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Article:Model Predictive Controller of Boost Converter with RLE load

by N. Murali, K.V.Shriram, S.Muthukumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 11 - Number 3
Year of Publication: 2010
Authors: N. Murali, K.V.Shriram, S.Muthukumar
10.5120/1563-1921

N. Murali, K.V.Shriram, S.Muthukumar . Article:Model Predictive Controller of Boost Converter with RLE load. International Journal of Computer Applications. 11, 3 ( December 2010), 13-18. DOI=10.5120/1563-1921

@article{ 10.5120/1563-1921,
author = { N. Murali, K.V.Shriram, S.Muthukumar },
title = { Article:Model Predictive Controller of Boost Converter with RLE load },
journal = { International Journal of Computer Applications },
issue_date = { December 2010 },
volume = { 11 },
number = { 3 },
month = { December },
year = { 2010 },
issn = { 0975-8887 },
pages = { 13-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume11/number3/1563-1921/ },
doi = { 10.5120/1563-1921 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:59:39.940312+05:30
%A N. Murali
%A K.V.Shriram
%A S.Muthukumar
%T Article:Model Predictive Controller of Boost Converter with RLE load
%J International Journal of Computer Applications
%@ 0975-8887
%V 11
%N 3
%P 13-18
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper discuss about the new approach of control mechanism for dc to dc converters. Using this technique fast response and steady state output can be achieved. Model predictive controller will predict the future output by suitable training of the present and past occurrences. Conventional PI controllers will get the output at lesser response and vast deviation from the output. In this algorithm single input and single output is developed to describe the boost converter. The control objectives of voltage tracking are used by weighted cost function. The proposed algorithm of Model Predictive Controller is done by simulation using MATLAB. Comparative analysis and results of MPC and PI control is observed.

References
  1. James B. Rawlings, “Model Predictive Control Technology” Proceedings of the American Control Conference San Diego, California June 1999.
  2. F. Borrelli, A. Bemporad, M. Fodor, and D. Hrovat, “An MPC/hybrid system approach to traction control,” IEEE Trans. Contr. Systems Technology, vol. 14, no.3, pp. 541–552, May 2006.
  3. S. J. Qin and T. A. Badgwell, “A survey of industrial model predictive control technology,” Control Engineering Practice, vol. 11, pp.733–764, 2003.
  4. Pannocchia and J. B. Rawlings, “Disturbance models for offset-free MPC control,” AIChE J., vol. 49, no. 2, pp. 426–437, Feb. 2003.
  5. A. Bemporad, N. Ricker, and J. Owen, “Model predictive control –New tools for design and evaluation,”in American Control Conference, Boston, MA, 2004, pp. 5622–5627.
  6. D. W. Clarke, C. Mohtadi, P. S. Tuffs, Generalized Predictive Control – Part I.The Basis Algorithm, Automatica, Vol. 23, No. 2, pp. 137-148, 1987.
  7. Bordons, C., Camacho, E.F.: A generalized predictive controller for a wide class of industrial processes, IEEE Transactions on control systems technology, Vol.26, No. 3,May 1998.
  8. D. W. Clarke, C. Mohtadi, “Properties of GeneralizedPredictive Control”, Automatica, Vol. 25, No. 6, pp. 859-875,1989.
Index Terms

Computer Science
Information Sciences

Keywords

Model Predictive Controller Boost converter PI control

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