Determination of the Region of Stabilizing Controller Parameters of Polytopic Polynomials

In the scenario of robust controller design for any given MIMO process system, control-designer faces real challenges in computing the optimum region of controller-parameters by following the conventional methodologies. Such methods are, in fact, much complex for analyzing and hence time consuming....

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Main Authors: I. Thirunavukkarasu, V. I. George, Mukund Kumar Menon, S. Shanmuga Priya
Format: Article
Language:English
Published: IFSA Publishing, S.L. 2010-08-01
Series:Sensors & Transducers
Subjects:
Online Access:http://www.sensorsportal.com/HTML/DIGEST/august_2010/P_668.pdf
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spelling doaj-fb7087da247c458ea0abbbfbec52d9d72020-11-24T21:46:45ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792010-08-011198174181Determination of the Region of Stabilizing Controller Parameters of Polytopic PolynomialsI. Thirunavukkarasu0V. I. George1Mukund Kumar Menon2S. Shanmuga Priya3Dept of ICE, MIT, Manipal-IndiaDept of ICE, MIT, Manipal-IndiaDept of ICE, MIT, Manipal-IndiaDept of Chemical Engg, MIT, Manipal- IndiaIn the scenario of robust controller design for any given MIMO process system, control-designer faces real challenges in computing the optimum region of controller-parameters by following the conventional methodologies. Such methods are, in fact, much complex for analyzing and hence time consuming. In this paper, we employ the method of Kharitonov’s Theorem to determine the region for stabilizing controller-parameters (of polytypic polynomials). The main advantage of using this method is that it can be adopted or not only SISO, but also for MIMO system of any order; even if having perturbations in them. The Generalized Kharitonov Theorem given here provides a constructive solution to this problem by reducing it to the Hurwitz stability of a prescribed set of extremal line segments. The number of line segments in this test set is independent of the dimension of the parameter space. This test set has many important extremal properties that are useful in control systems. http://www.sensorsportal.com/HTML/DIGEST/august_2010/P_668.pdfMIMO systemRobust stabilityNon square matrixRegion of stabilizing
collection DOAJ
language English
format Article
sources DOAJ
author I. Thirunavukkarasu
V. I. George
Mukund Kumar Menon
S. Shanmuga Priya
spellingShingle I. Thirunavukkarasu
V. I. George
Mukund Kumar Menon
S. Shanmuga Priya
Determination of the Region of Stabilizing Controller Parameters of Polytopic Polynomials
Sensors & Transducers
MIMO system
Robust stability
Non square matrix
Region of stabilizing
author_facet I. Thirunavukkarasu
V. I. George
Mukund Kumar Menon
S. Shanmuga Priya
author_sort I. Thirunavukkarasu
title Determination of the Region of Stabilizing Controller Parameters of Polytopic Polynomials
title_short Determination of the Region of Stabilizing Controller Parameters of Polytopic Polynomials
title_full Determination of the Region of Stabilizing Controller Parameters of Polytopic Polynomials
title_fullStr Determination of the Region of Stabilizing Controller Parameters of Polytopic Polynomials
title_full_unstemmed Determination of the Region of Stabilizing Controller Parameters of Polytopic Polynomials
title_sort determination of the region of stabilizing controller parameters of polytopic polynomials
publisher IFSA Publishing, S.L.
series Sensors & Transducers
issn 2306-8515
1726-5479
publishDate 2010-08-01
description In the scenario of robust controller design for any given MIMO process system, control-designer faces real challenges in computing the optimum region of controller-parameters by following the conventional methodologies. Such methods are, in fact, much complex for analyzing and hence time consuming. In this paper, we employ the method of Kharitonov’s Theorem to determine the region for stabilizing controller-parameters (of polytypic polynomials). The main advantage of using this method is that it can be adopted or not only SISO, but also for MIMO system of any order; even if having perturbations in them. The Generalized Kharitonov Theorem given here provides a constructive solution to this problem by reducing it to the Hurwitz stability of a prescribed set of extremal line segments. The number of line segments in this test set is independent of the dimension of the parameter space. This test set has many important extremal properties that are useful in control systems.
topic MIMO system
Robust stability
Non square matrix
Region of stabilizing
url http://www.sensorsportal.com/HTML/DIGEST/august_2010/P_668.pdf
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