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Systematic LFT Derivation of Uncertain Electrical Circuits for Worst-Case Tolerance Analysis

Authors :
Ferber De Vieira Lessa, Moises
Korniienko, Anton
Scorletti, Gérard
Vollaire, Christian
Morel, Florent
Krähenbühl, Laurent
Vasconcelos, Joao
Ampère, Département Méthodes pour l'Ingénierie des Systèmes (MIS)
Ampère (AMPERE)
École Centrale de Lyon (ECL)
Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-École Centrale de Lyon (ECL)
Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
LIA franco brésilien James Clerk Maxwell (CNRS-CNPq) (LIA817)
Ampère, Département Energie Electrique (EE)
Departamento de Engenharia Elétrica [Minas Gerais] (DEE - UFMG)
Universidade Federal de Minas Gerais
Laboratoire Ampère CNRS UMR 5005, Université de Lyon, INSA - Lyon
Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-École Centrale de Lyon (ECL)
Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Source :
[Research Report] Laboratoire Ampère CNRS UMR 5005, Université de Lyon, INSA-Lyon. 2014
Publication Year :
2014
Publisher :
HAL CCSD, 2014.

Abstract

In line with the trend towards continuous miniaturization and price reduction, it is crucial to analyze the impact of uncertainties on the performance of electrical circuits. Performance is evaluated for the worst-case scenario and in the frequency domain, by computing upper and lower bounds. The purpose is not only to propose a method for the worst-case tolerance analysis but also to provide an efficient and a suitable tool for electrical engineers that can be easily applied to realistic electrical engineering problems. The proposed method is based on the robust analysis method (so-called mu-analysis) for which well-known and efficient algorithms exist. However in order to apply it, the problem under consideration has to be transformed in a standard minimal so-called LFT representation. Its derivation is a difficult task even for control systems engineers. Our paper proposes a transparent and systematic LFT derivation procedure for users based only on their knowledge of electrical engineering. At the end of the paper, an industrial example is provided which reveals the benefits and the efficiency of the proposed approach and how it can be applied to any linear electrical circuit.

Details

Language :
English
Database :
OpenAIRE
Journal :
[Research Report] Laboratoire Ampère CNRS UMR 5005, Université de Lyon, INSA-Lyon. 2014
Accession number :
edsair.dedup.wf.001..406c15364d0e1375dcf62f92f93bf602