convergence, and Robustness", I. MA Journal of Mathematical control & information, Vol. 1, pp. 27-66, 1984.
  13. Dugard, L. , & J. M. Dion, "Direct Adaptive Control for Linear System", int. J. Control, Vol. 42, no. 6, pp. 1251-1281, 1985.
  14. Design of a Fractional-order Self-tuning Regulator using Optimization Algorithms Deepyaman Maiti, Mithun Chakraborty, Ayan Acharya, and Amit Konar Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, India Proceedings of 11th International Conference on Computer and Information Technology (ICCIT 2008)25-27 December, 2008, Khulna, Bangladesh. 1-4244-2136-7/08/$20. 00 ©2008 IEEE.
  15. Landau, Y. D. , Adaptive control- The Model Reference approach, Marcel Dekker, New York, 1979.
Index Terms

Computer Science
Information Sciences

Keywords

Parametric Estimator Plant Actuator Control Law auxiliary Process Variable