Estimation of Parametric Fault in Closed-loop Systems

Hans Henrik Niemann; Niels Kjølstad Poulsen

doi:10.1109/ACC.2015.7170735

Estimation of Parametric Fault in Closed-loop Systems

Hans Henrik Niemann
, Niels Kjølstad Poulsen

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

The aim of this paper is to present a method for estimation of parametric faults in closed-loop systems. The key technology applied in this paper is coprime factorization of both the dynamic system as well as the feedback controller. Using the Youla-Jabr-Bongiorno-Kucera (YJBK) parameterization, it is shown that a certain matrix transfer function, the fault signature matrix, is an LFT (linear fractional transformation) of the parametric faults. Further, for limit parametric faults, the fault signature matrix transfer function can be approximated with a linear matrix function of the parametric faults.

Original language	English
Title of host publication	Proceedings of 2015 American Control Conference
Publisher	IEEE
Publication date	2015
Pages	201-206
ISBN (Print)	978-1-4799-8686-6
DOIs	https://doi.org/10.1109/ACC.2015.7170735
Publication status	Published - 2015
Event	2015 American Control Conference - Chicago, United States Duration: 1 Jul 2015 → 3 Jul 2015

Conference

Conference	2015 American Control Conference
Country/Territory	United States
City	Chicago
Period	01/07/2015 → 03/07/2015

Keywords

Parametric fault estimation
Closed-loop system
Feedback controllers
YJBK parameterization
MIMO systems

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title = "Estimation of Parametric Fault in Closed-loop Systems",

abstract = "The aim of this paper is to present a method for estimation of parametric faults in closed-loop systems. The key technology applied in this paper is coprime factorization of both the dynamic system as well as the feedback controller. Using the Youla-Jabr-Bongiorno-Kucera (YJBK) parameterization, it is shown that a certain matrix transfer function, the fault signature matrix, is an LFT (linear fractional transformation) of the parametric faults. Further, for limit parametric faults, the fault signature matrix transfer function can be approximated with a linear matrix function of the parametric faults.",

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AB - The aim of this paper is to present a method for estimation of parametric faults in closed-loop systems. The key technology applied in this paper is coprime factorization of both the dynamic system as well as the feedback controller. Using the Youla-Jabr-Bongiorno-Kucera (YJBK) parameterization, it is shown that a certain matrix transfer function, the fault signature matrix, is an LFT (linear fractional transformation) of the parametric faults. Further, for limit parametric faults, the fault signature matrix transfer function can be approximated with a linear matrix function of the parametric faults.

KW - Parametric fault estimation

KW - Closed-loop system

KW - Feedback controllers

KW - YJBK parameterization

KW - MIMO systems

U2 - 10.1109/ACC.2015.7170735

DO - 10.1109/ACC.2015.7170735

M3 - Article in proceedings

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SP - 201

EP - 206

BT - Proceedings of 2015 American Control Conference

PB - IEEE

T2 - 2015 American Control Conference

Y2 - 1 July 2015 through 3 July 2015

ER -

Estimation of Parametric Fault in Closed-loop Systems

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